There has been a rapid growth of social network services in the past decade. As a significant kind of online tool, social media are used to share content, opinions, insights, experiences, perspectives and media itself. It facilitates conversations and interaction online between groups of people. Social media has greatly changed our life pattern and also the way organizations runs. Individuals and organizations are interactive with each other, and the society is the hyper-connected. Collective intelligence on the social media platform is an emerging topic which receives concerns both from scholars and practitioners. The South Koreans Candlelight Rallies can be considered as a successful example of collective intelligence which based on social media platform. However, research on this field is still very limited, thus, more diverse research on this research field is needed. Our study aims to investigate the intelligence grouping on the social networks platform. We collected network data from 97 MBA students from their Facebook. We used the Microsoft NodeXL program to analyze our network data. Particularly, we compare the network differences, including of degree, strength, distance, and centrality between individuals to identify how the network structure influences the grouping process within focal networks.
Seungwha Andy Chung, School of Business, Yonsei University, South Korea
Lifang Zhao, School of Business, Yonsei University, South Korea
Sunju Park, Yonsei University, South Korea
Paper Information Conference: GIVS-Tokyo2018
Stream: Social Innovation
Added on Friday, October 12th, 2018
The full paper is not available for this title