International Conference on Communication Technology for Social Networks 2020


CTSN 2020 will be the most comprehensive conference focused on the various aspects of advances in Communication Technology for Social Networks. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Communication Technology for Social Networks.
The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects Communication Technology for Social Networks.
All papers accepted and registered will be included in STEM Proceedings and selected papers will be included in SCOPUS and EI journals.

Call for Papers

Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Communication Technology for Social Networks.

Topics of Conference

The main topics include but will not be limited to: (Excellent surveying works in these areas are welcome, too.)

  • Virtual communities
  • Community models, multi-channel communities
  • Community-related business models
  • Cross-cultural: Political and social networking
  • Evolution of and innovation in social networks
  • Information dispersion in social networks
  • Collective intelligence
  • Mobile services for social networks
  • Psychological impact of social networking
  • Peer-to-peer networks in social network
  • Social networks in investigations
  • Social networks in the education
  • Social networks in the science communities
  • Content and customer in social networks
  • Influential members detection
  • Social graphs/temporal patterns
  • Use of Graph theory in Social network
  • Data mining and knowledge discovery
  • Popular events in social communities
  • Compressing large networks for analysis
  • Graph search algorithms
  • Multi-agent modelling and analysis
  • Mobile social networks and semantic web platforms
  • Analysis of semantic web data
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