Paper Info
Title
Multi-modal Multi-granular Analysis: Exploring Communication Networks under Varying Lenses
Abstract
Activities in online communities are often distributed across multiple media and sites. Additionally, the granularity at which events are recorded may not match the analytic needs. Since communication is scattered across space, time, and media, and the data comes in a variety of formats, there is no single transcript to inspect and share, and the available data representations may not make interaction and its consequences apparent. We present research that explores a multi-modal multi-granular method of analyzing network and interaction data, and how different levels of granularity reveal unique properties of the network. We utilize various techniques and visualization tools to bridge between levels of analysis and study multiple digital media under different lenses. The analytic techniques are explicated via analysis of interactions in SRI' s T apped In community of educational professionals, followed by implications of our research and areas for future development.
Year
DOI
Venue
2012
10.1109/HICSS.2012.441
HICSS
Keywords
Field
DocType
educational professional,multiple media,analytic need,telecommunication networks,multi-modal multi-granular analysis,multiple site,interaction data,data structures,multi-mode,multi-media,different level,associogram,data representation,varying lenses,exploring communication networks,data visualisation,communication network,different lens,association,online community,interactions analysis,network analysis,contingency graph,social networking (online),present research,visualization tools,multi-granular,available data representation,analytic technique,multimodal multigranular analysis,multiple digital media,multi mode,media,digital media,space time,multi media
Data science,Data structure,Data visualization,Telecommunications network,Visualization,Computer science,Knowledge management,Lens (optics),Granularity,Multimedia,Digital media,Modal
Conference
ISSN
ISBN
Citations 
1530-1605 E-ISBN : 978-0-7695-4525-7
978-0-7695-4525-7
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Kar-Hai Chu1225.38
Devan Rosen214414.01
Daniel D. Suthers3920126.11