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{{Paper
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==None==
https://ceur-ws.org/Vol-1534/preface.pdf
Preface
Social network analysis (SNA) is a multidisciplinary research area that has at-
tracted many researchers from different disciplines such as Physics, Mathemat-
ics, Sociology, Biology and Computer Science, and has been studied according
to different approaches and techniques. A social network is a dynamic structure
(generally represented as a graph) of a set of entities/actors (nodes) together
with links (edges) between them. The explosive growth of online social media
has provided users with the opportunity to create and share digital content on
a range hardly imaginable a few years ago. Indeed, massive participation has
transformed online social networks into cores of social activity and a critical
information vehicle. This is reflected by the number of news, opinions, and
reviews that are constantly posted and discussed on these networks. The size
and diversity of user-generated content create an opportunity for identifying
central and influential players, behavioral trends and user communities. Formal
concept analysis (FCA) is a branch of lattice theory motivated by the need for
a clear formalization of the notions of concept and conceptual hierarchy. It has
been successfully used for conceptual clustering and association rule mining.
We believe that formal concept analysis and its extensions can contribute to
the analysis and mining of social networks, e.g., affiliation and interaction net-
works, and possibly more complex structures. The first studies on using FCA
for key player and community detection were conducted in the nineties. As the
previous SNAFCA event (see http://snafca.free.fr), the second edition was co-
located with the International Conference on Formal Concept Analysis (ICFCA
2015) and was held in Nerja (Spain) on June 25, 2015. The objective of the
SNAFCA’2015 workshop was to bring together researchers and practitioners to
discuss the ways the two research areas can benefit from each other’s advances
and study the potential of formal concept analysis in proposing new and efficient
solutions to key topics in SNA such as central/influential actor identification,
community detection and evolution, link prediction, and network reorganiza-
tion. The workshop program included an introductory talk titled “Using FCA
for Social Network Analysis” by Rokia Missaoui, regular talks, followed by a
panel discussion “Why FCA for SNA?” moderated by Sergei Kuznetsov. The
proceedings of SNA workshop include seven papers that were reviewed by at
least two reviewers.
During the panel discussion the following issues were raised and discussed:
Finding the meeting point of FCA, Descriptions logic and SNA Having clearer
definitions of SNA goals in FCA terms Alignment of the notions of central/peri-
pheral nodes by Freeman with SNA centrality User-controlled filters Privacy
issues Representing the dynamicity in social networks by FCA means, includ-
ing the key topic of community detection and evolution R package for FCA
Proximity and similarity measures through FCA means.
To conclude this preface, we would like to thank all the authors for their
contributions and the organizers of ICFCA’2015 for their kind support in hosting
SNAFCA’2015. Our warm thanks go also to the reviewers for their careful
review of the submissions and their useful comments and suggestions. Finally,
the success of this event was possible thanks to the active participation of thirty-
five attendees and the dedication of Sid Ali Selmane, who acted as a webmaster
of the workshop site.
November 2015 Sergei O. Kuznetsov,
Rokia Missaoui,
Sergei Obiedkov
Organizing Committee
Rokia Missaoui, Universite du Quebec en Outaouais, Canada
Sergei O. Kuznetsov, National Research University Higher Schools of Economics,
Moscow, Russia
Sergei Obiedkov, National Research University Higher Schools of Economics,
Moscow, Russia
Program Committee
Peter Eklund, IT University in Copenhagen
Reda Alhajj, University of Calgary, Canada
Karell Bertet, Universite de La Rochelle, France
Mohamed Bouguessa, Universite du Quebec a Montreal, Canada
Leonard Kwuida, Bern University of Applied Sciences, Switzerland
Sergei O. Kuznetsov, National Research University Higher School of Economics,
Russia
Jurgen Lerner, University of Konstanz, Germany
Rokia Missaoui, Universite du Quebec en Outaouais (UQO), Canada
Amedeo Napoli, Universite de Lorraine, France
Lhouari Nourine, Universite Blaise Pascal, France
Sergei Obiedkov, National Research University Higher School of Economics,
Russia
Camille Roth, CNRS/EHESS, Paris, France
Sebastian Rudolph, University of Karlsruhe, Germany
Gerd Stumme, University of Kassel, Germany
Petko Valtchev,Universite du Quebec a Montreal (UQAM), Canada