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活动简介

The 8th International Conference on Computational Aspects of Social Networks (CASoN) organized in India brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Network, and to discuss the practical challenges encountered and the solutions adopted. Industrial Workshop/Tutorials and conference sessions will allow individuals interested in the theory, methods, or applications of social network analysis to share ideas and explore common interests.

The conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Social Networks. The conference programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. Proceedings are expected to be published by: Advances in Intelligent and Soft Computing, which is now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink The General Chairs, along with the entire team cordially invite you to submit your latest research results and to take part in the upcoming conference, to be held during December 19-21, 2016 in VIT University, Vellore, India.

征稿信息

重要日期

2016-09-30
初稿截稿日期
2016-10-15
初稿录用日期

征稿范围

Neural Networks and Connectionist Models

  • Evolutionary Algorithms

  • Fuzzy Logic

  • Knowledge Management

  • Multi-valued Logic

  • Semantic Networks

  • Rough Sets

  • Intelligent Agents

  • Ontologies

  • Reinforcement Learning

  • Applications on Social Networks:

  • Network evolution

Network evolution and growth mechanisms. 

  • Online communities and computer networks. 

  • Information diffusion in social networks.

  • Detection of communities by document analysis.

  • Topology of real networks.

Recommendation

  • Information diffusion in social networks. 

  • Recommendations for product purchase, information acquisition and establishment of social relations.

  • Impact of recommendation models on the evolution of the social network. 

  • Classification models and their application in social recommender systems.

Advertisement models

  • Economical impact of social network discovery. 

  • Social advertising. 

  • Use of social networks for marketing.

Search in network

  • Web page ranking informed by social media. 

  • Search algorithms on social networks.

  • Collaborative Filtering.

Security

  • Anomaly detection in social network evolution.

  • Data protection inside communities. 

  • Crime data mining and network analysis.

  • Modeling trust and reputation in social networks.

  • Misbehavior detection in communities.

Network geography

  • Geographical clusters, networks, and innovation. 

  • Social geography. 

  • International Collaborations in e-Social network.

Web

  • Automatic discovery and analysis of Web based social networks.

  • Link Topology and Site Hierarchy. 

  • Web mining algorithms. 

  • Web communities.

  • Web-Based Cooperative Work.

Evaluation

  • Test collection. 

  • Benchmark creation. 

  • Measures and methodologies.

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重要日期
  • 会议日期

    12月19日

    2016

    12月21日

    2016

  • 09月30日 2016

    初稿截稿日期

  • 10月15日 2016

    初稿录用通知日期

  • 12月21日 2016

    注册截止日期

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