DocumentCode :
119988
Title :
A correspondence analysis framework for workflow-supported performer-activity affiliation networks
Author :
Hyun Ahn ; Chungun Park ; Kwanghoon Pio Kim
Author_Institution :
Dept. of Comput. Sci., KYONGGI Univ., Suwon, South Korea
fYear :
2014
fDate :
16-19 Feb. 2014
Firstpage :
350
Lastpage :
354
Abstract :
The workflow-supported affiliation network is a special type of the workflow-supported social network, and represents affiliated relationships between two different entity types in workflow models. In this paper, we propose a theoretical framework for particularly analyzing the performer-activity correspondence measurements on a workflow-supported affiliation network. The proposed framework formalizes a series of theoretical steps from discovering a workflow-supported performer-activity affiliation network to analyzing the performer-activity association on the discovered affiliation network using correspondence analysis. As an operational example, we apply a typical example of the information control net workflow model to the steps of the procedural framework and show its results of the performer-activity correspondence analysis.
Keywords :
matrix algebra; social networking (online); workflow management software; information control net workflow model; performer-activity correspondence analysis; performer-activity correspondence measurements; workflow models; workflow-supported affiliation network; workflow-supported performer-activity affiliation network; workflow-supported social network; Algorithm design and analysis; Analytical models; Collaboration; Computer science; Educational institutions; Social network services; ICN-based workflow model; correspondence analysis; organizational knowledge; workflow intelligence; workflow-supported affiliation network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
Type :
conf
DOI :
10.1109/ICACT.2014.6778980
Filename :
6778980
Link To Document :
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