TY - GEN
T1 - Social media activity and hyperlink network analysis
T2 - 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
AU - Fu, Jiawei Sophia
AU - Shumate, Michelle
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/26
Y1 - 2015/3/26
N2 - This study examines a hyperlink network among non-governmental organizations (NGOs) in China. Using social media activity, indicated by the presence of a profile, length of time since social media adoption, number of accounts followed, and number of posts, we investigate NGOs' hyper linking behaviors from a holistic media ecology perspective. Drawing from homophily and resource dependence theory, this research aims to understand NGOs' hyperlink networks from their social media activity. Four findings emerge from our study. First, hyperlink networks interact with social media activities. Second, hyperlink networks are shaped by both homophily and resource dependence. However, resource dependence theory better explains hyperlink networks. Third, in line with cohort effects, length of time since social media adoption matters for hyperlink network, early social media adopters were more likely to hyperlink to early adopters. Fourth, the number of posts is a better activity predictor for NGOs' hyperlink networks than number of accounts followed.
AB - This study examines a hyperlink network among non-governmental organizations (NGOs) in China. Using social media activity, indicated by the presence of a profile, length of time since social media adoption, number of accounts followed, and number of posts, we investigate NGOs' hyper linking behaviors from a holistic media ecology perspective. Drawing from homophily and resource dependence theory, this research aims to understand NGOs' hyperlink networks from their social media activity. Four findings emerge from our study. First, hyperlink networks interact with social media activities. Second, hyperlink networks are shaped by both homophily and resource dependence. However, resource dependence theory better explains hyperlink networks. Third, in line with cohort effects, length of time since social media adoption matters for hyperlink network, early social media adopters were more likely to hyperlink to early adopters. Fourth, the number of posts is a better activity predictor for NGOs' hyperlink networks than number of accounts followed.
KW - Homophily
KW - Hyperlinks
KW - Media ecology
KW - Nongovernmental organization (NGO)
KW - Resource dependence theory
KW - Social media
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=84944237222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944237222&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2015.218
DO - 10.1109/HICSS.2015.218
M3 - Conference contribution
AN - SCOPUS:84944237222
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 1808
EP - 1817
BT - Proceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
A2 - Bui, Tung X.
A2 - Sprague, Ralph H.
PB - IEEE Computer Society
Y2 - 5 January 2015 through 8 January 2015
ER -