Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks

By Sinan Aral, Dylan Walker. 2011

860 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

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Citations in the corpus

Estimating Average Causal Effects Under Interference Between Units (2013, methodology): “This simulated experiment resembles various studies of network persuasion campaigns (Chen et al., 2010; Aral and Walker, 2011; Paluck, 2011).”
Conformity Consumption Behavior and FoMO (2019, background): “According to Aral and Walker [47], online social connections can promote the adoption of products and social interactions can stimulate spending on products.”
Virality Prediction and Community Structure in Social Networks (2013, background): “The questions of how memes spread and which will go viral have recently attracted much attention across disciplines, including marketing [6, 19], network science [20, 21], communication [22], and social media analytics [23–25].”
Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks (2014, methodology): “Inaddition to that, if a network in question is large enough, stratiﬁcation by degree analysis (Aral and Walker 2011) would allow to deﬁne the con-trol group C without ﬁrst deﬁning any reference group NM .”
Estimating peer effects in networks with peer encouragement designs (2016, background): “Much of the experimental work in this area has used mechanism designs, which directly modulate mechanisms (or channels) by which information about peer behavior is optionally or nondeterministically transmitted to a focal individual (ego) through the network (18, 26 – 28).”
Regular Article (2004, positive): “Welldesigned randomized experiments then can be carried out to further confirm the existence of these e↵ects (Centola, 2010; Aral and Walker, 2011).”
Social Networks, Personalized Advertising, and Privacy Controls (2013, neutral): “…social networks can be used to target [26], how such social networking sites can use advertising to obtain members [39], how social networks can be used to target ads [41], and also how makers of applications designed to be used on social networking sites can best advertise their products [3].”
Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2013, neutral): “Studies draw from networking websites where network ties are explicit (e.g., Aral and Walker 2011, Susarla et al. 2012, Gnyawali et al. 2010) or copurchase and recommendation networks (e.g., Oestreicher-Singer and Sundararajan 2012).”
Social contagion theory: examining dynamic social networks and human behavior (2011, background): “13 Sinan Aral and colleagues have also been advancing this area; see, for example, Aral and Walker (2010).”
The effect of social networks structure on innovation performance: A review and directions for research (2019, background): “Aral and Walker (2014) did evaluate embeddedness and adoption in a network: In a controlled online experiment, the authors observed that embeddedness enhances peer influence with respect to adoption of a Facebook app.”