Title
Analyzing crowdsourced promotion effects in online social networks.
Abstract
In recent years, crowdsourcing has been actively used for many people to promote their products in online social networks (OSN), e.g., Twitter. The promotion activity in Twitter is typically performed by retweeting tweets by some accounts, called workers who earn monetary profits by deliberately promoting products for a requester. In this process, a fundamental question is whether the promotions by workers are really effective or not. To answer this question, in this paper, we analyze topological characteristics for the networks of workers, and evaluate the effect of promotions. Our empirical study demonstrates that the network of workers tends to be connected as a small-world network and their promotions show low impacts in the network of workers.
Year
DOI
Venue
2016
10.1145/2851613.2852005
SAC 2016: Symposium on Applied Computing Pisa Italy April, 2016
Field
DocType
ISBN
Social network,Advertising,Crowdsourcing,Empirical research,Profit (economics),Business
Conference
978-1-4503-3739-7
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Jongwuk Lee1918.21
Dong-Kyu Chae25910.07
Sang-Wook Kim3792152.77
Jongwuk Lee420212.41