Joining up the dots: Using social data to measure the effects of events on innovation
Cronin, Bruce ORCID: 0000-0002-3776-8924, De Vita, Riccardo and Conaldi, Guido ORCID: 0000-0003-3552-7307 (2015) Joining up the dots: Using social data to measure the effects of events on innovation. [Working Paper]
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Abstract
The paper studies the effects of the LeWeb tech conferences using data collected from the social media platform Twitter and the code sharing website GitHub. The extent to which attendance at the conference and other factors determined the patterns of tweeting among participants are examined. A group of attendants of the London LeWeb conference who did not attend the subsequent Paris event is used to assess the effects of LeWeb Paris. Conference attendees are matched to their corresponding profiles on GitHub to allow the effect on code collaboration to be examined. Permutation regression and Stochastic Actor Orientated Modelling (SAOM) are used to undertake a statistical evaluation of the changes in network.
Item Type: | Working Paper |
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Additional Information: | © 2015 by the author(s). Short sections of text, tables and figures may be reproduced without explicit permission provided that full credit is given to the source. The views expressed in this working paper are those of the author(s) and do not necessarily represent those of Nesta. |
Uncontrolled Keywords: | Social networks, data, social media, Twitter, conferences, events, GitHub, evaluation |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HF Commerce H Social Sciences > HM Sociology Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of International Business & Economics Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA) |
Related URLs: | |
Last Modified: | 11 Mar 2022 13:35 |
URI: | http://gala.gre.ac.uk/id/eprint/13843 |
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