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Retrospective relatedness reconstruction : applications to adaptive social networks and social sentiment

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Dionne, S. D., Akaishi, J., Chen, Xiujian, Gupta, A., Sayama, H., Yammarino, F. J., Serban, Andra, Hao, Chanyu, Head, H. J. and Bush, B. J. (2012) Retrospective relatedness reconstruction : applications to adaptive social networks and social sentiment. Organizational Research Methods, Volume 15 (Number 4). pp. 663-692. doi:10.1177/1094428112442572

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Official URL: http://dx.doi.org/10.1177/1094428112442572

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Abstract

Examination of temporally changing adaptive social networks has been difficult given the need for extensive and usually real-time data collection. Building from interdisciplinary advances, the authors propose a web search engine–based method (called retrospective relatedness reconstruction or 3R) for collecting approximated historical data of temporally changing adaptive social networks. As quantifying relatedness among people in social networks leads to difficulty in assigning proper weights to relationship ties, 3R offers a means for assessing relatedness between people over time. Additionally, 3R can be applied beyond people relatedness to include word associations. To illustrate these two novel contributions, the authors reconstructed the temporal evolution of a social network from 2005 to 2009 of 92 individuals (key leaders) related to the U.S. financial crisis and also examined the temporal evolution of social sentiment (i.e., fear, shame, blame, confidence) related to the same 92 individuals. We found several illustrative cases where temporal changes in centrality and/or sentiment captured actual events related to these individuals during this time period.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Organizational Research Methods
Publisher: Sage Publications Ltd.
ISSN: 1094-4281
Official Date: October 2012
Dates:
DateEvent
October 2012Published
Volume: Volume 15
Number: Number 4
Number of Pages: 29
Page Range: pp. 663-692
DOI: 10.1177/1094428112442572
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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