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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