SocialSensor at NEM2012

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SocialSensor will be presented in NEM 2012, during 16-18 October, Istanbul, Turkey. Dr. Nikos Sarris, ATC will present the project paper entitled "SocialSensor: Surfacing Real-Time Trends and Insights from Multiple Social Networks" during the Session 1B "Connected Media Worlds" on tuesday October 16 at 11:30 am. You can find the project poster and leaflet at the AV Search Cluster booth where you can ask Mrs. Michele Wilmet for any further information. Looking forward to seeing you in NEM 2012.

Project paper at NEM Summit 2012

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A project publication entitled "SocialSensor: Surfacing Real-Time Trends and Insights from Multiple Social Networks" has been accepted for presentation in the 2012 NEM Summit, which will take place in Istanbul, 16-18 October 2012.

The paper was written by Sotiris Diplaris, Giorgos Petkos, Symeon Papadopoulos, Yiannis Kompatsiaris, Nikos Sarris, Carlos Martin, Ayse Goker, David Corney, Joost Geurts, Yaning Liu, and Jean-Charles Point. It is a joint dissemination result of SocialSensor, presenting the SocialSensor challenges, architecture, current research work and use cases.

Report from SSMS 2012 summer school

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SocialSensor successfully organised the 6th Summer School on Social Media Modeling and Search (SSMS 2012) in Fira, Santorini, Greece during 10-14 September 2012. SSMS12 was an ACM Chapter Event of the the EuroMM, the European Chapter of the ACM SIGMM. Different topics were covered in the program, including both theoretical and practical aspects of state-of-the-art research in the following multi-disciplinary topics:

  - Large-scale Multimedia Analysis and Retrieval
  - Online Social Interaction Modeling and Analysis
  - Social Graph Analysis and Measures
Social Media Applications and Architecture

35 PhD students, young researchers and practitioners participated in the summer school program, which was aimed towards training professionals and students with 16 internationally renowned speakers from Facebook, Yahoo!, INRIA and many other distinguished researchers. The program also included a Media Industry Day with participation of professionals from the news sector focusing on Social Media and how it affects the news industry, which is one of the SocialSensor use cases.

Two new deliverables

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The following SocialSensor deliverables are now available for download from the deliverables page:

 - D1.2 Evaluation protocol
 - D6.1 Definition of system architecture

JCP-Consult presents DASH over CCN at CCNx conference

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JCP-Consult, in collaboration with University of Klagenfurt, presented SocialSensor and their work on adaptive video streaming (DASH) and Content Centric Networks (CCN) at the CCNxCon2012 conference. The quality of video streaming using state of the art technologies is predominantly determined by the bottleneck link in the end-to-end network path between the source and destination. Since network fluctuations are bound to occur the resulting user experience is suboptimal at best. By using the caching mechanism in CCN networks and the adaptive video streaming of DASH, the quality of the video stream will progressively improve despite bottlenecks in the network resulting in a better QoS for the user. Here you can download the conference presentation.

Special Issue on Social Media as Sensors IEEE Transactions on Multimedia

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SUBMISSION DUE DATE: 7-September-2012

Web 2.0 applications and social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on and share this content within their social circles. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favourites, access patterns and logs etc. At the same time all this information is implicitly or explicitly interconnected based on various properties such as social links between users, groups, communities, etc. These properties transform social media to data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media offer a unique opportunity to structure and extract information and to benefit multiple areas ranging from computer vision to sociology and marketing.