DocumentCode
1818079
Title
Directed interaction networks and their impact on social media
Author
Mayande, Nitin ; Weber, Charles
Author_Institution
Dept. of Eng. & Technol. Manage., Portland State Univ., Portland, CA, USA
fYear
2013
fDate
July 28 2013-Aug. 1 2013
Firstpage
1709
Lastpage
1722
Abstract
This paper discusses how gossip propagates through modern social media. We simulate 80 random directed interaction networks to address three questions: 1)Does information propagation and consumption impact network structure? 2)Does network structure impact information propagation and consumption? 3)How do information propagation, information consumption and network structure affect the ability to synchronize innovation? We find that network structure and synchronization of innovation are distinct phenomena. Information flow influences network structure, and conversely. Thus both virtuous and vicious cycles of innovation are possible. Furthermore, the ability to synchronize innovation goes up with network density, but the efficiency of the network decreases once the number of shortest paths decrease. These findings are of particular importance to marketing experts who want to propagate their messages through modern social media.
Keywords
Internet; social networking (online); directed interaction networks; impact network structure; information propagation; marketing experts; network density; network structure; social media impact; synchronize innovation; Ecosystems; Erbium; Media; Synchronization; Technological innovation; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location
San Jose, CA
Type
conf
Filename
6641607
Link To Document