Extraction and Analysis Social Networks from Process Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089128" target="_blank" >RIV/61989100:27240/13:86089128 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6622597&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6622597&tag=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CASoN.2013.6622597" target="_blank" >10.1109/CASoN.2013.6622597</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extraction and Analysis Social Networks from Process Data

Popis výsledku v původním jazyce

Information systems support and ensure the practical running of most critical business processes. There exists or can be reconstructed a record (log) of the process running in the information system with information about the participants and the processed objects for most of the processes. This research was realized in the environment of the enterprise information system SAP. Participants of business processes stand in different relationships. We are interested in the relationships that are not explicitly seen from the process logs, but which are detectable by research methods of social networks and communities in social networks. Our work constructs the social network from the process log in the given context and then it finds communities in this network. Found communities were analyzed using knowledge of the business process and the environment in which the process operates. We found that identified communities have reasonable representation in the actual process, and this opened up

Název v anglickém jazyce

Extraction and Analysis Social Networks from Process Data

Popis výsledku anglicky

Information systems support and ensure the practical running of most critical business processes. There exists or can be reconstructed a record (log) of the process running in the information system with information about the participants and the processed objects for most of the processes. This research was realized in the environment of the enterprise information system SAP. Participants of business processes stand in different relationships. We are interested in the relationships that are not explicitly seen from the process logs, but which are detectable by research methods of social networks and communities in social networks. Our work constructs the social network from the process log in the given context and then it finds communities in this network. Found communities were analyzed using knowledge of the business process and the environment in which the process operates. We found that identified communities have reasonable representation in the actual process, and this opened up

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013

ISBN

978-1-4799-1409-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

38-43

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Fargo

Datum konání akce

12. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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