Social networks and spin glasses
The networks formed from the links between telephones observed in a month's call detail records (CDRs) in the UK are analyzed, looking for the characteristics thought to identify a communications network or a social network. Some novel methods are employed. We find similarities to both types of...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Informa UK Limited
2021
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| Online Access: | https://hdl.handle.net/1721.1/134502 |
| _version_ | 1811083203678568448 |
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| author | Kirkpatrick, Scott Kulakovsky, Alex Cebrian, Manuel Pentland, Alex Sandy |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Kirkpatrick, Scott Kulakovsky, Alex Cebrian, Manuel Pentland, Alex Sandy |
| author_sort | Kirkpatrick, Scott |
| collection | MIT |
| description | The networks formed from the links between telephones observed in a month's call detail records (CDRs) in the UK are analyzed, looking for the characteristics thought to identify a communications network or a social network. Some novel methods are employed. We find similarities to both types of network. We conclude that, just as analogies to spin glasses have proved fruitful for optimization of large-scale practical problems, there will be opportunities to exploit the statistical mechanics of the formation and dynamics of social networks in today's electronically connected world. © 2012 Copyright Taylor and Francis Group, LLC. |
| first_indexed | 2024-09-23T12:28:22Z |
| format | Article |
| id | mit-1721.1/134502 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:28:22Z |
| publishDate | 2021 |
| publisher | Informa UK Limited |
| record_format | dspace |
| spelling | mit-1721.1/1345022023-02-22T17:23:21Z Social networks and spin glasses Kirkpatrick, Scott Kulakovsky, Alex Cebrian, Manuel Pentland, Alex Sandy Massachusetts Institute of Technology. Media Laboratory The networks formed from the links between telephones observed in a month's call detail records (CDRs) in the UK are analyzed, looking for the characteristics thought to identify a communications network or a social network. Some novel methods are employed. We find similarities to both types of network. We conclude that, just as analogies to spin glasses have proved fruitful for optimization of large-scale practical problems, there will be opportunities to exploit the statistical mechanics of the formation and dynamics of social networks in today's electronically connected world. © 2012 Copyright Taylor and Francis Group, LLC. 2021-10-27T20:05:18Z 2021-10-27T20:05:18Z 2012 2019-07-26T13:21:24Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134502 Kirkpatrick, S., et al. "Social Networks and Spin Glasses." Philosophical Magazine 92 1-3 (2012): 362-77. en 10.1080/14786435.2011.634858 Philosophical Magazine Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Informa UK Limited arXiv |
| spellingShingle | Kirkpatrick, Scott Kulakovsky, Alex Cebrian, Manuel Pentland, Alex Sandy Social networks and spin glasses |
| title | Social networks and spin glasses |
| title_full | Social networks and spin glasses |
| title_fullStr | Social networks and spin glasses |
| title_full_unstemmed | Social networks and spin glasses |
| title_short | Social networks and spin glasses |
| title_sort | social networks and spin glasses |
| url | https://hdl.handle.net/1721.1/134502 |
| work_keys_str_mv | AT kirkpatrickscott socialnetworksandspinglasses AT kulakovskyalex socialnetworksandspinglasses AT cebrianmanuel socialnetworksandspinglasses AT pentlandalexsandy socialnetworksandspinglasses |