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PAKDD-SocNet 2014 : International Workshop on Data Mining in Social Networks

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Link: http://www.cs.umanitoba.ca/~socnet14
 
When May 13, 2014 - May 16, 2014
Where Tainan, Taiwan
Submission Deadline Jan 6, 2014
Categories    data mining   social networks
 

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

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