The explosion of the Internet helps the social networking concept to become real, and to be a tool to connect people worldwide in ways that were previously impossible. The Internet’s first generation (Web 1.0) consisted of static pages instead of dynamic HTML, and the presented content to the user is served from a server's file system instead of a Relational Database Management System (RDBMS). The second generation (Web 2.0) encouraged users to share information and interact and collaborate with each other by posting their user-generated contents in virtual communities. The development of Web 2.0 allowed many new social networking sites to flourish such as Facebook, Twitter, LinkedIn, Pinterest, Google Plus+, Tumblr, Instagram, VK, Flickr, Vine, and many others. Such Online Social Networks (OSN) provide a wealth of raw data that is invaluable to governments, companies, universities, etc. The large scale of such networks presents a challenge to providers just to keep them running smoothly. It also presents a challenge to researchers wanting to analyze the data collected from such networks. These challenges contributed to the rise of important of important fields such as big data. The objective of this workshop is to provide general guidelines on the current and future trends in online social network technologies. 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:

Proceedings of the workshops will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries.


Topics of interest
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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 network analysis (SNA)
OSN mining
Security in OSN
Architecture and growth of OSN
Social networks visualization and large scale data representation
OSN and big data
OSN and SNA tools and services on the Cloud
Location-based OSN and other geographical aspects of OSN
Impact of OSN
Community formation, analysis and detection in OSN
Anomaly detection in OSN evolution
Recommender systems and OSN

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