SocialNetworks

SocialNetworks - Topic and Role Discovery In Social...

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Topic and Role Discovery In Social Networks
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10/25/10 Why This Paper? § Show how research in a field progresses § Show how Bayesian nets can be creatively tailored to tackle specific domains § Convince you that you can read papers in machine learning / cognitive science and get the basic idea of the work
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10/25/10 Social Network Analysis Graph in which nodes are individuals or organizations Links represent relationships (interaction, communication) Graph properties connectedness / distance to other nodes natural clusters / bridge points Examples interactions among blogs on a topic communities of interest among faculty spread of infections within hospital
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10/25/10 9/11 Hijacker Analysis
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10/25/10 Indadequacy of Current Techniques Social network interaction Capture a single type of relationship No attempt to capture the language content of the interactions Statistical language models (e.g., topic model) Don't capture directed interactions and relationships between individuals
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10/25/10 Latent Dirichlet Allocation (Blei, Ng, & Jordan, 2003)
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This note was uploaded on 10/24/2010 for the course CSCI 4202 at Colorado.

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SocialNetworks - Topic and Role Discovery In Social...

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