Why rumors spread so quickly in social networks
By Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich. Communications of the ACM, 2012
340 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/067d8d35c73b1c71aeb0d17e78346a02b412c187
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Yi-Cheng Zhang
- Deb K. Roy
- Neil Shah
- B.D.O. Anderson
- Mark Dredze
- Miles Osborne
- Prabhanjan Kambadur
- Srijan Kumar
In Statistical and Nonlinear Physics
Citations in the corpus
- Dynamics of information diffusion and its applications on complex networks (2016, background): “2 million members within only eight rounds of communication [78].”
- Clique Gossiping (2017, background): “Today, gossip processes are natural models for interpersonal interactions and opinion evolutions in social networks [11]; distributed systems running gossip protocols have been developed to realize in-network control [12], filtering [13], signal processing [14], and computation [15], [16].”
- False Information on Web and Social Media: A Survey (2018, background): “[23] on realistic spread of simple rumors, on several graphs having the structure of existing large social networks, showed that even a rumor started by a random node on average reaches 45.”
- How Twitter is Changing the Nature of Financial News Discovery (2016, background): “How and why rumors spread on Twitter has been the subject of several studies [34, 26, 12].”
- The spread of true and false news online (2018, background): “Some work develops theoretical models of rumor diffusion [37, 38, 39, 40], or methods for rumor detection [41, 42, 43, 44], credibility evaluation [45] or interventions to curtail the spread of rumors [46, 47, 48].”