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WoMG: A Library for Word-of-Mouth Cascades Generation

Published: 08 March 2021 Publication History

Abstract

Studying information propagation in social media is an important task with plenty of applications for business and science. Generating realistic synthetic information cascades can help the research community in developing new methods and applications, testing sociological hypotheses and different what-if scenarios by simply changing few parameters. We demonstrate womg, a synthetic data generator which combines topic modeling and a topic-aware propagation model to create realistic information-rich cascades, whose shape depends on many factors, including the topic of the item and its virality, the homophily of the social network, the interests of its users and their social influence.

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cover image ACM Conferences
WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining
March 2021
1192 pages
ISBN:9781450382977
DOI:10.1145/3437963
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 08 March 2021

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Author Tags

  1. diffusion dynamics
  2. information propagation
  3. online social media
  4. simulation

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