CASoN 2014 - The International Conference on Computational Aspects of Social Networks (CASoN 2014)

The International Conference on Computational Aspects of Social Networks (CASoN 2014) brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Networks, and to discuss the practical challenges encountered and the solutions adopted.
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, and cover a broad set of intelligent methods, with particular emphasis on Social Network computing.
Computational methods such as (but not restricted to):
Neural Networks and Connectionist Models
Evolutionary Algorithms
Fuzzy Logic
Knowledge Management
Multi-valued Logic
Semantic Networks
Rough Sets
Intelligent Agents
Ontologies
Reinforcement Learning
Applications on Social Networks:
Network evolution
Network evolution and growth mechanisms.
Online communities and computer networks.
Information diffusion in social networks.
Detection of communities by document analysis.
Topology of real networks.
Recommendation
Information diffusion in social networks.
Recommendations for product purchase, information acquisition and establishment of social relations.
Impact of recommendation models on the evolution of the social network.
Classification models and their application in social recommender systems.
Advertisement models
Economical impact of social network discovery.
Social advertising.
Use of social networks for marketing.
Search in network
Web page ranking informed by social media.
Search algorithms on social networks.
Collaborative Filtering.
Security
Anomaly detection in social network evolution.
Data protection inside communities.
Crime data mining and network analysis.
Modeling trust and reputation in social networks.
Misbehavior detection in communities.
Network geography
Geographical clusters, networks, and innovation.
Social geography.
International Collaborations in e-Social network.
Web
Automatic discovery and analysis of Web based social networks.
Link Topology and Site Hierarchy.
Web mining algorithms.
Web communities.
Web-Based Cooperative Work.
Evaluation
Test collection.
Benchmark creation.
Measures and methodologies.
Paper submission
Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports.
Papers must be submitted within the stipulated time and electronic submission in PDF is required. The page limit for a full-length paper is 6 pages. Short papers describing novel research visions, work-in-progress or less mature results are also welcome, with a minimum limit of 4 pages.
Note: Papers less than 4 pages will not be reviewed and may be rejected outright!
All submissions should be in the IEEE 8.5 two-column format. Papers should contain up to 5 keywords. Papers will be evaluated for originality, significance, clarity, and soundness, and will be reviewed by at least three independent reviewers.