Social Network Analysis of Authority in the Blogosphere and its Application

Intervenant(s) : Darko OBRADOVIC (German Research Center for Artificial Intelligence)
Blogs are among the first social media sources in the Web 2.0, and they remain influential until today, with a broad coverage of topics and languages. Due to their decentralised structure, sampling of data and network analyses are different from online social networking sites. We present a possible method and evaluation for identifying and measuring authoritative blogs with SNA, using k-cores, random graphs and community identification.
These results are then applied in a prototype tool for the monitoring of specific topics, in combination with text-based subtopic detection, polarity classification and a trend detection.
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