Journal of Defense Resources Management (JDRM) (ISSN: 1869-5450)

Description

Social Network Analysis and Mining (SNAM) is intended to be a multidisciplinary journal to serve both academia and industry as a main venue for a wide range of researchers and readers from social sciences, mathematical sciences, medical and biological sciences and computer science. We solicit experimental and theoretical work on social network analysis and mining using different techniques from sociology, social sciences, mathematics, statistics and computer science. The main areas covered by SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (like search) and social activities (like discovery of potential friends), the analysis of user behavior in open forums (like conventional sites, blogs and forums) and in commercial platforms (like e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable, customizable social network infrastructure, identification and discovery of dynamics, growth, and evolution patterns using machine learning approaches or multi-agent based simulation. Papers should elaborate on data mining or related methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data).

Topics include but are not limited to:

Web community
Personalization for search and for social interaction
Recommendations for product purchase
information acquisition and establishment of social relations
Recommendation networks
Data protection inside communities
Misbehaviour detection in communities
Preparing data for web mining
Pattern presentation for end-users and experts
Evolution of communities in the Web
Community discovery in large-scale social networks
Dynamics and evolution patterns of social networks, trend prediction
Contextual social network analysis
Temporal analysis on social networks topologies
Search algorithms on social networks
Multi-agent based social network modeling and analysis
Large-scale graph algorithms
Applications of social network analysis
Anomaly detection in social network evolution
Related subjects ? Applications - Complexity - Database Management & Information Retrieval - Ecology - Game Theory / Mathematical Methods - Social Sciences

ABSTRACTED/INDEXED IN:
Cabell's, Google Scholar, OCLC, Summon by Serial Solutions