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Evolving Social Networks: trajectories of communities

Speakers: João Gama
Topic(s): Artificial Language/Machine Learning,Knowledge Discovery in Data



In recent years we witnessed an impressive advance in the social networks field, which became a ”hot” topic and a focus of considerable attention. The development of methods that focus on the analysis and understanding of the evolution of data are gaining momentum. The need for describing and understanding the behavior of a given phenomenon over time led to the emergence of new frameworks and methods focused in temporal evolution of data and models. In this talk we discuss the research opportunities opened in analysing evolving data andpresent examples from mining the evolution of clusters and communities in social networks.


About this Lecture

Number of Slides: 50
Duration: 50 minutes
Languages Available: English
Last Updated: 08-29-2016
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