<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Modelling the Complex of Automation of Company Marketing Activity in Online Communities</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Head of educational and scientific center of IT, Zhytomyr National Agroecological University</institution>
          ,
          <addr-line>Zhytomyr</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Kharkiv State Academy of Culture</institution>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Lviv Polytechnic National University</institution>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>This paper deals with actual problem of investigation the usage of online communities in the company marketing activities. Based on a formal description of characteristics, data on online communities and discussions and their analysis results, an information model of a community for online marketing has been built, which serves as the basis for a database structure for accounting of information flows in online communities. The task of determination of indicators of relevance and importance of online communities marketing was proposed. The use of tproposed indicators in solving community selection tasks for representatives' participation of the company was considered. The usage of the database provisioning in the process of creating, verifying and distributing marketing messages in online communities was suggested. By formalizing and computerizing the online communication process proposed methods in this work helps defined threats in discussions and violations of online rules and traditions.</p>
      </abstract>
      <kwd-group>
        <kwd>online marketing</kwd>
        <kwd>online community</kwd>
        <kwd>information threat</kwd>
        <kwd>marketing</kwd>
        <kwd>information model</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Modern companies and organizations often use online communities to share
marketing information about a company and its products. In this case, the active involvement
of the marketer in online communities involves work, which relates to the accounting
and analysis of online communities and their content. By formalizing and
computerizing the communication process, you can avoid undesirable risks for the company.
Threats may arise from unqualified discussions or violations of online rules and
traditions.</p>
      <p>Among the typical tasks, the key ones with regard to the activities in online
communities are the choice of the strategy for using communities in marketing; selection
of online communities for certain activities; analysis of the effectiveness of marketing
information flows in the virtual environment.</p>
      <p>A significant aspect of effective online marketing in an information-intensive
environment of the online communities is the use of the modern information technology
solutions, user-orianted mathematical services and software. These services process
the large volumes of data in real-time.</p>
      <p>
        The main up-to-date investigations of marketing activities in online community are
divided into the following fields:
 information retrieval and web content analysis [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1-3</xref>
        ];
 approaches for creating and managing of online communities [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ];
 web sites positioning in the web, information activities management of the
company in the sites networks [
        <xref ref-type="bibr" rid="ref5 ref6 ref7">5-7</xref>
        ];
 approaches of online communities marketing [
        <xref ref-type="bibr" rid="ref10 ref8 ref9">8-10</xref>
        ];
 quality management system in universities [
        <xref ref-type="bibr" rid="ref11 ref12 ref13 ref14 ref15">11-15</xref>
        ];
 conception of relevant and important for marketing online communities and
discussions [
        <xref ref-type="bibr" rid="ref17 ref18 ref19 ref20 ref21 ref22 ref23">17-23</xref>
        ];
 resources and risks in marketing strategies for online communities [
        <xref ref-type="bibr" rid="ref24 ref25 ref26 ref27">24-27</xref>
        ].
2
      </p>
      <p>Database for accounting for marketing communications
For the full accounting of marketing communications in online communities, we use
an expanded Information Flows Database. The database consists of the following
components:
 Community Database is used for basic information about online communities;
 Discussion Database is used for information about discussions in online
communities;
 Service Database is used for accounting of service information.</p>
      <p>Depending on the functional duties and the area of responsibility, data bases are filled
by specialists in different workplaces of the system complex. This process is gradual
and continuous if the activities of business representatives in online communities are
constant. Let us consider the structure of each component of the extended database.
2.1</p>
      <p>Accounting for online communities
The online Communities Database is used for accounting of the online communities
covered by the company's marketing activities, their technical and statistical
characteristics.</p>
      <p>Database filling is performed in the process of performing tasks:
 search and account of relevant online communities based on the elected strategy;
 accounting and analyzing rules, statistics and semantic characteristics of relevant
online communities, keeping them topicality;
 forming and accounting of standard for evaluating the importance of the online
community in terms of specific marketing activities (advertising, public action,
positioning of the site of the company, work with clients, etc.);
 selection of important online communities in accordance with defined standards for
marketing activities.</p>
      <p>Community Rules - User Profile
Community Rules - Posting</p>
    </sec>
    <sec id="sec-2">
      <title>PK,FK1 Community ID</title>
    </sec>
    <sec id="sec-3">
      <title>PK,FK1 Community ID</title>
      <p>Using real name, last name
Using a nickname
Using the Latin alphabet
Using Cyrillic
Using the site address
Using a business or product name
Validity of avatars in a user's signature
Avatar size
Admissibility in the signature of graphic images
Admissibility in signature links
Maximum number of lines in a signature
Maximum number of characters in a signature
Online Community
PK</p>
    </sec>
    <sec id="sec-4">
      <title>Community ID</title>
    </sec>
    <sec id="sec-5">
      <title>Community Name Website address</title>
      <p>Community Description
Website management system</p>
      <p>Markup language
FK1 Community type ID
Admissibility of publication of advertising materials
Affordability of attached Files
Maximum size of attachments
Allowed types of attachments
Maximum size of image objects
Allowed types of graphic objects
Allowed links
Admissibility of referrals</p>
      <p>Language of communication</p>
    </sec>
    <sec id="sec-6">
      <title>PK Language ID</title>
    </sec>
    <sec id="sec-7">
      <title>Language Name</title>
      <p>Comment
Community Rules - Working languages</p>
    </sec>
    <sec id="sec-8">
      <title>PK,FK1 Community ID PK,FK2 Language ID</title>
    </sec>
    <sec id="sec-9">
      <title>Is Working language Priority</title>
      <p>Types of online communities</p>
    </sec>
    <sec id="sec-10">
      <title>PK Community type ID</title>
    </sec>
    <sec id="sec-11">
      <title>Community type Name</title>
      <p>Comment</p>
      <p>Community statistics</p>
    </sec>
    <sec id="sec-12">
      <title>PK,FK1 Community ID PK Statistics Date</title>
      <p>Number of participants
Number of discussions
Number of posts
Number of external links
Number of views of posts
Frequency of discussions
Frequency of posts in discussions
Approximate daily attendance</p>
      <p>Recommendations for work - Style of discussion</p>
    </sec>
    <sec id="sec-13">
      <title>PK,FK1 Community ID</title>
      <p>Optimal message size
Feasibility of using promotional graphic objects
Advisability of using advanced formatting
Optimum number of links in the message
Admissibility of advanced site citation
Optional UserName</p>
      <p>Special linguistic characteristics (slang, etc.).</p>
      <p>Database for accounting data and discussion characteristics
In addition to the characteristics of online accounting communities, discussions that
contain valuable marketing information and reflect the activities of business
representatives in online communities are also a subject for discussion. Discussion
database is used for accounting for discussion information. The result is:
 research and recording relevant discussions;
 accounting for technical and semantic characteristics of relevant discussions.
On Fig. 2 is an ER diagram of the "Discussion" Database.</p>
      <p>Technical description of Discussions
PK,FK1 Discussion ID
PK Characteristic Date</p>
      <p>Number of posts in the discussion
Number of views
Date of the last post in the discussion
Date of the last view
Number of external links
Average daily intake of posts</p>
      <p>Average daily views intensity</p>
      <p>Author</p>
    </sec>
    <sec id="sec-14">
      <title>PK Author ID</title>
    </sec>
    <sec id="sec-15">
      <title>Author Name Is Employee</title>
      <p>E-mail
Autor's site
Discussion
PK</p>
    </sec>
    <sec id="sec-16">
      <title>Discussion ID FK1 Community ID Content of the discussion Date of discussion creation</title>
      <p>FK2 Author
FK3 Discussion type ID
Online Communities</p>
    </sec>
    <sec id="sec-17">
      <title>PK Community ID</title>
    </sec>
    <sec id="sec-18">
      <title>Community Name ...</title>
      <p>Discussion type</p>
    </sec>
    <sec id="sec-19">
      <title>PK Discussion type ID</title>
    </sec>
    <sec id="sec-20">
      <title>Discussion type Name</title>
      <p>Comment</p>
      <p>Post
PK</p>
      <p>Discussion ID
FK1 Post ID</p>
      <p>Post content</p>
      <p>Post Date
FK2 Author</p>
      <p>Date of the last view
Semantic characteristics of the discussion</p>
    </sec>
    <sec id="sec-21">
      <title>PK,FK1 Discussion ID PK Characteristic Date</title>
      <p>Rate of the discussion
Reactions to marketing messages</p>
      <p>Completeness of the discussion.</p>
      <p>Database for accounting of business information
Singly from the chosen strategy for using online communities, for the effective work
of the marketer, all the results of the analysis of communities and discussions must be
recorded in the databases and actively used in future work.</p>
      <p>This especially concern with the information of the relevance and importance of the
community and the data needed to evaluate them.</p>
      <p>In Fig. 3 is an ER diagram of the database in part of accounting for the relevance and
importance of online communities and discussions.</p>
      <p>Compliance with OC and MT topics
PK,FK1 Community ID
PK,FK2 Marketing term ID</p>
      <p>Comment</p>
      <p>Marketing term Group
PK MP Group ID</p>
      <p>MT Group Name</p>
      <p>Comment
PK</p>
      <p>Marketing term (MT)
Marketing term ID
Marketing Name</p>
      <p>Comment
FK1 Marketing term Group ID</p>
      <p>Relevance of D and MT
PK,FK2 Marketing term ID
PK,FK1 Discussion ID</p>
      <p>Comment</p>
      <p>Community relevancy
PK,FK1 Community ID
PK Analysis Date</p>
      <p>Community importance
PK,FK1 Community ID
PK,FK2 Task ID</p>
      <p>PK Analysis Date</p>
    </sec>
    <sec id="sec-22">
      <title>Community Relevancy</title>
      <p>Comment</p>
    </sec>
    <sec id="sec-23">
      <title>Community Importance</title>
      <p>Online community (OC)
PK Community ID</p>
    </sec>
    <sec id="sec-24">
      <title>Community Name ...</title>
      <p>Marketing activity
PK Task ID</p>
    </sec>
    <sec id="sec-25">
      <title>Task Name</title>
      <p>Description
Begin Date
End Date
Comment
Factors of community importance
PK Factor ID</p>
    </sec>
    <sec id="sec-26">
      <title>FK1 Task ID Factor weight</title>
      <p>Factor of discussion importance
PK Factor ID</p>
    </sec>
    <sec id="sec-27">
      <title>FK1 Task ID Factor weight</title>
      <p>Discussion iimportance
PK,FK2 Community ID
PK,FK1 Task ID
PK Analysis Date</p>
    </sec>
    <sec id="sec-28">
      <title>Discussion Importance PK</title>
      <p>Discussion (D)</p>
      <p>Discussion ID</p>
    </sec>
    <sec id="sec-29">
      <title>FK1 Community ID ...</title>
      <p>Discussion relevance
PK,FK1 Discussion ID
PK Analysis Date</p>
    </sec>
    <sec id="sec-30">
      <title>Discussion Relevance</title>
      <p>Comment
In general, all the activities of the marketer, the activities he took part in, the results of
the analysis and evaluation of the online content of online communities should also be
recorded in the database. This will also add transparency and validity to the - process
of making decision of marketing in online communities.</p>
      <p>It is also important to accumulate and save the information related to process of
finding data and creating content for online communities. Particulary, following
information is a subject for accounting:
 multiple marketing terms for search communities and discussions;
 types of marketing activities and types of community outreach activities;
 global search engine query templates;
 regular expression templates for parse the content of the pages;
 options for assessing the importance of online communities and discussions;
 templates for typical posts.</p>
      <p>In addition, in this database, it is advisable to account the distribution of executors on
siteswhich are important for marketing online communities.</p>
      <p>An important moment in the process of filling the database "Service Information"
is to form comments about the conditions of obtaining and using practical experience:
when a particular query was used, template or set of parameters, etc. This data can be
served as a knowledge base for contractors and experts.
3</p>
      <p>Architecture of the Complex of Automation of Company
Marketing Activity in Online Communities
The software for support the company marketing activity in online communities
contains the following components:
 "Searcher" is use for search online communities and discussions;
 "Analyst" is use for analyzing the information flows in online communities;
 "Online Marketer" is use for interaction of the marketer with online communities;
 "Coordinator" is use for organizing and coordinating activities of marketers in
communities;
 “Manager” is use for strategic planning and overall process control.
Figure 3 shows the functionality and basic information flows of the system.
Depending the chosen strategy for using online communities in your marketing
activities, some features may not be involved. In this case of an analytical strategy, all
activities are limitedfor finding relevant and important online communities, monitoring
and analyzing their content, and therefore the functionality of "Coordinator" and
"Online Marketer" is not required. In case of limited human resources one specialist
can work in several workplaces, provided the functionality does not violate the logic
of the system in a whole. Particulary, it's possible to combine the following features:
 “Searcher” and “Analyst”;
 “Analyst” and “Coordinator”;
 “Manager” and “Coordinator”.</p>
      <p>However, combining a “Coordinator” and an “Online Marketer” by same person can
lead to abuse on her part and, as a consequence, a poor coordination of the activities
of marketers in online communities.</p>
      <p>The search of online communities and discussions is carried on the early stages of
organizing the company's marketing activities in virtual environments. In the future,
part of work is about monitoring selected online communities and discussions. In
addition, when marketing topic changes or need to be in another (possibly larger) set
of online communities, there is a need for repeated or expanded community searches
and discussions that can be further used to retrieve and disseminate information.</p>
      <p>The Searcher provides the following main features:
 accounting of primary and adjuvant information, including:
 accounting of the multiple marketing terms that are searched;
 formation and accounting of search query templates;
 rating of the relevance of found by marketing communities terms;
 accounting for relevant online communities and their characteristics;
 assessment of the relevance of the discussions found;
 consideration of relevant discussions and their characteristics;
 updating statistics of online communities and discussions;

monitor company web-sites and online communities to identify suspicious activity
and likely information attacks on the company.</p>
      <p>Determination of</p>
      <p>marketing
strategy, key
metrics and
performance</p>
      <p>criteria</p>
      <p>Analyzing
the content of
relevant online
communities
Analysis
onlinecommunities</p>
      <p>WWW</p>
      <p>Manager
Analyst</p>
      <p>Coordinator</p>
      <p>Analyzing
the use of online
communities in
marketing</p>
      <p>Organizing
marketing
activities in online
communities</p>
      <p>Interaction of
representatives in
online
communities
Searcher</p>
      <p>Online marketer - 1</p>
      <p>Online marketer - 2</p>
      <p>Online marketer - N
...</p>
      <p>WWW
Services</p>
      <p>Site access logs</p>
      <p>Онлайн-спільноти
Онлайн-спільноти
Online-communities
The analyst processes the content of online communities and performs the following
functions:
 formation and analysis of multiple marketing terms;
 analysis of online community statistics and discussions;
 determining the criteria for selecting important online communities and
discussions;
 identifying the importance of online communities and discussions;
 selection of important online communities and discussions to accomplish specific
marketing tasks;
 analyzing the activity of competitors in online communities and taking them into
account in the planning of the company activity;
 аnalyzing critical messages in online communities and identifying problem areas in
their business.</p>
      <p>An important function of the analyst is to analyze information flows on company sites
and relevant communities and to identify threats for organization that arise from
unqualified and malicious activity in online communities.</p>
      <p>In case of confirmation of the information attack on the company in social media,
the analyst sends the necessary information to the Coordinator to plan the
counteraction measures and their further implementation by the online marketer.</p>
      <p>Guided by the strategy chosen by the management, the analyst assesses the
sufficiency of the many found relevant online marketing and statistical data. Next, the
specialist analyzes the importance of online community and discussion characteristics
for marketing tasks and determines the weighting factors that willbe used for
evaluation the online community's importance for discussions and discussions.</p>
      <p>An online marketer uses the “Information Streams” database to perform the
following functions:
 forming and posting new messages, comments and replies to requests from users
on community sites;
 monitoring discussions in online communities;
 interaction with the administration of online communities;
 accounting and analysis of their own marketing communications;
 analyzing the reaction of other online community members to actions of marketer.
The efficiency and transparency of the communication process and it independence
from the contractors are determined by the completeness of accounting of the
activities of marketers in the database "Information flows" and the activity of using their
data (characteristics of online communities, supporting information, etc).</p>
      <p>The coordinator provides support for the following features:
 analyzing the effectiveness of using online communities in marketing;
 determining restrictions on the activities of marketers in online communities;
 ensuring the best distribution of marketers across multiple communities;
 assessing the effectiveness of marketers in their assigned communities;
 coordinating of marketers' engagement with online communities.
"Coordinator" and "Analyst" generate analytic data to evaluate the effectiveness of
the online community's communication capabilities to disseminate marketing
information and consumer communication. Analyzing the effectiveness of
communications, combined with the cost analysis of business representatives in online
communities, allows management to review the strategy of using virtual environments, to plan
marketing activities and resources for their implementation.
4</p>
      <p>Conclusions
Computer support for marketing activities in a virtual environment can be done using
a database that takes into account the search results of relevant and important online
communities and the information flows of the company's interactions with the
community. The strategy of using online communities determines the functionality of the
system and the list of tasks for marketers, during the execution of which information
content of the database is formed. The proposed database model can be the basis for
building a knowledge base for communications in online communities. The
implementation of the complex of automation supports the planning of marketing actions
and decisions making to coordinate the activity of marketers and increases the
efficiency of using virtual communities in marketing.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Kim</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hastak</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Social network analysis: Characteristics of online social networks after a disaster</article-title>
          .
          <source>International Journal of Information Management</source>
          , vol.
          <volume>38</volume>
          ,
          <issue>1</issue>
          ,
          <fpage>86</fpage>
          -
          <lpage>96</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>See-Toa</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ho</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>Value co-creation and purchase intention in social network sites. A theoretical analysis</article-title>
          .
          <source>Computers in Human Behavior</source>
          , vol.
          <volume>31</volume>
          ,
          <fpage>182</fpage>
          -
          <lpage>189</lpage>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Rains</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Brunner</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>What can we learn about social network sites by studying</article-title>
          <source>Facebook? 17</source>
          ,
          <issue>1</issue>
          ,
          <fpage>114</fpage>
          -
          <lpage>131</lpage>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Sloboda</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          :
          <article-title>Peculiarities of positioning and online marketing of Lviv Polytechnic National University in social networks</article-title>
          .
          <source>European Applied Sciences</source>
          ,
          <volume>5</volume>
          ,
          <issue>2</issue>
          ,
          <fpage>24</fpage>
          -
          <lpage>32</lpage>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Fedushko</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleschyshyn</surname>
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleschyshyn</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            <given-names>Y</given-names>
          </string-name>
          :
          <article-title>The Verification of Virtual Community Member's Socio-Demographic Profile</article-title>
          .
          <source>Advanced Computing: An International Journal (ACIJ)</source>
          , vol.
          <volume>4</volume>
          , no.
          <issue>3</issue>
          ,
          <fpage>29</fpage>
          -
          <lpage>38</lpage>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Russell</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Mining the Social Web: Data Mining Facebook</article-title>
          , Twitter, LinkedIn, Google+, GitHub, and
          <string-name>
            <surname>More. O'Reilly Media</surname>
          </string-name>
          , Inc. (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Liu</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          :
          <article-title>Web Data Mining: Exploring Hyperlinks</article-title>
          , Contents, and
          <string-name>
            <surname>Usage Data.</surname>
          </string-name>
          (
          <year>2011</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Plume</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dwivedi</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Slade</surname>
          </string-name>
          , E.:
          <article-title>Online Brand Communities, Social Media in the Marketing Context, A State of the Art Analysis</article-title>
          and
          <source>Future Directions</source>
          ,
          <fpage>41</fpage>
          -
          <lpage>78</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Bandias</surname>
            <given-names>S.:</given-names>
          </string-name>
          <article-title>Social media: the new tool in business education</article-title>
          .
          <source>Public Interest and Private Rights in Social Media, Chandos Publishing Social Media Series</source>
          ,
          <fpage>115</fpage>
          -
          <lpage>128</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Rath</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Application and Impact of Social Network in Modern Society</article-title>
          .
          <source>Hidden Link Prediction in Stochastic Social Networks</source>
          ,
          <fpage>30</fpage>
          -
          <lpage>49</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Myna</surname>
          </string-name>
          , Zh.,
          <string-name>
            <surname>Yarka</surname>
            ,
            <given-names>U.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleschyshyn</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bilushchak</surname>
          </string-name>
          , Т.:
          <article-title>Using International Standards of Quality Management System in Higher Educational Institutions</article-title>
          . In: XIIIth International Conference “Modern Problems of Radio Engineering, Telecommunications and Computer Science” (TCSET'
          <year>2016</year>
          ),
          <fpage>834</fpage>
          -
          <lpage>837</lpage>
          ,
          <string-name>
            <surname>Lviv</surname>
          </string-name>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Korzh</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fedushko</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Protection of University Information Image from Focused Aggressive Actions</article-title>
          .
          <source>Advances in Intelligent Systems and Computing: Recent Advances in Systems, Control and Information Technology, SCIT 2016</source>
          , vol.
          <volume>543</volume>
          , pp.
          <fpage>104</fpage>
          -
          <lpage>110</lpage>
          . Springer (
          <year>2017</year>
          ). DOI:
          <volume>10</volume>
          .1007/978-3-
          <fpage>319</fpage>
          -48923-0_
          <fpage>14</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Korzh</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            ,
            <given-names>Yu.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fedushko</surname>
          </string-name>
          , S.: University's Information Image as a Result of University Web Communities' Activities.
          <source>Advances in Intelligent Systems and Computing: Selected Papers from the International Conference on Computer Science and Information Technologies</source>
          ,
          <string-name>
            <surname>CSIT</surname>
          </string-name>
          <year>2016</year>
          , vol.
          <volume>512</volume>
          , pp.
          <fpage>115</fpage>
          -
          <lpage>127</lpage>
          . Springer (
          <year>2017</year>
          ). DOI:
          <volume>10</volume>
          .1007/978-3-
          <fpage>319</fpage>
          -45991-
          <issue>2</issue>
          _
          <fpage>8</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Korzh</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleschyshyn</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            ,
            <given-names>Yu.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fedushko</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Principles of University's Information Image Protection from Aggression</article-title>
          .
          <source>In: Proceedings of the 11th International Scientific and Technical Conference on Computer Sciences and Information Technologies</source>
          ,
          <string-name>
            <surname>CSIT</surname>
          </string-name>
          <year>2016</year>
          , pp.
          <fpage>77</fpage>
          -
          <lpage>79</lpage>
          .
          <string-name>
            <surname>Lviv</surname>
          </string-name>
          (
          <year>2016</year>
          ). DOI:
          <volume>10</volume>
          .1109/STC-CSIT.
          <year>2016</year>
          .
          <volume>7589873</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>Markovets</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Stages of implementation of citizens' appeals processing system in heterogeneous web environments</article-title>
          ,
          <source>International Scientific and Technical Conference on Computer Sciences and Information Technologies</source>
          , Vol.
          <volume>1</volume>
          ,
          <fpage>75</fpage>
          -
          <lpage>78</lpage>
          . (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Messik</surname>
          </string-name>
          , R.:
          <article-title>Social media: blessing or curse? - a business perspective</article-title>
          .
          <source>Public Interest and Private Rights in Social Media, Chandos Publishing Social Media Series</source>
          ,
          <fpage>145</fpage>
          -
          <lpage>152</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <surname>Christensen</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liland</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          , et al.:
          <article-title>Mining online community data: The nature of ideas in online communities</article-title>
          .
          <source>Food Quality and Preference</source>
          , vol.
          <volume>62</volume>
          ,
          <fpage>246</fpage>
          -
          <lpage>256</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.
          <string-name>
            <surname>Hussain</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Guangju</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jafar</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ilyas</surname>
            ,
            <given-names>Z.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mustafa</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jianzhou</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Consumers' online information adoption behavior: Motives and antecedents of electronic word of mouth communications</article-title>
          .
          <source>Computers in Human Behavior</source>
          , vol.
          <volume>80</volume>
          ,
          <fpage>22</fpage>
          -
          <lpage>32</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          19.
          <string-name>
            <surname>Zeng</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Foresight by online communities - The case of renewable energies</article-title>
          .
          <source>Technological Forecasting and Social Change</source>
          , vol.
          <volume>129</volume>
          ,
          <fpage>27</fpage>
          -
          <lpage>42</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          20.
          <string-name>
            <surname>Taiminen</surname>
          </string-name>
          , H.:
          <article-title>How do online communities matter? Comparison between active and nonactive participants in an online behavioral weight loss program</article-title>
          .
          <source>Computers in Human Behavior</source>
          , vol.
          <volume>63</volume>
          ,
          <fpage>787</fpage>
          -
          <lpage>795</lpage>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          21.
          <string-name>
            <surname>Fedushko</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            <given-names>Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kolos</surname>
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Hashtag as а Way of Archiving and Distributing Information on the Internet</article-title>
          .
          <source>CEUR Workshop Proceedings</source>
          . Vol.
          <volume>2386</volume>
          :
          <source>Workshop Proceedings of the 8th International Conference on “Mathematics. Information Technologies. Education</source>
          .
          <volume>274</volume>
          -
          <fpage>286</fpage>
          (
          <year>2019</year>
          ). http://ceur-ws.
          <source>org/</source>
          Vol-
          <volume>2386</volume>
          /paper20.pdf
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          22.
          <string-name>
            <surname>Hryshchuk</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Molodetska</surname>
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Method of Improving the Information Security of Virtual Communities in Social Networking Services</article-title>
          .
          <source>CEUR Workshop Proceedings</source>
          .
          <year>2019</year>
          . Vol
          <volume>2392</volume>
          :
          <source>Proceedings of the 1st International Workshop on Control, Optimisation and Analytical Processing of Social Networks, COAPSN-2019</source>
          . p.
          <fpage>23</fpage>
          -
          <lpage>41</lpage>
          (
          <year>2019</year>
          )..
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          23.
          <string-name>
            <surname>Davydova</surname>
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Marina</surname>
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Slianyk</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Social Networks in Developing the Internet Strategy for Libraries in Ukraine</article-title>
          .
          <source>CEUR Workshop Proceedings</source>
          . Vol
          <volume>2392</volume>
          :
          <source>Proceedings of the 1st International Workshop on Control, Optimisation and Analytical Processing of Social Networks, COAPSN-2019</source>
          .
          <fpage>122</fpage>
          -
          <lpage>133</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          24.
          <string-name>
            <surname>Yavorska</surname>
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Prihunov</surname>
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Syerov</surname>
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Libraries in Social Networks: Opportunities and Presentations</article-title>
          .
          <source>CEUR Workshop Proceedings</source>
          . Vol
          <volume>2392</volume>
          :
          <source>Proceedings of the 1st International Workshop on Control, Optimisation and Analytical Processing of Social Networks, COAPSN-2019</source>
          .
          <fpage>242</fpage>
          -
          <lpage>251</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          25. Cheng, F.,
          <string-name>
            <surname>Wu</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chen</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Creating customer loyalty in online brand communities</article-title>
          .
          <source>Computers in Human Behavior</source>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          26.
          <string-name>
            <surname>Boon</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pitt</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Salehi-Sangaria</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          :
          <article-title>Managing information sharing in online communities and marketplaces</article-title>
          .
          <source>Business Horizons</source>
          , vol.
          <volume>58</volume>
          , issue
          <volume>3</volume>
          ,
          <fpage>347</fpage>
          -
          <lpage>353</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref27">
        <mixed-citation>
          27.
          <string-name>
            <surname>Teo</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Johri</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lohani</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          :
          <article-title>Analytics and patterns of knowledge creation: Experts at work in an online engineering community</article-title>
          .
          <source>Computers &amp; Education</source>
          ,
          <volume>112</volume>
          ,
          <fpage>18</fpage>
          -
          <lpage>36</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>