Inﬂuentials, Networks, and Public Opinion Formation

By Duncan J. Watts, Peter Sheridan Dodds

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Citations in the corpus

Harvesting ambient geospatial information from social media feeds (2011, unknown): “…exist a variety of models to describe the potential cascade effects of different members’ activities within networks, considering a variety of parameters (e.g. network topology, topic), and thus identify inﬂuencers within the network (see Kimura et al. 2010; Watts and Dodds 2007; Dave et al. 2010).”
Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks (2011, background): “Many campaigns target “influential” individuals who are likely to propagate organic WOM most broadly (Katz and Lazersfeld 1955, Watts and Dodds 2007, Goldenberg et al. 2009), using referral programs to create incentives for them to spread the word (Biyalogorsky et al. 2001).”
Crowdsourcing Consumer Research (2017, background): “For instance, Watts and Dodds (2007) lamented the lack of empirical consumer research on large influencing networks, and crowdsourcing might offer a way forward.”
Patterns of temporal variation in online media (2011, unknown): “For example, some act as “inﬂuen-tials” [33].”
Inferring Networks of Diffusion and Influence (2012, unknown): “For example, in online media, not all the information propagates via the network some is pushed onto the network by the mass media [Katz and Lazarsfeld 1955; Watts and Dodds 2007] and thus a disconnected cascade can be created.”
Everyone's an influencer: quantifying influence on twitter (2011, result): “…for regression tree including content ing regarding the relative eﬃcacy of ordinary inﬂuencers is consistent with previous theoretical work [32] that has also questioned the feasibility of word-of-mouth strategies that depend on triggering “social epidemics” by targeting special…”
Binary-state dynamics on complex networks: pair approximation and beyond (2012, unknown): “The Bass model [58–60] for diffusion of technological innovations is an extension of the SI model and may be similarly specialized to a network context.”
Influence and passivity in social media (2010, unknown): “Others discussed the presence of key inﬂuentials [12, 11, 8, 5, 10] in a social network, deﬁned as those who are responsible for the overall information dissemination in the network.”