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Joining up the dots: Using social data to measure the effects of events on innovation

Joining up the dots: Using social data to measure the effects of events on innovation

Cronin, Bruce, De Vita, Riccardo and Conaldi, Guido (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
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 / Department / Research Group: Faculty of Business
Faculty of Business > Centre for Business Network Analysis
Faculty of Business > Department of International Business & Economics
Related URLs:
Last Modified: 10 May 2017 11:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/13843

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