A Framework for Modeling Influence, Opinions and Structure in Social Media
The Blogosphere provides an interesting opportunity to study social
interactions. Blogs provide a channel to express opinions, facts and
thoughts. Through these pieces of information, also known as memes,
bloggers influence each other and engage in conversations that ultimately
lead to exchange of ideas and spread of information. We aim to characterize
and model the Blogosphere to study the spread of influence,
opinion formation and social interaction. Further, we propose
a simple generative process that models
creation and evolution of blogs. This model is an extension of
existing preferential attachment and random surfer model. Using available
samples of the Blogosphre (represented as a blog graph) and the proposed generative model, we hypothesize, compare and
validate different approaches to modeling influence and opinion formation
in social media.
Date: April 24, 2007
Book Title: 22nd Conference on Artificial Intelligence (AAAI 2007)
Type: InProceedings
Edition: Doctoral Symposium
Downloads: 1548
Has 2 soft copies
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size 1137152 bytesBibtex
@InProceedings{A_Framework_for_Modeling_Influence_Opini,
author = "Akshay Java",
title = "{A Framework for Modeling Influence, Opinions and Structure in Social Media}",
month = "April",
year = "2007",
edition = "Doctoral Symposium",
booktitle = "22nd Conference on Artificial Intelligence (AAAI 2007)",
}