• Publications
  • Influence
Influentials, Networks, and Public Opinion Formation
A central idea in marketing and diffusion research is that influentials—a minority of individuals who influence an exceptional number of their peers—are important to the formation of public opinion.
Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market
TLDR
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.
Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter
TLDR
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.
Re-examination of the "3/4-law" of metabolism.
TLDR
Re-analyse data sets for mammals and birds compiled by Heusner, Bennett and Harvey, Bartels, Hemmingsen, Brody, and Kleiber, and find little evidence for rejecting alpha = 2/3 in favor of alpha = 3/4.
An Experimental Study of Search in Global Social Networks
TLDR
It is concluded that although global social networks are, in principle, searchable, actual success depends sensitively on individual incentives.
Identity and Search in Social Networks
TLDR
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.
Scaling, Universality, and Geomorphology
TLDR
This review describes recent progress made in applying the concepts of scaling and universality to networks and topography and attempts a classification of surface and network properties based on generic mechanisms and geometric constraints.
Universal behavior in a generalized model of contagion.
TLDR
A general model of contagion is introduced which, by explicitly incorporating memory of past exposures to, for example, an infectious agent, rumor, or new product, includes the main features of existing contagion models and interpolates between them.
A generalized model of social and biological contagion.
Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution
TLDR
Overall, the findings call into question the vast majority of existing claims drawn from the Google Books corpus, and point to the need to fully characterize the dynamics of the corpus before using these data sets to draw broad conclusions about cultural and linguistic evolution.
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