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

Study of the effects of the LeWeb tech conferences using data collected from Twitter and the code sharing website GitHub.

Nesta Working Paper 15/13
Issued: August 2015
JEL codes: D85; L14; L17; C39; C59
Keywords: Social networks, data, social media, Twitter, conferences, events, GitHub, evaluation

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.

Authors

Bruce Cronin, Riccardo De Vita and Guido Conaldi of Greenwich Business School

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