Social network analysis is concerned with the study of relationships between social entities. The recent advances in internet technologies and social media sites, such as Facebook, Twitter and LinkedIn, have created outstanding opportunities for individuals to connect, communicate or comment on issues or events of their interests. Social networks are dynamic and evolving in nature; they also involve a huge number of users. Frequently, the information related to a certain concept is distributed among several servers. This brings numerous challenges to researchers, particularity in the data mining and machine learning fields. The purpose of this SNAMS Symposium is to provide a forum for researchers to present and discuss their work which is related to social network analysis. This workshop is col-located with the 3rd International Conference on Future Internet of Things and Cloud (FiCloud-2016), 22-24 August 2016, Vienna, Austria.
Proceedings of the workshops will be published by the IEEE Conference Publishing Services (CPS) and will be included in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. These are also indexed through IEE INSPEC, EI (Compendex), Thomson ISI.
Social networks mining
Social networks security and privacy
Social networks architecture and growth
Social networks visualization and large scale data representation
Geographical aspects of social networks
Social networks and big data
Impact of social networks
Social networks data analysis tools and services on the Cloud
Opinion mining
Sentimental analysis
Community formation, analysis and detection in Social networks
Anomaly detection in social network evolution
Personalization of search engines and recommender systems based on social network behavior
Psychological and criminal studies related to social networks and social networks behavior
Graphical visualization and analysis of social networks
Natural language processing applications/studies on social networks
08月22日
2016
08月24日
2016
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