Complex contagions and the diffusion of popular Twitter hashtags in Nigeria

Social media sites such as Facebook and Twitter provide highly granular time-stamped data about the interactions and communications between people and provide us unprecedented opportunities for empirically testing theory about information flow in social networks. Using publicly available data from T...

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Vydané v:	Social network analysis and mining Ročník 6; číslo 1; s. 1
Hlavní autori:	Fink, Clay, Schmidt, Aurora, Barash, Vladimir, Cameron, Christopher, Macy, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Vienna Springer Vienna 01.12.2016 Springer Nature B.V
Predmet:	Application programming interface Applications of Graph Theory and Complex Networks Behavior Computer mediated communication Computer Science Connectedness Contagion Contagion theory Critical mass Data mining Data Mining and Knowledge Discovery Diffusion of Information and Influence in Social Networks Digital media Economics Epidemics Game Theory Humanities Information dissemination Information flow Information retrieval Information sharing Interpersonal communication Islam Kidnapping Law Marketing Mass media Media coverage Methodology of the Social Sciences Middle Eastern cultural groups News News media Original Article Participation Propagation Reinforcement Social activism Social and Behav. Sciences Social contagion Social media Social movements Social networks Statistics for Social Sciences Tagging Tags Theory Nigeria Network structure Twitter Social movements Complex contagion
ISSN:	1869-5450, 1869-5469
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