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It is our pleasure to invite you to submit your recent work to the
International Workshop on Complex Social Network Analysis (CSNA 2012)
that is held
as a part of the International Conference on Advances in Social
Networks Analysis and Mining (ASONAM 2012), 26-29 August, 2012, Kadir
Has University, Istanbul, Turkey.

Workshop Web Site: http://www.zsi.pwr.wroc.pl/CSNA2012
Submission Site: https://www.easychair.org/account/signin.cgi?conf=csna2012
*New* submission Deadline: May 7, 2012.
Proceedings published by IEEE.

One of the reasons behind the tremendous success of Social Network
Analysis (SNA) methods in various research disciplines is a very
general and simple graph model that enables representation and study
of extremely heterogeneous scenarios, ranging from workplace dynamics
to the spreading of diseases or hyper-text documents in the World Wide
Web. All these examples can be in fact modeled as homogeneous sets of
nodes connected pairwise by some kind of edges. Commonly, each two
nodes (social entities) are linked by a single edge (connection, link,
bind, arc, tie), which, in turn, can be either undirected or directed,
weighted or unweighted.

While this generality still constitutes a great value, recently, it
has become apparent that to model specific contexts and to enable
accurate analyses it may be important to enrich the simple network
models with more complex modeling constructs. A typical example is a
multi-layer (called also multi-layered, multi-modal or
multidimensional) network, where nodes are connected to each other
through different kinds of links and each such a kind corresponds to a
single layer. Each layer can refer either to a different type of
relationship (sociological approach: friendship / family ties /
collaboration at work) or to a different type of user common
activities (computer science approach: email exchange / commenting the
same photo / usage of the same tags). Besides, in many domains and
environments, we can extract more than one type of nodes - it means
that a social network may be heterogeneous (multi-modal) rather than
homogeneous. For example, we can have teacher-nodes (one type-mode)
mixed with student-nodes (another type-mode) or we can distinguish
different user accounts registered in a number of services, e.g.
various online games. Both multi-layer(ed) and heterogeneous
(multi-modal) networks can be generalized to simple networks extended
with labels (types, classes, modes, layers, levels) assigned either to
edges or nodes. This concept also covers spatial networks where nodes
and edges are annotated (labeled) with their location. Temporal
(dynamic) social networks expand this model by introduction of
timestamps assigned to nodes or edges; its disparate feature is the
fixed order among following snapshots.

Looking at current mainstream online social networks, we can easily
see the relevance of these models: notable examples are Google+
circles, defining different kinds of social ties, users having
multiple accounts in different web 2.0 services like Facebook, YouTube
and Flickr, as well as Twitter conversations where messages are
exchanged at precise timestamps and sometimes from the known
locations. We refer to these enriched networks as complex social
networks.

The objective of this workshop is to provide a venue to discuss the
latest advances on complex social network analysis, mining and
applications. Contributions coming from several fields, including
computer science and social sciences, are welcome. The scope of the
workshop includes (but is not limited to) the following topics:

Data models for complex social networks
Multi-layer(ed) networks
Multi-modal social networks
Multidimensional social networks
Spatial networks
Temporal analysis on social networks
Dynamics modeling and measures for social networks
Homogeneous social networks
Statistical modeling of complex social networks
Patterns in complex social networks
Complex social network mining
Cross-sectional analysis in social networks
Measures for complex social networks and algorithms for their calculation
Dynamics and evolution patterns of complex social networks
Algorithms for large-scale complex social networks
Merging social networks
User identification / unification in multiple-system social networks
Applications of complex social network analysis
Community discovery in complex social networks (multi-layered /
multi-modal / heterogeneous communities)
Visual representation of complex networks and complex online social phenomena
Data protection in location-based networks
Methodological problems in complex social network studies
Data mining in social networking sites
Social Networks with Uncertainty

*New* important dates:
May 7, 2012 - Full paper submission deadline
June 7, 2012 - Notification of acceptance
June 15, 2012 - Camera-ready paper due and presenting author registration due
August 26-29, 2012 - Conference, the workshop is scheduled on the
first day of the ASONAM conference (August 26, 2012)

Przemyslaw Kazienko (Wroclaw University of Technology, Poland)
Matteo Magnani (Aarhus University, Denmark)
Luca Rossi (University of Urbino "Carlo Bo", Italy)

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Luca Rossi
LaRiCA - Advanced Communication Laboratory
Faculty of Sociology - "Carlo Bo" University, Urbino
[log in to unmask]
T. +39 0722 305726 F. +39 0722 305727
http://larica.uniurb.it/redline

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