General Information:

Conference Objective

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Recent trends also indicate the usage of complex network as a key feature for next generation usage and exploitation of the Web. This international conference on “Computational Aspect of Networks” is focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks. This conference provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization.

We solicit original research and technical papers not published elsewhere. The papers can be theoretical, practical and application oriented on the following themes (but not limited to):

* Network evolution
o Network evolution and growth mechanisms.
o Online communities and computer networks.
o Information diffusion in social networks.
o Detection of communities by document analysis.
o Topology of real networks.
* Recommendation
o Information diffusion in social networks.
o Recommendations for product purchase, information acquisition and establishment of social relations.
o Impact of recommendation models on the evolution of the social network.
o Classification models and their application in social recommender systems.
* Advertisement models
o Economical impact of social network discovery.
o Social advertising.
o Use of social networks for marketing.
* Search in network
o Web page ranking informed by social media.
o Search algorithms on social networks.
o Collaborative Filtering.
* Security
o Anomaly detection in social network evolution.
o Data protection inside communities.
o Crime data mining and network analysis.
o Modeling trust and reputation in social networks.
o Misbehavior detection in communities.
* Network geography
o Geographical clusters, networks, and innovation.
o Social geography.
o International Collaborations in e-Social network.
* Web
o Automatic discovery and analysis of Web based social networks.
o Link Topology and Site Hierarchy.
o Web mining algorithms.
o Web communities.
o Web-Based Cooperative Work.
* Evaluation
o Test collection.
o Benchmark creation.
o Measures and methodologies.



Paper submission

Submissions must be in an electronic form as PDF files and should be uploaded using the conference website (will be ready soon). Full paper submissions should be in ACM format with a limit of 8 pages. Papers that fail to comply with length limit will be rejected. Submissions will be peer-reviewed by at least 3 independent reviewers of the PC. Selection criteria will include: relevance, significance, impact, originality, technical soundness, and quality of presentation. Preference will be given to submissions that take strong or challenging positions on important emergent topics. At least one author should attend the conference to present the paper. The conference proceedings will be indexed by ACM Digital Libraries and published with an ISBN.


Important Dates

Conference paper submission: March 30, 2009

Notification of paper acceptance: April 27, 2009

Camera-ready of accepted papers: May 18, 2009

Registration: May 18, 2009

Conference: June 24-27, 2009