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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Exiled But Not Forgotten: Investigating Commemoration of Musicians in Vienna After 1945 Through Visual Analytics</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Velitchko Filipov</string-name>
          <email>lipov@tuwien.ac.at</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nathalie Soursos</string-name>
          <email>n.soursos@extern.muk.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Victor Schetinger</string-name>
          <email>victor.schetinger@tuwien.ac.at</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Susana Zapke</string-name>
          <email>s.zapke@muk.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Silvia Miksch</string-name>
          <email>miksch@ifs.tuwien.ac.at</email>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Music and Arts University of Vienna</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>How is music functionalized to urban symbolic politics in the City of Vienna after 1945 until today? To address this question, we present a novel visualization for interactive analysis of multiple biographical timelines connected to Austrian music history. Instead of simply comparing the biographies of over 200 composers, musicians, and conductors in a linear fashion, we connect them with the urban processes that constituted the topos 'Music City Vienna', such as street-naming, awards, anniversaries, and exhibitions. The proposed approach intertwines people, events, and locations, allowing the interactive analysis of multi-modal data. Our main goal is to explore continuities and discontinuities, to find underlying trends and different narratives. Ultimately, this work is intended to stimulate the discussion on the challenges of performing visual analytics of historical data.</p>
      </abstract>
      <kwd-group>
        <kwd>Timelines</kwd>
        <kwd>Storytelling</kwd>
        <kwd>Narrative Visualization</kwd>
        <kwd>Music History</kwd>
        <kwd>Urban Symbolic Politics</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        Vienna is associated with music more than any other
European city. The Austrian capital is not only related to
iconic composers, among others the First Viennese School
of the Classical period (Joseph Haydn, Wolfgang Amadeus
Mozart and Ludwig van Beethoven) and in the 20th century
to the Second Viennese School (Arnold Schönberg, Alban
Berg, Anton Webern), but it is also well known for the
Wiener Walzer and the Wiener Operette as well as for the
Wiener Opernball and the Wiener Philharmoniker. The
Austrian capital has a strong defined and longstanding
identity constructed by means of music. Therefore, Vienna
successfully claims since the 19th century to be named
Music City of Vienna
        <xref ref-type="bibr" rid="ref3">(Nußbaumer, 2007; Barber-Kersovan
et al., 2014)</xref>
        . Besides the cultural, socio-political, and
economic potential for tourism and city marketing, the
topos Music City was also used as an instrument of political
power. Particularly, since 1945 the potential of its
internationally well known musicians was recognized by the
city and its cultural management. The connection between
the city and its musicians was topographically manifested
by street-naming, monuments, plaques, memorials, and
celebrated by anniversaries, concerts, exhibitions, and
awards.
      </p>
      <p>
        In the joint FWF-Peek-project “Interactive Music Mapping
Vienna: Exploring a city. 1945 up to the present day”
(IMMV) we explore how music acts in the urban context
of Vienna as a social identification instrument and how
music is functionalized to urban symbolic politics. IMMV
aims to unravel the narrative of the Music City of Vienna
topos in its entirety, by analyzing the basic types of music
utilization (city tourism, city politics, image creation)
        <xref ref-type="bibr" rid="ref18">(Zapke, 2017)</xref>
        . The concrete subject of our research are the
events and festivities in the public space of Vienna during
the Second Republic (1945 up to 2018).
      </p>
      <p>
        In this interdisciplinary project we explore how
Visual Analytics (VA) approaches can be used to embed
large amounts of historical and musicological data in space
and time. VA is defined as the science of analytical
reasoning facilitated by interactive visual interfaces
        <xref ref-type="bibr" rid="ref17">(Thomas
and Cook, 2006)</xref>
        and provides a means to navigate and
interact with multi-modal data in different granularities
and levels of abstraction. VA solutions can arise
organically in an environment of interdisciplinary research in
an effort to both formulate and answer questions about data.
In IMMV we have designed and developed multiple
interactive visualizations for exploring the data from
different perspectives. We have explored how we can
map events to a spatio-temporal overview visualization
and how we can embed those same events in a different
context with a specific focus on the relational and temporal
aspects of the data. Through VA we allow the development
of narratives. The festivity becomes the unit of data in
chronological and geospatial visualizations, allowing the
comparative revision of continuities and discontinuities,
and contextualizing them within the city landscape.
In this paper, we explore the timelines of the
musicians that were exiled from Austria between 1938 and
1945 and how the City of Vienna chose to recognize and
commemorate them after 1945. The main contribution
of this paper is to present a novel visualization technique
that allows the comparison between many different
biographies, in order to create new potential narratives
and to contextualize the visualization within a process of
historical research. We relay this process and show the
impact of different research goals in the development of
our visualization.
      </p>
    </sec>
    <sec id="sec-2">
      <title>Related Work</title>
      <p>
        Related work falls mainly into two categories: the
representation of temporal linearity, and of urban spatiality.
Visually comparing timelines and time-oriented data is
a well discussed topic within VA
        <xref ref-type="bibr" rid="ref1">(Aigner et al., 2008)</xref>
        .
“TimeLineCurator”
        <xref ref-type="bibr" rid="ref7">(Fulda et al., 2016)</xref>
        offers interactive
authoring of timelines using natural language processing
to automatically parse, extract, and structure event data
from a corpus of text. The timelines are visualized
horizontally and color is used to denote different tracks
(events from different sets or documents), distinguishing
multiple timelines. Furthermore, glyphs are employed in
this visualization to depict the differences between events
that span an interval of time or occur at a specific point in
time. Glyphs and other visual variables, such as color, size,
and shape, can be used to visually distinguish events with
different characteristics or categorical dimensions. In a
similar manner “TimeSets”
        <xref ref-type="bibr" rid="ref13">(Nguyen et al., 2016)</xref>
        explores
visualizing and comparing multiple timelines by using set
relations among the individual events. In this approach
events are associated with certain topics and this
information is encoded by the use of colors. Gradient backgrounds
that transition from one color to another are used to depict
events that are shared between two topics. In the scope
of our subject the focus lies in exploring and visualizing
the temporal facet of our data. In “Timelines Revisited”
        <xref ref-type="bibr" rid="ref4">(Brehmer et al., 2017)</xref>
        , the authors review related work
and literature, analyzing over 200 timeline visualizations,
and propose a design framework based on three main
dimensions: representation, scale, and layout. This work
represents the state-of-the-art in timeline visualization
and the design framework can be applied to biographical
and prosopographical data visualization. Representation
relates to the general shape or disposition of an individual
timeline, such as linear, radial, grid, or spiral. The scale
deals with the disposition of information over the timeline,
and can be chronological, relative, logarithmic, among
others. Finally, the layout is the composition schema of the
visualization, how different timelines are integrated in it.
The second category, the spatio-urban dimension,
was in similar projects mainly limited to the geolocation
of streets and places. Street-names were analysed in
two recent interdisciplinary projects combining historical
research (historical, cultural and political dynamics of
street-naming) with VA. In the first project a commission
of historians
        <xref ref-type="bibr" rid="ref2">(Autengruber et al., 2014)</xref>
        (2011-2013)
examined, due to their connection to national socialism,
historically critical personas that had streets named after
them in the City of Vienna. The project resulted in the
geolocation of these streets in an online map 1 , in a
publication as well as in explanatory boards next to the street
names. The second project, GenderATlas
        <xref ref-type="bibr" rid="ref15">(Riegler et al.,
2015)</xref>
        (2013-2015) is a platform for the visualization 2 and
provision of information regarding the gender distribution
in various fields in Austria. In a specific example, the
authors examine the spatial distribution of streets named
1https://www.geschichtewiki.wien.gv.at
2https://www.genderatlas.at/articles/strassennamen.html
after males and females in the City of Vienna. Through the
use of geographic visualization and analysis techniques the
gender disparities in street naming are made obvious to the
user.
      </p>
      <p>3</p>
    </sec>
    <sec id="sec-3">
      <title>Data</title>
      <p>In this section we describe the data model that we employ in
our research and visualization, give an overview of the
objects we have along with examples illustrating their
structure and connectivity, provide details on how we process
the data to arrive to the final dataset that is used, and
explain what sources were used to collect and structure the
data.</p>
      <p>Events or festivities play a central ontological role in our
project. They comprise our main data object and relate all
other objects. For this reason it is the only object type
that can be connected to objects of other different types.
Other entities have to be related to each other through an
event. This approach simplifies the topology of our
semantic network, and enforces scope. Events are considered to
be public happenings in the City of Vienna, such as:
festivals, celebrations, awards, and open-air concerts. Events
are defined by a start and end date, a name, a description, a
location, and connected to people that have contributed to
it, other events, historic events, themes and sources.
Historic Events are events of historical importance that are
not directly related to music, but provide context, such as
the end of World War II or the period of the Second
Republic. Historic events are defined by a start and end date,
a description, a list of references, relations to other historic
events and a list of important dates that have occurred
during the timespan of the historic event as well as a list of
references and further literature.</p>
      <p>Themes serve as descriptors for events and characterize
them based on the topics they are associated with, such
as “Musikalisierung der Topographie”, “Wienerlied”, or
“Austropop”. They have a similar function to keywords and
provide meta-information to augment our semantic
topology. Themes are associated with a name, a list of
references, a set of categories (theme types), and relationships
to other themes.</p>
      <p>Sources are the different primary and secondary sources
that are gathered about an event. They are an
encapsulation of multimedia data, including visual sources
(photographs, posters, videos), audio sources (recordings,
musical pieces), and textual sources (press articles,
publications). Sources are comprised of a name, a list of
references, along with media attachments, provenance data and
copyright information, a description, and details about the
creator(s), contributor(s), or publisher(s) along with
relationships to other sources.</p>
      <p>Locations describe particular places in the City of Vienna
that are of musicological and historical relevance.
Locations are defined by their current name along with a list
of alternative names (reflecting the change over the course
of history), location types (e.g., park, monument, official
building, etc.), a list of references, geospatial data, and
relationships to other locations.</p>
      <p>People/Organizations constitute the set of people that have
had a particular impact on the music history of the City of
Vienna. We differentiate between people and organizations
but use an abstract model for both types. People and
organizations are comprised of the following properties: a
name along with a list of alternative names, a list of
references, a description, and relationships to other people or
organizations. The main difference between the two is that
people have roles and functions (e.g., composer,
conductor, director, musician, etc.) associated with them, whereas
organizations have a set of organization types (e.g., NGO,
political party, cultural organisation, music band, etc.).</p>
      <sec id="sec-3-1">
        <title>3.2 Data Processing</title>
        <p>In the scope of this paper we chose to work with a subset
of data, specifically focused on musicians exiled between
1938 and 1945 in order to find out which musicians the
City of Vienna chose to recognize and commemorate after
World War II. In addition we compare the timelines of
the exiled musicians with over 200 musicians who were
honored in the same time period by the City of Vienna.
As a first step our selection criteria was to find all people
related to the theme “Musikalisierung der Topographie”
(translated from German: musicalization of the
topography). In our data model people are not directly related to
the aforementioned themes, but via the event that honors
a musician an association is established. For this purpose
we aggregate all people that are related to events belonging
to the aforementioned theme, which initially resulted in
many people that were not of relevance to our subject of
research (e.g., curators of an exhibition, vocalists singing
at an exhibition opening, politicians participating in an
award ceremony). As a second step we proceeded to filter
people based on their roles, since we are only interested
in composers, musicians, and conductors. Finally, we
separate those musicians, composers, and conductors that
have been exiled, in order to compare them later with the
rest of the people in the dataset.</p>
        <p>We further processed the dataset and applied a
categorization of the events. The events can belong to
one of the following five categories: street-namings,
anniversaries, exhibitions, awards/prizes, and memorials.</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.3 Historical Sources</title>
        <p>The historical sources used for this paper were either
related to the biographies of the musicians or to the
events. Regarding the biographies of the musicians, the
quantitative collection of names and biographical data was
based on existing databases (Lexikon verfolgter Musiker
und Musikerinnen der NS-Zeit, University of Hamburg),
secondary literature (mainly the publications of the
Documentation Centre of Austrian Resistance, DÖW), and
online bibliographical lexica (Wikipedia, Wien Geschichte
Wiki, Österreichisches Musiklexikon). We are aware that
such sources often provide little more than a snapshot of a
person’s life. Therefore, we refer to further relevant
bibliography containing secondary sources, (auto-)biographies,
or published correspondence.</p>
        <p>
          Regarding the events, each type has different sources
of information that were used. Street-names and awards
were announced in the official gazette (Amtsblatt der
Stadt Wien) as well as in Wien Geschichte Wiki. Street
(re)namings during 1938-1945 and after 1945 were
published and visualized in a map by the aforementioned
commission of historians
          <xref ref-type="bibr" rid="ref2">(Autengruber et al., 2014)</xref>
          .
Monuments and plaques regarding musicians are listed in
several publications
          <xref ref-type="bibr" rid="ref11 ref9">(Nelson, 2006; Kretschmer, 1992)</xref>
          as
well as in a more critical approach by the
          <xref ref-type="bibr" rid="ref6">(Exenberger
and des österreichischen Widerstandes, 1998)</xref>
          . The main
source of information for exhibitions were catalogues,
press articles, and posters. Speeches by politicians at the
inauguration festivities were also taken into consideration
as well as photographs picturing these events. In IMMV
sources gathered about the events were collected, selected,
and developed with the help of our cooperation partners
and archives (specifically, the Vienna City Library and the
Austrian National Library).
        </p>
        <p>4</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Research use case: Exiled Musicians</title>
      <p>
        We used the prototype to explore the narrative of musicians
and exiles after 1945 and to examine its effectiveness in
conveying patterns and trends to our domain experts.
After the annexation of Austria into Nazi Germany
on 12 March 1938 approximately 130,000 people fled
into exile
        <xref ref-type="bibr" rid="ref12">(Neugebauer and Ganglmair, 2003)</xref>
        . Among
them were expelled musicians, Jewish and non-Jewish,
composers of “degenerate music”, but also composers of
“Wienerlieder” or “Operettas”, including icons as Arnold
Schönberg, Alexander von Zemlinsky, Ralph Benatzky,
Ernst Krenek, Robert Stolz, Hermann Leopoldi, Walter
Jurmann, and many more. Most of the musicians left
Austria after March 1938 and went to the United States,
South America, France, Great Britain, or Switzerland.
Until 1959 only approximately 8,000 returned. Those
who decided not to come back to Austria had manifold
reasons: the injustice and humiliation they suffered in
their homeland, the general situation in post-war Austria
with its half-hearted denazification, the anti-semitism
still practiced, the unresolved property issues
        <xref ref-type="bibr" rid="ref8">(Knight,
2000)</xref>
        , but also personal reasons as the integration in a new
country. It is important to note that there have been no
official invitations expressed from the Austrian provisional
government for the exiled to return. An exception was the
Viennese city councilor in charge of cultural affairs from
1945 to 1949, Viktor Matejka, who sent letters appealing
artists and scientists to return
        <xref ref-type="bibr" rid="ref10">(Matejka, 1983)</xref>
        .
      </p>
      <p>The gap in the cultural life and institutions of Vienna
(orchestras, music academies, universities, etc.) left by the
exiled musicians, composers, and conductors could never
be filled again, it is thus essential for the understanding of
the Music City Vienna after 1945. But how to visualize this
“brain drain” or gap of musicians, who did not return to
Vienna after 1945? With the existing IMMV restriction on
events, we were unable to make those visible, who were not
present. Both the departure and the re-migration, were very
personal for the exiled musician, seldom recognized by
the public and not officially celebrated. As a consequence,
we decided to treat street-namings, awards, anniversaries,
and exhibitions as particular events. This allowed us to
integrate the exiled musicians that were referenced by such
events (even if they were not initially present), into our
database and visualization.</p>
      <p>
        Street-naming is a particularly powerful and
“timeless” instrument for perpetuating public memory. The
monopoly on the toponyms of a city is claimed by the
governing authorities. Therefore, street-naming is connected
to the ruling regime, which is using streets to inscribe its
ideologies and to assert symbolic power and ideological
hegemony
        <xref ref-type="bibr" rid="ref16">(Rose-Redwood et al., 2018)</xref>
        . Especially,
the renamings during the Dollfuß-Schuschnigg-regime
(Austrofascism, 1934-1938) and during National Socialism
(1938-1945) are pivotal for the understanding of the
symbolic relevance of toponymy
        <xref ref-type="bibr" rid="ref2">(Autengruber et al.,
2014)</xref>
        . Since 1945 the selection criteria of the Viennese
city council (Stadtrat) requires important personalities,
whose “greatness” is generally recognized in association
with the location and importance of the named street and
the naming has to be at least one year after the person’s
death (Interkalarfrist).
      </p>
      <p>Awards are an official act of how the city and its mayor
are honoring a person for her/his outstanding achievements.
The most important and prestigious awards for musicians
in Vienna were: awards, rings and medals (Ehrenring,
Ehrenmedaille, Ehrenzeichen), the prize of the City of
Vienna (Preis der Stadt Wien), and the honorary citizenship
(Ehrenbürger and Bürger der Stadt Wien).</p>
      <p>Anniversaries or commemoration days, especially after
one or two centenaries of the musicians birth or death, were
celebrated in Vienna from the 1920s until today. After 1945
the years of Johann Strauß Jr. (1975), Wolfgang Amadeus
Mozart (1991, 2006), Joseph Haydn (2009), and Gustav
Mahler (2010) were celebrated with extensive effort,
including exhibitions, concerts, and conferences.</p>
      <p>Exhibitions are a form of presenting a musician or a group
of musicians to the public by using visual sources,
handwritten notes, or other objects connected to the exhibitions’
topic. Most of the music related exhibitions took place
either in several Viennese museums, libraries and archives or
in the apartments and houses of Beethoven, Strauß, Mozart,
Haydn, and Schubert administered by the Wien Museum.
We gathered 110 exhibitions directly connected to Viennese
musicians. The exhibitions Die Vertreibung des Geistigen
aus Österreich(1982) at the University of Applied Arts and
the series Musik des Aufbruchs (2004-2009) by the Jewish
Museum directly refer to the topic of exiled musicians. The
series Musik des Aufbruchs presented the life and work of
Hans Gál, Egon Wellez, Franz Schrecker, Eric Zeiss, Erich
Wolfgang and Julius Korngold and Hanns Eisler to the
Viennese public.</p>
      <sec id="sec-4-1">
        <title>4.1 The Anatomy of Our Visualization</title>
        <p>Our visualization consists of different elements, as depicted
in Figure 2. On the left side (A), a short menu allows
filtering, searching for a specific person, and changing the
ordering and grouping criteria of the data. On the right side
(B), the list of all people can be seen, with the count of their
associated events. This list is updated when a temporal
selection is made and reflects only those people who have
been active in the time span selected. It can also be used to
show additional information about the selected individual,
such as dates of birth, death, exile, and events. The core
component, however, is the radial timeline (C) where the
multiple timelines and associated events are displayed. The
prototype also includes a timeline at the bottom (G), which
visualizes the events as a dotplot that are color-coded
according to their category and allows the user(s) to
select and interact with individual items. We multiple
design iterations with different component configurations,
including a line-chart, and came to the realization that for
the tasks of displaying, counting, and interacting with the
individual events in the timeline the dotplot performed
better as a solution. The prototype is made available to the
general public and research communities 3
In the visualization time radiates outwards from the
center, with the innermost circle being the birth of Vivaldi
at 1678, and the outermost being the present date. The
date of 1945 is highlighted (E) due to its importance in the
scope of our subject, providing a key temporal reference
for the visualization. A time period is mapped to a ring
in this mode of viewing, and can be selected through
clicking and dragging for filtering a specific time range. In
3https://immv-app.cvast.tuwien.ac.at/biographical</p>
        <p>Every line radiating from the circle is the timeline of
a person, with their life span highlighted in green with
circles indicating birth and death. People who have been
exiled also feature an extra dark green timeline that is
superimposed over their life lines. This extra timeline
indicates the time of exile, from the point of their departure
from Austria to their return. It is important to note that
estimating the exact duration of exile is difficult, as
we seldom know the exact date, when the border was
crossed. Most exiled people left Austria after the 12th of
March 1938, some even during the authoritarian regime
of Dollfuß-Schuschnigg. But when did the exile end?
Was it on the 27th of April 1945, when the provisional
government announced that the exiled were legally allowed
to leave the host country (e.g., in the U. S. after spring
1946)? What if the exiled did return just for a short period
of time? Such is the case of Erich Wolfgang Korngold,
who came back in 1949 for two years and left again
disappointed. In order to make the musicians decision not
to return visible, we decided to visualize as ’exile’ the
period from crossing the Austrian border until the person’s
return. If a musician died without returning to Austria this
period after 1945 was also marked as exile leading up to
their death.</p>
        <p>The focus of the visualization itself isn’t on the
achievements of a person within their lifespan, but rather on their
superimposition with posthumous events‘ that happened
in the City of Vienna. For this purpose we chose to
classify the events based on the following categories:
street-namings, memorials, awards/prizes, anniversaries,
and exhibitions. Due to the importance of these events
we chose to highlight them with a different colors as to
contrast them to the person’s life and draw attention to
the patterns that they create when using certain ordering
strategies, such as the date of homage (see Figure 4 C, D,
E).</p>
        <p>On the outer rim of the circle we encode the
categorical information about each person (see Figure 2 F). In
this specific use case we encode the profession (role) of
the person. The prototype also allows the users to choose
a different categorization and grouping of the dataset,
including exiled musicians, those that were born after
1945, and those that died before 1938 as these two dates
play an important role in our subject of research, with
1938 marking the starting point of exile and 1945 denoting
the end of World War II. This element can be used to
detect patterns in any sort of categorical attribute of the
selected musicians, according to the grouping criteria
used. Our color encoding reflects our efforts in balancing
the comparison between timelines, events, and displaying
categories.</p>
        <p>At the bottom (see Figure 2 D) we have augmented
the prototype with a timeline that contains only the events
that are belonging to one of the five categories described in
Section 3. The advantage of this timeline is that it easily
shows temporal trends, such as in which decade the most
street-namings or exhibitions happened. Furthermore, the
timeline displays each event as a circle that is color-coded
depending on its category as to remain consistent with the
rest of the visualization. The circles allow the user to
interact with individual events as well as count events belonging
to the same category in a given time interval in a more
straight-forward fashion compared to other visualization
techniques. Both the radial and timeline visualizations are
linked, meaning that mouseovering an event in the timeline
will highlight the corresponding person’s lifeline and event
in the radial part of the visualization and vice versa.
During our discussions with the domain experts
(historians and musicologists) we realized the need for analytic
tools to interact with the data in detail. To support them
we have added filtering features such as visualizing only
exiled musicians (see Figure 3), and the selection of time
rings, which also provide a list of the people that have been
active during this period sorted by the amount of events
they are related to. Furthermore, upon selecting any person
the visualization reorients itself and highlights the selected
person displaying her/his details in a side panel. This
allows the users to also explore a person’s information and
links to external resources, as well as, the details about the
events of her/his homage by the City of Vienna.
The visualization is developed to provide the domain
experts with a tool to interact with the data in detail but
also gain an overview and realize patterns or trends in
how the City of Vienna recognized and commemorated
it’s musicians. The intent of the visualization is to also
provide casual users that are not acquainted with the
musical, political, and cultural history of Vienna with a
tool to explore and investigate. The goal is to provide both
the domain experts and casual users with an interactive
exploration environment to unravel the narrative of the
Music City of Vienna.</p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2 Comparing Timelines</title>
        <p>
          Considering all possible combinations of representation
proposed in “Timelines Revisited”
          <xref ref-type="bibr" rid="ref4">(Brehmer et al., 2017)</xref>
          ,
including scale, and layout, there are 5 ⇥ 5 ⇥ 4 = 100
different design possibilities. The proper design choice
depends on the data, tasks, and users of the visualization.
Our work, however, cannot properly characterized in this
framework. Our main goal is to highlight events and
patterns occurring after the deaths of the selected people,
while simultaneously allowing the user to see trends within
their lives as within their posthumous commemoration.
Furthermore, most of the proposed approaches do come
with significant drawbacks when considering the number
of timelines that they can simultaneously represent. This
is also the design rationale for our radial layout, because
of the amount of people that we are visualizing the radial
layout generally has a better aspect ratio, area efficiency
when drawing, and allows for more timelines to be encoded
and visualized compared to other layouts.
        </p>
        <p>One of the questions that this visualization was
designed to answer is: which musicians came back after the
exiled were officially allowed to return to Vienna? For
this reason we decided to represent time differently than
the aforementioned approaches. As we are interested in
having a visualization where it is more obvious to notice
certain trends and patterns occurring at different decades
throughout Vienna’s history (with a special focus on the
years after 1945).</p>
        <p>Figure 4 show three different ways to order the
timelines of people, and how they affect the visual subject. In
each case, different trends stand out. In Figure 4A the
biographical timelines are ordered by the birth date of the
person and grouped by their role (composer, conductor,
musician), which is the first event on its timeline, marked
as a green circle. A clear spiral forms growing outward,
which is complementary to that of Figure 4B, where
timelines are ordered by death date and grouped by role.
In this case, the spiral signifies a ceiling, the limit of one’s
life. It is much easier to identify musicians that are alive
in the second case, as all timelines with no death date will
form a contiguous arc.</p>
        <p>It is important to note that the data and individual
timelines remain the same in all cases. By simply
reordering and grouping them according to different criteria
it is possible to obtain unique patterns that can tell us
something about the underlying behavior of the data. This
is used in Figures 4C, D, and E to explore the subject of
when musicians are recognized and commemorated by the
City of Vienna. Each person is ordered according to the
date of homage given by the city, resulting in a spiral, that
can be clearly seen, formed by the events in a contrasting
color.</p>
        <p>5</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>Discussion and Future Work</title>
      <p>
        By exploring the data using the proposed overview
visualizations certain interests and questions arise, leading to the
main question of how the City of Vienna chose to
remember it’s musicians by embedding them in the city’s
topography and collective memory
        <xref ref-type="bibr" rid="ref5">(Erll, 2005)</xref>
        . We explored how
we can visualize this information and generate patterns that
might provide answers to the following questions related to
chronology, the person’s biography and the type of event:
Is there a caesura in the visualization, which can be help
us recognize patterns in the interconnection between events
remembering exiled musicians and political caesuras (e. g.,
the announcement of the provisional government in 1945,
the end of Allied-occupation in 1955, the fall of the Berlin
Wall in 1991), political and cultural turning points (e. g.,
the causa Waldheim in the late 1980s or changes of
government)? Is there any pattern or trend of the honored
person identifiable relating to her/his popularity during
lifetime and after death, any link to a political party or
cultural institution, or the music style the person is associated
with? Was there any difference in chronology and quantity
of events between those musicians, who returned from
exile and those who remained in the host countries? Which
category of honoring events were preferred by the City of
Vienna and have there been any changes during the time
span analyzed? These questions opened up some
interesting points and directions for future work that we would like
to explore, including:
• Exploring the encoding of information in the outer
ring, which provides an additional dimension for the
emergence of patterns;
• Visualizing group similarities through clustering, in
addition to ordering strategies;
• Inferring categorical dimensions such as political
orientation using information from organization
affiliation, and involvement in particular events;
• Geographically mapping and visualizing the spatial
facet of the events and implementing metrics that
would take this information into account.
      </p>
      <p>Furthermore, our database is also in a continuous process
of expansion and refinement. As new sources come to
light, they are added to the database and are automatically
included in the visualization. This entails a cyclic process
of research, where both new information and new means to
visualize it brings us closer to developing our questions in
a nonlinear fashion.</p>
      <p>In the future of IMMV the presented visualization
will be connected with a map of the City of Vienna.
Thereby the spatial dimension of the data, the distribution
of streets and events between the center and periphery
of the city can be made immediately visible to the user.
Zooming in place and time will enable the user to analyze
a certain time period or location more detailed than the
rest. The users have the possibility to create their own story
depending on their research question. The possibility of
comparing people by selecting multiple timelines and
highlighting differences or commonalities is another direction
for future work. Research questions regarding differences
in periods of government could be answered by inspecting
and comparing multiple timelines, and exploring different
ways of encoding event data (moving from color coding to
glyphs or shapes representing the category of the events).
6</p>
    </sec>
    <sec id="sec-6">
      <title>Conclusion</title>
      <p>We introduce a radial visualization supporting our domain
experts in investigating the biographical data of musicians
exiled from the Vienna along means to find out how and
when they were honored or commemorated by the City
of Vienna in terms of street-naming, exhibitions, awards,
and anniversaries. In the interdisciplinary collaboration
of the IMMV-team the visualization helped to validate
and verify the correctness of the data in the database.
Those exiled musicians, who neither received an award,
nor had a street named after them fall through the cracks.
Furthermore, the importance of a musician or the quality
of their music cannot be implied from the fact that the
City of Vienna chose to honor them or not. Other
elements such as the concerts that happened in the Vienna
Opera, the Musikverein or the Konzerthaus, as well as
record sales figures or their popularity, were not part
of our research. Furthermore, the research case exiled
musicians, enabled us to concentrate on a small
selection of persons, to see patterns, prove our hypotheses, and
open new research questions and directions for future work.
Focusing on temporally anchored events, will allow
us to extract salient events or periods of time which can
be further used to identify other elements in a person’s
timeline. Further academic research also has to find traces
of musicians in Vienna before 1938 in order to recognize
continuities or discontinuities before and after the periods
of exile.</p>
      <p>A central statement of this project is the relativity of
history and the plural forms of understanding and
interpreting historical facts. We show in this paper how VA
approaches can support experts in the domain of
historical and musicological research to gain a chronological
overview and to combine music with political history and
the City of Vienna with its musicians. Historical research
helped to define the events, people and to collect the
information that was needed to perform research on the subject.
The lack of potential interactions had to be tracked in
advance as spatial and temporal data extracted from texts can
be ambiguous or uncertain. By using visualization as a tool
for data presentation we can recognize potential patterns,
overlaps, and trends and offer new methods of research.
Furthermore, the interactive elements of the visualization
help the user to open additional information and sources
about the selected event and person or about neighbouring
events and people. This offers on the one hand a selective,
subjective reading and interpretation, which can be on the
other hand combined with combinatorial and interactive
reading, offering new ways for interpreting historical
data. The multimediality and complexity of historical data
with various sources and media connected to events and
biographies can be diversified and concretized via VA.
This opens up new elements of narration, substituting the
existing methods by a new and unique visual narrative.
By remembering the exiled musicians via several
commemorative events, the City of Vienna in a way
re-emigrated those who left Vienna after March 1938.
Today they are again a part of the city’s memory. Of
course ambiguities and ambivalences of each fortune and
the complexity of each biography cannot be simplified
via visualization. Their collective displacement thus
bequeathed a gap, which we tried to fill at least visually.</p>
      <sec id="sec-6-1">
        <title>Acknowledgements</title>
        <p>This work was conducted within the framework of the
project "Interactive Music Mapping Vienna" (AR384-G24)
funded by the Austrian Science Fund (FWF) and lead by
Susana Zapke (Music and Art, University of the City of
Vienna). We also thank our cooperation partner Vienna City
Library for providing us important sources.</p>
        <p>7</p>
      </sec>
    </sec>
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