Topic and Role Discovery in Social Networks

McCallum, Andrew; Corrada-Emmanuel, Andrés; Wang, Xuerui

Topic and Role Discovery in Social Networks

Andrew McCallum, Andrés Corrada-Emmanuel, Xuerui Wang

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 786-790.

Abstract

Previous work in social network analysis (SNA) has modeled the existence of links from one entity to another, but not the language content or topics on those links. We present the AuthorRecipient-Topic (ART) model for social network analysis, which learns topic distributions based on the direction-sensitive messages sent between entities. The model builds on Latent Dirichlet Allocation (LDA) and the Author-Topic (AT) model, adding the key attribute that distribution over topics is conditioned distinctly on both the sender and recipient—steering the discovery of topics according to the relationships between people. We give results on both the Enron email corpus and a researcher’s email archive, providing evidence not only that clearly relevant topics are discovered, but that the ART model better predicts people’s roles.

Andrew McCallum, Andrés Corrada-Emmanuel, and Xuerui Wang. 2005. Topic and Role Discovery in Social Networks. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 786–790. https://ijcai.org/proceedings/2005/222

@inproceedings{ijcai2005p222,
  title     = {Topic and Role Discovery in Social Networks},
  author    = {McCallum, Andrew and Corrada-Emmanuel, Andrés and Wang, Xuerui},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {786--790},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/222},
}

TY  - CPAPER
TI  - Topic and Role Discovery in Social Networks
AU  - McCallum, Andrew
AU  - Corrada-Emmanuel, Andrés
AU  - Wang, Xuerui
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
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UR  - https://ijcai.org/proceedings/2005/222
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