International Workshop on Data Mining in Social Networks

Event Dates

May 13, 2014 - May 16, 2014

Location

Tainan, Taiwan

Submission Deadline

Jan 06, 2014

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