Journal article 1244 views
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks
Social Network Analysis and Mining, Volume: 4, Issue: 1, Start page: 205
Swansea University Author: Daniel Archambault
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DOI (Published version): 10.1007/s13278-014-0205-5
Abstract
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks
Published in: | Social Network Analysis and Mining |
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Published: |
2014
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URI: | https://cronfa.swan.ac.uk/Record/cronfa21319 |
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2015-05-12T09:27:23.5907751 v2 21319 2015-05-12 Visualization of trends in subscriber attributes of communities on mobile telecommunications networks 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2015-05-12 SCS Journal Article Social Network Analysis and Mining 4 1 205 8 6 2014 2014-06-08 10.1007/s13278-014-0205-5 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2015-05-12T09:27:23.5907751 2015-05-12T09:21:00.9909651 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Daniel Archambault 0000-0003-4978-8479 1 Neil Hurley 2 |
title |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
spellingShingle |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks Daniel Archambault |
title_short |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
title_full |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
title_fullStr |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
title_full_unstemmed |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
title_sort |
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks |
author_id_str_mv |
8fa6987716a22304ef04d3c3d50ef266 |
author_id_fullname_str_mv |
8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault |
author |
Daniel Archambault |
author2 |
Daniel Archambault Neil Hurley |
format |
Journal article |
container_title |
Social Network Analysis and Mining |
container_volume |
4 |
container_issue |
1 |
container_start_page |
205 |
publishDate |
2014 |
institution |
Swansea University |
doi_str_mv |
10.1007/s13278-014-0205-5 |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
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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 |
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published_date |
2014-06-08T03:25:15Z |
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1763750880326189056 |
score |
11.035874 |