P
Peter Sheridan Dodds
Researcher at University of Vermont
Publications - 164
Citations - 15084
Peter Sheridan Dodds is an academic researcher from University of Vermont. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 42, co-authored 147 publications receiving 13456 citations. Previous affiliations of Peter Sheridan Dodds include Massachusetts Institute of Technology & Columbia University.
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Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market
TL;DR: An artificial “music market” was created in which 14,341 participants downloaded previously unknown songs either with or without knowledge of previous participants' choices, and increasing the strength of social influence increased both inequality and unpredictability of success.
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Influentials, Networks, and Public Opinion Formation
TL;DR: The authors examined the influence of influential individuals in the formation of public opinion and found that large cascades of influence are driven not by influential individuals but by a critical mass of easily influenced individuals.
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Identity and Search in Social Networks
TL;DR: A model is presented that offers an explanation of social network searchability in terms of recognizable personal identities: sets of characteristics measured along a number of social dimensions that may be applicable to many network search problems.
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An Experimental Study of Search in Global Social Networks
TL;DR: It is concluded that although global social networks are, in principle, searchable, actual success depends sensitively on individual incentives.
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Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter
Peter Sheridan Dodds,Kameron Decker Harris,Isabel M. Kloumann,Catherine A. Bliss,Christopher M. Danforth +4 more
TL;DR: Examination of expressions made on the online, global microblog and social networking service Twitter is examined, uncovering and explaining temporal variations in happiness and information levels over timescales ranging from hours to years.