공지사항

Influential users in social network services: The contingent value of connecting user status and brokerage
Data Base for Advances in Information Systems
Volume 49, Issue 1, February 2018, Pages 13-31
 
Kim, Y.-K.(a)Lee, D.(a)Lee, J.(a)Lee, J.-H.(b)Straub, D.W.(c)
a Korea University Business School, South Korea
b KAIST College of Business, South Korea
c Fox School of Business, Temple University, United StatesSHU-UTS SILC Business School, Shanghai University, Shanghai, China


Abstract
Social network services (SNSs) are fundamentally transforming the way businesses communicate with customers. Key issues in understanding social media and such services include how to generate more information traffic and how to increase information exposure. Unlike previous studies in the research stream studying patterns of information diffusion, we investigate the role of influential Twitter users, focusing on their positions in social networks, in redistributing contents generated by other users. To do this, we employ sociological theories in determining which characteristics of connecting users provide more influence. Specifically, a connecting user's position in networks observable to audience affects the user's influence in a way that connecting users with relatively high status and those embedded in a closely connected community exert the greatest impact on the network. Moreover, the value of a connecting user's networkposition can be contingent on the source user's status and network position: a high-status connecting user contributes more to information diffusion when tweets are generated by a low-status source user, and a connecting user who is embedded in a well-connected network contributes more to information diffusion when tweets are generated by a source user in a brokerage position. After exploring data on tweets about Apple products and services, we find evidence that support this set of theoretical claims. Such findings would also provide a useful guidance for practitioners to enhance information diffusion by effectively designing the sequence of content recipients based on their network positions.


Keywords
Brokerage;
Connecting User;
Information Diffusion;
Information Flow Network;
Social Network Analysis (SNA) Social Network Services (SNS);
Status
4565