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Analyzing crowdsourced promotion effects in online social networks
- Kim, Hee-Jeong;
- Chae, Dong-Kyu;
- Kim, Sang-Wook;
- Lee, Jongwuk
SCOPUS
3초록
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.
키워드
- 제목
- Analyzing crowdsourced promotion effects in online social networks
- 저자
- Kim, Hee-Jeong; Chae, Dong-Kyu; Kim, Sang-Wook; Lee, Jongwuk
- 발행일
- 2016-04
- 유형
- Conference Paper
- 저널명
- Proceedings of the ACM Symposium on Applied Computing
- 권
- 04-08-April-2016
- 페이지
- 820 ~ 823