The Third International Symposium on Social Networks Analysis, Management and Security
(SNAMS - 2016)

in conjunction with

The 4th International Conference on Future Internet of Things and Cloud (FiCloud-2016)

22-24 August 2016, Vienna, Austria




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.


Topics of interest
==============
Authors are encouraged to submit their original work, which is not submitted elsewhere, to this workshop. The topics of the workshop include but not limited to:

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

Paper Submission :
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Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 6 pages. Papers should be prepared using IEEE two-column template.

IEEE Computer Society Proceedings Author Guidelines are available at: IEEE Guidelines Link

Papers should be submitted as PDF files via the EasyChair: EasyChair Link

Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference. All papers accepted for this conference are peer-reviewed and are to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS), and indexed by IEEE Xplore Digital Library

Accepted papers will be invited to submit extended versions to the Special Issues in the follwoing journals

International Journal of Virtual Communities and Social Networking (IJVCSN) Link
International Journal of Social Network Mining Link


Organising Committee

General co-Chairs:

Jim Jansen , Computing Research Institute, HBKU, Qatar and The Pennsylvania State University, USA
Rehab Duwairi, Jordan University of Science and Technology, Jordan.

Technical Program co-Chairs:

Zaki Malik, Wayne State University, USA
Bin Guo, Northwestern Polytechnical University. China
Bas Geerdink, ING, Netherlands

Publication Chair:

Tolga Soyata, University of Rochester, USA

Organising Chairs:
Yaser Jararweh, Jordan Univeristy of Science and Technology (yijararweh@just.edu.jo)
Elhadj Benkhelifa, Staffordshire University, UK

SNAMS Steering Committee:

Mahmoud Al-Ayyoub, Jordan University of Science and Technology, Jordan
Jie Gao, Stony Brook University, USA
Muhannad Quwaider, Jordan University of Science and Technology, Jordan
Bhavani Thuraisingham, The University of Texas at Dallas, USA
Keith C.C. Chan, The Hong Kong Polytechnic University, Hong Kong
Elhadj Benkhelifa, Staffordshire University, UK
Yaser Jararweh, Jordan University of Science and Technology