کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
326106 541929 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hierarchical models for relational event sequences
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Hierarchical models for relational event sequences
چکیده انگلیسی


• Methods are introduced for modeling collections of relational event sequences.
• Efficacy of the approach is demonstrated through prediction experiments.
• An application to high school classroom interactions illustrates the ability to compare dynamics across event sequences.

Interaction within small groups can often be represented as a sequence of events, each event involving a sender and a recipient. Recent methods for modeling network data in continuous time model the rate at which individuals interact conditioned on the previous history of events as well as actor covariates. We present a hierarchical extension for modeling multiple such sequences, facilitating inferences about event-level dynamics and their variation across sequences. The hierarchical approach allows one to share information across sequences in a principled manner—we illustrate the efficacy of such sharing through a set of prediction experiments. After discussing methods for adequacy checking and model selection for this class of models, the method is illustrated with an analysis of high school classroom dynamics from 297 sessions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Mathematical Psychology - Volume 57, Issue 6, December 2013, Pages 297–309
نویسندگان
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