TY - GEN
T1 - Bi-modal network relationships in online health networks
AU - Venkatesan, Srikanth
AU - Sharman, Raj
AU - Smith, Sanjukta Das
AU - Prabhu, Vandana
N1 - Publisher Copyright:
© 2018 Association for Information Systems. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Conventional methods of analysis of online networks rely on the mechanisms provided by the platform such as "friends" (Facebook), "followers", "retweets" and "mentions" (Twitter) in order to identify network connections among users. Similar mechanisms have been incorporated by online patient portals as well. However, as an alternative approach, the interactions among the users in such online patient forums can also be used to identify their network connections. This study aims to provide a deeper understanding of the impact of selecting one approach over the other. We delineate the difference between network characteristics of users such as centrality derived from (1) network identified through the existing mechanism of followers and (2) network identified based on the interactions alone (participation in the same thread). This exploration of multiplexed networks provides an insight on how the network characteristics' impact on the respective user's popularity differs based on the two identification approaches.
AB - Conventional methods of analysis of online networks rely on the mechanisms provided by the platform such as "friends" (Facebook), "followers", "retweets" and "mentions" (Twitter) in order to identify network connections among users. Similar mechanisms have been incorporated by online patient portals as well. However, as an alternative approach, the interactions among the users in such online patient forums can also be used to identify their network connections. This study aims to provide a deeper understanding of the impact of selecting one approach over the other. We delineate the difference between network characteristics of users such as centrality derived from (1) network identified through the existing mechanism of followers and (2) network identified based on the interactions alone (participation in the same thread). This exploration of multiplexed networks provides an insight on how the network characteristics' impact on the respective user's popularity differs based on the two identification approaches.
KW - Centrality
KW - Information quality
KW - Multiplexed networks
KW - Online health communities
UR - https://www.scopus.com/pages/publications/85054231359
M3 - Conference contribution
AN - SCOPUS:85054231359
SN - 9780996683166
T3 - Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
BT - Americas Conference on Information Systems 2018
PB - Association for Information Systems
T2 - 24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
Y2 - 16 August 2018 through 18 August 2018
ER -