News posting by strategic users in a social network

Mangesh Gupte, Mohammadtaghi Hajiaghayi, Lu Han, Liviu Iftode, Pravin Shankar, Raluca M. Ursu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We argue that users in social networks are strategic in how they post and propagate information. We propose two models - greedy and courteous - and study information propagation both analytically and through simulations. For a suitable random graph model of a social network, we prove that news propagation follows a threshold phenomenon, hence, "high-quality" information provably spreads throughout the network assuming users are "greedy". Starting from a sample of the Twitter graph, we show through simulations that the threshold phenomenon is exhibited by both the greedy and courteous user models.

Original languageEnglish (US)
Title of host publicationInternet and Network Economics - 5th International Workshop, WINE 2009, Proceedings
Pages632-639
Number of pages8
DOIs
StatePublished - 2009
Event5th International Workshop on Internet and Network Economics, WINE 2009 - Rome, Italy
Duration: Dec 14 2009Dec 18 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5929 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Internet and Network Economics, WINE 2009
Country/TerritoryItaly
CityRome
Period12/14/0912/18/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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