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ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes

D. Archambault, N. Hurley, C.T. Tu, Daniel Archambault Orcid Logo

The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Pages: 894 - 901

Swansea University Author: Daniel Archambault Orcid Logo

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DOI (Published version): 10.1145/2492517.2500274

Published in: The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)
Published: 2013
Online Access: http://www.scopus.com/inward/record.url?eid=2-s2.0-84893229189&partnerID=MN8TOARS
URI: https://cronfa.swan.ac.uk/Record/cronfa23042
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first_indexed 2015-09-12T02:08:25Z
last_indexed 2018-02-09T05:01:45Z
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spelling 2015-09-12T13:09:27.3235284 v2 23042 2015-09-11 ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2015-09-11 SCS Conference Paper/Proceeding/Abstract The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) 894 901 31 12 2013 2013-12-31 10.1145/2492517.2500274 http://www.scopus.com/inward/record.url?eid=2-s2.0-84893229189&amp;partnerID=MN8TOARS @article archambault2013,title = ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes,journal = Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013,year = 2013,pages = 894-901,author = Archambault, D. and Hurley, N. and Tu, C.T. COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2015-09-12T13:09:27.3235284 2015-09-11T09:14:13.8958842 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science D. Archambault 1 N. Hurley 2 C.T. Tu 3 Daniel Archambault 0000-0003-4978-8479 4
title ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
spellingShingle ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
Daniel Archambault
title_short ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
title_full ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
title_fullStr ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
title_full_unstemmed ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
title_sort ChurnVis: Visualizing mobile telecommunications churn on a social network with attributes
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 D. Archambault
N. Hurley
C.T. Tu
Daniel Archambault
format Conference Paper/Proceeding/Abstract
container_title The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)
container_start_page 894
publishDate 2013
institution Swansea University
doi_str_mv 10.1145/2492517.2500274
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84893229189&amp;partnerID=MN8TOARS
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active_str 0
published_date 2013-12-31T03:27:20Z
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