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On modeling context-aware social collaboration processes()
Modeling collaboration processes is a challenging task. Existing modeling approaches are not capable of expressing the unpredictable, non-routine nature of human collaboration, which is influenced by the social context of involved collaborators. We propose a modeling approach which considers collabo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pergamon Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010299/ https://www.ncbi.nlm.nih.gov/pubmed/31523102 http://dx.doi.org/10.1016/j.is.2013.05.007 |
_version_ | 1782479842910928896 |
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author | Liptchinsky, Vitaliy Khazankin, Roman Schulte, Stefan Satzger, Benjamin Truong, Hong-Linh Dustdar, Schahram |
author_facet | Liptchinsky, Vitaliy Khazankin, Roman Schulte, Stefan Satzger, Benjamin Truong, Hong-Linh Dustdar, Schahram |
author_sort | Liptchinsky, Vitaliy |
collection | PubMed |
description | Modeling collaboration processes is a challenging task. Existing modeling approaches are not capable of expressing the unpredictable, non-routine nature of human collaboration, which is influenced by the social context of involved collaborators. We propose a modeling approach which considers collaboration processes as the evolution of a network of collaborative documents along with a social network of collaborators. Our modeling approach, accompanied by a graphical notation and formalization, allows to capture the influence of complex social structures formed by collaborators, and therefore facilitates such activities as the discovery of socially coherent teams, social hubs, or unbiased experts. We demonstrate the applicability and expressiveness of our approach and notation, and discuss their strengths and weaknesses. |
format | Online Article Text |
id | pubmed-4010299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Pergamon Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40102992019-09-11 On modeling context-aware social collaboration processes() Liptchinsky, Vitaliy Khazankin, Roman Schulte, Stefan Satzger, Benjamin Truong, Hong-Linh Dustdar, Schahram Inf Syst Article Modeling collaboration processes is a challenging task. Existing modeling approaches are not capable of expressing the unpredictable, non-routine nature of human collaboration, which is influenced by the social context of involved collaborators. We propose a modeling approach which considers collaboration processes as the evolution of a network of collaborative documents along with a social network of collaborators. Our modeling approach, accompanied by a graphical notation and formalization, allows to capture the influence of complex social structures formed by collaborators, and therefore facilitates such activities as the discovery of socially coherent teams, social hubs, or unbiased experts. We demonstrate the applicability and expressiveness of our approach and notation, and discuss their strengths and weaknesses. Pergamon Press 2014-07 /pmc/articles/PMC4010299/ /pubmed/31523102 http://dx.doi.org/10.1016/j.is.2013.05.007 Text en © 2013 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Liptchinsky, Vitaliy Khazankin, Roman Schulte, Stefan Satzger, Benjamin Truong, Hong-Linh Dustdar, Schahram On modeling context-aware social collaboration processes() |
title | On modeling context-aware social collaboration processes() |
title_full | On modeling context-aware social collaboration processes() |
title_fullStr | On modeling context-aware social collaboration processes() |
title_full_unstemmed | On modeling context-aware social collaboration processes() |
title_short | On modeling context-aware social collaboration processes() |
title_sort | on modeling context-aware social collaboration processes() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010299/ https://www.ncbi.nlm.nih.gov/pubmed/31523102 http://dx.doi.org/10.1016/j.is.2013.05.007 |
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