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Rejoinder: DyNAMs and the Grounds for Actor-oriented Network Event Models
Sociological Methodology ( IF 2.4 ) Pub Date : 2017-08-01 , DOI: 10.1177/0081175017733457
Christoph Stadtfeld 1 , James Hollway 2 , Per Block 1
Affiliation  

Dynamic Event Processes in Social Networks. Karlsruhe, Germany: KIT Scientific. Tranmer, M., C. S. Marcum, F. B. Morton, D. P. Croft, and S. R. de Kort. 2015. “Using the Relational Event Model (REM) to Investigate the Temporal Dynamics of Animal Social Networks.” Animal Behaviour 101:99–105. Vu, D., A. Lomi, D. Mascia, and F. Pallotti. 2017. “Relational Event Models for Longitudinal Network Data with an Application to Interhospital Patient Transfers.” Statistics in Medicine 36(14):2265–87. Vu, D., P. Pattison, and G. Robins. 2015. “Relational Event Models for Social Learning in MOOCs.” Social Networks 43:121–35.

中文翻译:

反驳:Dynam 和面向 Actor 的网络事件模型的基础

社交网络中的动态事件过程。德国卡尔斯鲁厄:KIT Scientific。Tranmer, M.、CS Marcum、FB Morton、DP Croft 和 SR de Kort。2015. “使用关系事件模型 (REM) 调查动物社交网络的时间动态。” 动物行为 101:99-105。Vu, D.、A. Lomi、D. Mascia 和 F. Pallotti。2017 年。“纵向网络数据的关系事件模型与医院间患者转移的应用。” 医学统计学 36(14):2265-87。Vu、D.、P. Pattison 和 G. Robins。2015. “MOOC 中社会学习的关系事件模型”。社交网络 43:121-35。
更新日期:2017-08-01
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