Modelling contact mode and frequency of interactions with social network members using the multiple discrete-continuous extreme value model

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• 作者：Chiara Calastri^a ; Stephane Hess^a ; ^{s.hess@its.leeds.ac.uk} ; Andrew Daly^a ; Michael Maness^b ; Matthias Kowald^c ; Kay Axhausen^d
• 关键词：Social network analysis ; Multiple discrete continuous ; Snowball sample
• 刊名：Transportation Research Part C: Emerging Technologies
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：76
• 期：Complete
• 页码：16-34
• 全文大小：778 K
• 卷排序：76

文摘

We propose an applyication of the multiple discrete continuous model (MDCEV) to the social interactions among socially connected individuals. Characteristics of pairs of social contacts are found to be more relevant than individual socio demographics and dyad-level measures to explain mode and frequency of interaction. A strong preference for face-to-face suggests confirms relevance of social networks for travel.