Categories |
BIG DATA
SOCIAL NETWORK
DATA SCIENCE
MACHINE LEARNING
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About |
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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. |
Call for Papers |
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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. 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: |
Summary |
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OSNT 2020 : The Fifth International Workshop on Online Social Networks Technologies will take place in Paris, France. It’s a 3 days event starting on Dec 14, 2020 (Monday) and will be winded up on Dec 16, 2020 (Wednesday). OSNT 2020 falls under the following areas: BIG DATA, SOCIAL NETWORK, DATA SCIENCE, MACHINE LEARNING, etc. Submissions for this Workshop can be made by Oct 25, 2020. Authors can expect the result of submission by Nov 15, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Dec 01, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the OSNT 2020
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Credits and Sources |
| [1] OSNT 2020 : The Fifth International Workshop on Online Social Networks Technologies |
