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ID259
TitleShanghai Rotary Club: one-mode network of multiple attendance (1919-1920)
Year Start1919
Year End1920
DateSunday 15 September 2019
Description

This table provides the original dataset I used to build the one-mode network of multiple attendance at the meetings of the Shanghai Rotary Club under President Petit's term (1919-20). This network of events-events joined by persons results from the projection of the initial two-mode network of meeting attendance (see related data below), using the R package tnet (project_tm function) (Opsahl, 2008). In this network, nodes represent events (club meetings), whereas edges represents the attendees they have in common. Any edge links two events who share participants. The absence of ties reflects events that have no participants in common. Tie weight expresses the number of multiple participants (“sum” method), discounted for persons’ prominence and hyperactivity (Newman method).

The data in this table is presented as a four-column edge list. The first two columns contain connected nodes (events), while the third and four columns indicate tie weight, using two different methods (sum and Newman). Edges weights measure the number of shared participants that each pair of events have in common. In the “sum” projection, 1 means they have only one participant in common, 2 that they share two participants, and so on. In Newman projection, it is more complex since the method means to correct the negative effects of size variation – by discounting most important events that are more likely to be attended and therefore to share participants - than smaller events, and key officers that are more likely to attend compared to less active members, occasional guests and visitors.

The first sheet includes the edge list, and the second one contains the correspondance table between events' id, dates and attributes (type of event, topic of discussion). 

 

 

Keywordsclub ; Rotary ; Shanghai ; meeting ; one-mode network ; person ; event ; shared attendance ; projection ; weighted network ;
LanguageEnglish
Related data
Image

EEP_Petit_simp_w.xlsx (11.53 ko)

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