Paper Info
Title
A Framework: Workflow-Based Social Network Discovery and Analysis
Abstract
The purpose of this paper is to build a fundamental framework of discovering and analyzing a workflow-based social network formed through workflow-based organizational business operations. A little more precisely speaking, the framework formalizes a series of theoretical steps from discovering a workflow-based social network to analyzing the discovered social network. For the sake of the discovery phase, we conceive an algorithm that is able to automatically discover the workflow-based social network from a workflow procedure; while on the other hand, in the analysis phase we apply the degree centrality algorithm to the discovered social network, which is one of the well-known social network analysis algorithms in the literature. Consequently, the crucial implication of the framework is in quantifying the degree of work-intimacy among performers who are involved in enacting the corresponding workflow procedure. Also, as a conceptual extension of the framework, it can be applied to discovering and analyzing degree centrality or collaborative closeness and betweenness among architectural components and nodes of collaborative cloud workflow computing environments.
Year
DOI
Venue
2010
10.1109/CSE.2010.74
C3S2E
Keywords
Field
DocType
collaborative closeness,well-known social network analysis,social network,fundamental framework,workflow based social network discovery,icn-based workflow model,corresponding workflow procedure,degree centrality algorithm,collaborative cloud workflow computing environments,workflow procedure,workflow-based social network discovery,human network discovery,workflow based social network analysis,architectural components,workflow management software,workflow-based organizational business operation,workflow based organizational business operation,collaborative cloud workflow computing,analysis phase,social networking (online),business data processing,cloud computing,groupware,degree of work-intimacy,workflow-based social network,centrality analysis,probability,algorithm design and analysis,social network analysis
Data science,Workflow technology,World Wide Web,Social network,Computer science,Collaborative software,Social network analysis,Centrality,Betweenness centrality,Workflow management system,Workflow,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4323-9
8
0.71
References 
Authors
8
4
Name
Order
Citations
PageRank
Jihye Song180.71
Minjoon Kim2153.88
Hak Sung Kim3225.40
Kwang-hoon Kim434037.99