TY - GEN
T1 - The Role of Followers and Followees in the Adoption of Innovations
AU - Atlas, Mor
AU - Gavious, Arieh
AU - Ravid, Gilad
N1 - Publisher Copyright: © 2023 IEEE Computer Society. All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - An online social network is a key platform through which innovation diffuses. To learn about innovativeness, we simultaneously investigate two Twitter networks, the relationships network, following-follower relationships, and the activity network, the flow of tweets. Specifically, the innovativeness relations to the networks' indegree and outdegree, the volume of platform use, and the profile's age. The more active and central the user, the earlier the adoption. Innovativeness increases with the number of followers only when at least several of them adopt the innovation. Surprisingly, having more followees is linked to later engagement with the innovation. This association is mediated by the number of adopters' followees. Those who created a Twitter profile later are also more likely to adopt innovations later. This study is novel in distinguishing between the two networks and analyzing their interactions. Its contribution lies in identifying the innovativeness of users in an online social network platform diffusion.
AB - An online social network is a key platform through which innovation diffuses. To learn about innovativeness, we simultaneously investigate two Twitter networks, the relationships network, following-follower relationships, and the activity network, the flow of tweets. Specifically, the innovativeness relations to the networks' indegree and outdegree, the volume of platform use, and the profile's age. The more active and central the user, the earlier the adoption. Innovativeness increases with the number of followers only when at least several of them adopt the innovation. Surprisingly, having more followees is linked to later engagement with the innovation. This association is mediated by the number of adopters' followees. Those who created a Twitter profile later are also more likely to adopt innovations later. This study is novel in distinguishing between the two networks and analyzing their interactions. Its contribution lies in identifying the innovativeness of users in an online social network platform diffusion.
KW - Adoption
KW - Centrality Measures
KW - Innovativeness
KW - Online Social Networks
KW - Relationships Graphs
UR - http://www.scopus.com/inward/record.url?scp=85152122694&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2463
EP - 2472
BT - Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
A2 - Bui, Tung X.
T2 - 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
Y2 - 3 January 2023 through 6 January 2023
ER -