| |||||||||||
PAKDD-SocNet 2014 : International Workshop on Data Mining in Social Networks | |||||||||||
Link: http://www.cs.umanitoba.ca/~socnet14 | |||||||||||
| |||||||||||
Call For Papers | |||||||||||
Workshop Scope
Objectives of this PAKDD workshop are to provide an informal and vibrant opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging issues of data mining in social networks. As the workshop topics are focused and cohesive, participants can benefit from interaction with each other. Topics We solicit original and high quality submissions addressing all aspects of this field. The topics of interest include, but are not limited to the following: Adversarial blogging and counter measures Agent based social simulation and computational models Anomaly detection in social network evolution Application of data mining in social networks Blog search and retrieval Community detection, evolution, and analysis in large scale online/offline social networks Connection between biological similarities and social network formulation Context / location sensitive / intelligent content recommendation Contextual social network analysis and mining Correlation retrieval for social media Crime network analysis Crowd sourcing Cyber anthropology Data mining models for social networks and social media Data protection inside communities Economical impact of social network discovery Evolution of communities/patterns on the Web and in large organizations Group interaction, collaboration, and recommendation Impact of social networks on recommendations systems Information acquisition and establishment of social relations Influence, influence propagation, trust, and privacy in social networks Influence of cultural aspects on the formation of communities Interoperability among social applications and social media Knowledge discovery (collective wisdom, trend analysis, and topic detection) from social networks Large-scale graph algorithms for social network analysis Link analysis and network structure discovery Misbehavior detection in communities Migration between communities Multi-agent based social network mining Personalization for search and for social interaction Political impact of social network discovery Query languages, query processing and optimization for social network and social media mining Recommendations for product purchase, information acquisition and establishment of social relations Scalability of social networking/search algorithms Social media contents mining Techniques for social-network mining and for the analysis of social-media phenomena Uncertainty of social media mining Visual representation of dynamic social networks and their analysis |
|