Hierarchy Prediction in Online Communities

AAAI 2016 pp. 4224-4225

doi:10.1609/AAAI.V30I1.9951 /aaai/2016/katerenchuk2016aaai-hierarchy/

Abstract

With the development of the Internet, a big part of social interactions have moved online, and people have unconsciously brought their daily communicational habits to the web. Understanding these communications is important because it will lead to a better understanding of online communities, and can improve areas such as e-commerce, advertisement, topic modeling, security, and others. We propose to develop a natural language based ranking algorithm to predict user influence levels in online communication groups.

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Cite

Text

Katerenchuk and Rosenberg. "Hierarchy Prediction in Online Communities." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9951

Markdown

[Katerenchuk and Rosenberg. "Hierarchy Prediction in Online Communities." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/katerenchuk2016aaai-hierarchy/) doi:10.1609/AAAI.V30I1.9951

BibTeX

@inproceedings{katerenchuk2016aaai-hierarchy,
  title     = {{Hierarchy Prediction in Online Communities}},
  author    = {Katerenchuk, Denys and Rosenberg, Andrew},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4224-4225},
  doi       = {10.1609/AAAI.V30I1.9951},
  url       = {https://mlanthology.org/aaai/2016/katerenchuk2016aaai-hierarchy/}
}