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Challenges in Social Network Data: Processes, Privacy and Paradoxes

Challenges in Social Network Data: Processes, Privacy and Paradoxes

This video was recorded at 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007. The proliferation of rich social media, on-line communities, and collectively produced knowledge resources has accelerated the convergence of technological and social networks, producing environments that reflect both the architecture of the underlying information systems and the social structure on their members. In studying the consequences of these developments, we are faced with the opportunity to analyze social network data at unprecedented levels of scale and temporal resolution; this has led to a growing body of research at the intersection of the computing and social sciences. Do you have a question for this lecturer at the KDD 2007?  We encourage you to start a debate, comment on each lecturers video or send us an email and we will ask them for you! Disclamer: Videolectures.Net emphasises that the quality of this video was notably improved, because of low light quality conditions provided in the lecture auditorium.


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