Title
Uncovering Multi-mediated Associations in Socio-technical Networks
Abstract
People interact in a variety of ways, and often choose what media to use based on the relationships they have with their interlocutors. Similarly, there are different ways through which people are associated in socio-technical networks or "online communities." This paper reports a study that characterizes how the associations between members of a socio-technical network - the Tapped In network of educational professionals - are distributed across various asynchronous media, and what clusters of associations suggest about community structure within this network. The paper also illustrates an application of an analytic framework we are developing for extracting and analyzing interaction and affiliation data from log files. Affiliation networks of actors and media artifacts were constructed in which directed arcs relate actors to the artifacts they read, write or edit. Visualization of these graphs and associated sociometrics demonstrate how affiliations between participants are distributed differently across media types, reflecting the different roles these media play, and revealing community clusters within the network.
Year
DOI
Venue
2012
10.1109/HICSS.2012.609
HICSS
Keywords
Field
DocType
associations,online communities,educational professional,multi-mediated associations,pattern clustering,affiliation data,affiliation network,tapped in network,social aspects of automation,socio-technical networks,educational technology,media artifact,different way,media play,multi-media,bipartite network,associogram,professional aspects,community structure,media type,community cluster,different role,data visualisation,asynchronous media,online community,graph visualization,social network analysis,socio-technical network,graphs,various asynchronous media,multimediated association,data visualization,media,multi media,layout
Educational technology,Asynchronous communication,Graph,Data visualization,World Wide Web,Community structure,Visualization,Computer science,Social network analysis,Sociotechnical system
Conference
ISSN
ISBN
Citations 
1530-1605 E-ISBN : 978-0-7695-4525-7
978-0-7695-4525-7
1
PageRank 
References 
Authors
0.40
11
3
Name
Order
Citations
PageRank
Kar-Hai Chu1225.38
Daniel D. Suthers2920126.11
Devan Rosen314414.01