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CSNA 2012 : International Workshop on Complex Social Network Analysis


When Aug 26, 2012 - Aug 29, 2012
Where Kadir Has University, Istanbul, Turkey
Submission Deadline May 13, 2012
Notification Due Jun 4, 2012
Final Version Due Jun 10, 2012
Categories    social networks   networks   networking   data mining

Call For Papers

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


• May 13, 2012 – Full paper submission deadline
• June 04, 2012 - Notification of acceptance
• June 10, 2012 - Camera-ready paper due
• June 10, 2012 - Presenting author registration due (
• August 26-29, 2012 - Conference


Papers reporting original and unpublished research results pertaining to the above topics are solicited.
Full paper submission deadline is March 15, 2012. These papers will follow an academic review process. Manuscripts must be in English with a length of 4 pages (for short papers) or 6-8 pages (for full papers) using the IEEE two-column template.
Submissions should include the title, author(s), affiliation(s), e-mail address(es), tel/fax numbers, abstract, and postal address(es) on the first page.

Research paper authors should submit papers to the EasyChair


The Best Paper Award will be given for the paper judged to make the most significant contribution to CSNA 2012. The judges may make their assessment based on the papers contained in the proceedings, not on the oral or poster presentation of the papers. However, for a paper to gain this award one of the authors must have attended the conference and presented the paper.


- Przemysław Kazienko, Wrocław University of Technology (PL),
- Matteo Magnani, Aarhus University (DK),
- Luca Rossi, University of Urbino "Carlo Bo" (IT),


- Matteo Magnani, Aarhus University, DK
- Luca Rossi, University of Urbino "Carlo Bo", IT
- Piotr Bródka, Wrocław University of Technology, PL

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