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Discovery of information disseminators and receptors on online social media

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Munmun De ChoudhuryAuthors Info & Claims

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

Pages 279 - 280

https://doi.org/10.1145/1810617.1810674

Published: 13 June 2010 Publication History

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Abstract

Today, there is significant sharing of information artifacts among users on various social media sites, including Digg, Twitter and Flickr. An interesting consequence of such rich and extensive social interaction is the evolving nature of "roles" that are acquired by users over time, in the context of variegated communication activities, such as commenting, replying, uploading a media artifact and so on. In this paper, we investigate the discovery of two roles that define information dissipation: disseminators and receptors. We propose a computational framework based on factorization of stacked representation of activities and test the outcomes on a dataset from Digg. Experiments show that our approach can, interestingly, reveal correlations with user activities occurring at a future point in time.

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Daniel Gruhl, R. Guha, David Liben-Nowell, and Andrew Tomkins. Information diffusion through blogspace. In WWW '04, pages 491--501, New York, NY, USA, 2004. ACM.

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David Kempe, Jon Kleinberg, and Éva Tardos. Maximizing the spread of influence through a social network. In KDD '03, pages 137--146, 2003.

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Obregon JSong MJung J(2019)InfoFlow: Mining Information Flow Based on User Community in Social Networking ServicesIEEE Access10.1109/ACCESS.2019.2906081(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2906081
Mohan SSubramanian M(2014)A New Method of Identifying Individuals’ Roles in Mobile Telecom Subscriber Data for Improved Group RecommendationsMultidisciplinary Social Networks Research10.1007/978-3-662-45071-0_18(213-227)Online publication date: 2014
https://doi.org/10.1007/978-3-662-45071-0_18
Achananuparp PLim EJiang JHoang T(2012)Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter NetworkACM Transactions on Management Information Systems10.1145/2361256.23612583:3(1-30)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1145/2361256.2361258

Index Terms

Discovery of information disseminators and receptors on online social media
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology

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Published In

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

June 2010

328 pages

ISBN:9781450300414

DOI:10.1145/1810617

General Chair:
Mark Chignell
University of Toronto
,
Program Chair:
Elaine Toms
Dalhousie University

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Association for Computing Machinery

New York, NY, United States

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Published: 13 June 2010

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HT '10: 21st ACM Conference on Hypertext and Hypermedia

June 13 - 16, 2010

Ontario, Toronto, Canada

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Overall Acceptance Rate 334 of 1,043 submissions, 32%

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Obregon JSong MJung J(2019)InfoFlow: Mining Information Flow Based on User Community in Social Networking ServicesIEEE Access10.1109/ACCESS.2019.2906081(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2906081
Mohan SSubramanian M(2014)A New Method of Identifying Individuals’ Roles in Mobile Telecom Subscriber Data for Improved Group RecommendationsMultidisciplinary Social Networks Research10.1007/978-3-662-45071-0_18(213-227)Online publication date: 2014
https://doi.org/10.1007/978-3-662-45071-0_18
Achananuparp PLim EJiang JHoang T(2012)Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter NetworkACM Transactions on Management Information Systems10.1145/2361256.23612583:3(1-30)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1145/2361256.2361258

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Social media use and consumer shopping preferences

The future of online social networks (OSN)

Social Information Processing in News Aggregation

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