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ThinkMind // HUSO 2017, The Third International Conference on Human and Social Analytics // View article huso_2017_2_30_80033


An Analysis of the Collaborative Network Mechanism Based on the Dynamic Network

Authors:
Hyejin Lee
Seok-Hyoung Lee
Kwang-Young Kim

Keywords: Dynamic Network; Co-author Network; Stochastic Actor-Oriented Model

Abstract:
This ongoing research aims to explore factors contributing to collaboration in various time intervals using the stochastic actor-oriented model, a dynamic network analysis method. This model can be used to measure correlations between the consequences of an individual’s choice and the network structure in a time series, thereby permitting simultaneous observations of a network at the micro-level and macro-level. To accomplish the research purpose, three mechanisms related to collaboration were established as hypotheses based on the literature review: reciprocity, hierarchy, and similarity. These mechanisms were combined cumulatively to determine whether they were significant for collaboration. Accordingly, the results of a pilot experiment showed that reciprocity and similarity did not have significant effects individually across time intervals, but their explanatory power about collaborative relations increased when these two variables were used in combination.

Pages: 30 to 34

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2519-8351

ISBN: 978-1-61208-578-4

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017

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