Conference Paper/Proceeding/Abstract 927 views 101 downloads
Digital Footprints: Envisaging and Analysing Online Behaviour
Social Aspects of Cognition and Computing Symposium
Swansea University Author:
Tom Crick
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Abstract
Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel w...
Published in: | Social Aspects of Cognition and Computing Symposium |
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Published: |
2015
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Online Access: |
https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html |
URI: | https://cronfa.swan.ac.uk/Record/cronfa43383 |
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2018-08-14T15:01:05Z |
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2023-01-11T14:20:02Z |
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2022-12-18T17:43:56.7243912 v2 43383 2018-08-14 Digital Footprints: Envisaging and Analysing Online Behaviour 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 SOSS Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel way of representing personality traits (using the Five Factor model) with behavioural features (fantasy and profanity). We also present some preliminary ideas around developing a scalable solution to modelling behaviour using swear words. Conference Paper/Proceeding/Abstract Social Aspects of Cognition and Computing Symposium 20 4 2015 2015-04-20 https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html 2015 Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (SSAISB) COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University 2022-12-18T17:43:56.7243912 2018-08-14T15:44:58.5650586 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 Mohamed Mostafa 3 0043383-02092018070711.pdf aisb2015_submission7_cameraready.pdf 2018-09-02T07:07:11.4970000 Output 486832 application/pdf Accepted Manuscript true 2018-09-02T00:00:00.0000000 true eng |
title |
Digital Footprints: Envisaging and Analysing Online Behaviour |
spellingShingle |
Digital Footprints: Envisaging and Analysing Online Behaviour Tom Crick |
title_short |
Digital Footprints: Envisaging and Analysing Online Behaviour |
title_full |
Digital Footprints: Envisaging and Analysing Online Behaviour |
title_fullStr |
Digital Footprints: Envisaging and Analysing Online Behaviour |
title_full_unstemmed |
Digital Footprints: Envisaging and Analysing Online Behaviour |
title_sort |
Digital Footprints: Envisaging and Analysing Online Behaviour |
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200c66ef0fc55391f736f6e926fb4b99 |
author_id_fullname_str_mv |
200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick |
author |
Tom Crick |
author2 |
Giles Oatley Tom Crick Mohamed Mostafa |
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Conference Paper/Proceeding/Abstract |
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Social Aspects of Cognition and Computing Symposium |
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2015 |
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Swansea University |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies |
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https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html |
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description |
Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel way of representing personality traits (using the Five Factor model) with behavioural features (fantasy and profanity). We also present some preliminary ideas around developing a scalable solution to modelling behaviour using swear words. |
published_date |
2015-04-20T08:03:22Z |
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11.051368 |