Categories
April 2024 M T W T F S S 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Tags
- 2011
- 2012
- ACM
- Business Applications
- Cloud Computing
- Collaborative filtering
- Collaborative Innovation Networks
- Collective intelligence
- Communication Networks
- Communication Networks
- Communities
- Community Detection
- Conference
- CSCL
- CSCW
- Data Mining
- eLearning
- Groups
- HCI
- IEEE
- Journal
- Knowledge Management
- Linked Data
- Mobile Social
- Modeling
- Network
- p2p
- Political Networks
- Privacy
- Risk Security in Social Contexts
- Security
- Semantic Web
- SNA
- Social Behavior Modeling
- Social Computing
- Social Computing Theories
- Social Media
- Social Network Analysis
- Social Networks
- Social semantic web
- Social System Design and Architectures
- Trust
- Web 2.0
- Web Mining
- Workshop
-
Recent Posts
- Abstract
- Call for Papers: Special Session on Evolution of Social Networks (ESN 2012)Call for Papers: Special Session on Evolution of Social Networks (ESN 2012)
- Call For Papers: Fourth International Conference on Computational Aspects of Social Networks (CASoN 2012)
- Call For Papers: International Workshop on Complex Networks and their Applications (Complex Networks 2012)
- Call For Papers: SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2012)
Recent Comments
Archives
Tag Archives: Misbehavior detection in communities
Call For Papers: The 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
The study of social networks originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social … Continue reading →
Posted in Conferences
|
Tagged 2012, Adoption of new services on social network platforms, agent based computational models, Agent based social simulation, Anomaly detection in social network evolution, Application of social network analysis, Application of social network mining, Communities discovery and analysis in large scale offline social networks, Communities discovery and analysis in large scale online social networks, Conference, Connection between biological similarities and social network formulation, Contextual social network analysis, Contextual social network mining, Crime data mining and network analysis, Cyber anthropology, Dark Web, Data models for social networks and social media, Data protection inside communities, Detection of communities by document analysis, Dynamics and evolution patterns of social networks, Economical impact of social network discovery, Evolution of communities in organizations, Evolution of communities in the Web, Evolution of patterns in the Web, evolution of trust, Geography of social networks, Impact of social networks on recommendations systems, Incorporating social information in query processing and query optimization, Influence of cultural aspects on the formation of communities, Information acquisition and establishment of social relations, Knowledge networks, large networks, Large-scale graph algorithms for social network analysis, Migration between communities, Misbehavior detection in communities, Multi-Actor/Multiple-Relationship Networks, Multi-agent based social network modeling and analysis, Open Source Intelligence, Pattern presentation for end-users and experts, Personalization for search and for social interaction, Political impact of social network discovery, Preparing data for Web mining, Privacy, Recommendation networks, Recommendations for product purchase, Scalability of Search algorithms on social networks, Scalability of social networks, security and civil liberty issues, Social and cultural anthropology, Social geography, Social psychology of information diffusion, Spatial Networks, Statistical modeling, Temporal analysis on social networks topologies, Trust networks, Visual representation of dynamic social networks, Web communities, Web mining algorithms
|
Leave a comment