Paper Info
Title
Information Adoption via Repeated or Diversified Social Influence on Twitter
Abstract
Influence arriving via social ties may be relevant for a person to decide to buy a new product, share information, or to adopt a new behaviour. However, quantifying social influence is a difficult task, even in online social systems where the interactions and communication content can be closely followed. Here we study the information susceptibility and adoption thresholds of users on Twitter. We consider hashtag and retweet adoptions on different aggregation levels: items, users, and topic groups, and study these adoption mechanisms characterized by diversified or repeated influence stimuli. We find both metrics to be heterogeneously distributed, correlated, and dependent on the topics and aggregation level of social influence. We show that users adopt retweets easier than hashtags, and find that new influencing neighbors can effectively trigger adoptions. Our results may inform better models of adoption processes leading to a deeper empirical understanding of simple and complex contagion.
Year
DOI
Venue
2020
10.1109/ASONAM49781.2020.9381365
2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Keywords
DocType
ISSN
Social Influence,Susceptibility,Adoption Threshold
Conference
2473-9928
ISBN
Citations 
PageRank 
978-1-7281-1057-8
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Jaqueline Faria de Oliveira100.34
Humberto T. Marques-Neto2294.00
Márton Karsai342230.42