2009
DOI: 10.1007/978-3-642-10841-9_65
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News Posting by Strategic Users in a Social Network

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 th… Show more

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Cited by 18 publications
(7 citation statements)
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“…Studies have indicated a higher level of involvement when people choose nontraditional ways of engaging with the news, notably, online posting behavior. Posting has been noted to stem from active and strategic motives (Gupte et al, 2009) and to invoke more attentive types of information processing, such as more careful deliberation (Jung, Kim, & Gil de Zúñiga, 2011;Polletta, Chen, & Anderson, 2009). Also, the desire to share information with others is linked to a higher level of involvement with the content (Rubin & Perse, 1987).…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Studies have indicated a higher level of involvement when people choose nontraditional ways of engaging with the news, notably, online posting behavior. Posting has been noted to stem from active and strategic motives (Gupte et al, 2009) and to invoke more attentive types of information processing, such as more careful deliberation (Jung, Kim, & Gil de Zúñiga, 2011;Polletta, Chen, & Anderson, 2009). Also, the desire to share information with others is linked to a higher level of involvement with the content (Rubin & Perse, 1987).…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…" We are only aware of a few other works analyzing news dissemination with a game theoretic background. Previous work assumed news is equally appealing to all users [9], and showed that local incentives suffice for higher quality news to reach a large audience in a random graph, by a connectivity argument. It also showed that users attempting to avoid spam may be an important limiting factor.…”
Section: Related Workmentioning
confidence: 99%
“…Information from OSNs can also be exploited to improve Internet search engines [26], while others have applied this information to increase profits from viral marketing [33]. OSNs have also applications in Vehicular ad hoc Networks (VANETs) where groups of vehicles' drivers socialize and communicate with each other in order to inform for the roads' conditions [19]. As far as the education is concerned, OSNs can be helpful to a students learning environment, as long as it is used correctly and responsibly [25].…”
Section: Business and Social Impactmentioning
confidence: 99%