Networks of action and events over time: a multilevel discrete-time event history model for longitudinal network data
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| Publication date | 2011 |
| Journal | Social Networks |
| Volume | Issue number | 33 | 1 |
| Pages (from-to) | 31-40 |
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| Abstract |
Longitudinal network data recording the moment at which ties appear, change, or disappear are increasingly available. Event history models can be used to analyze the dynamics of time-stamped network data. This paper adapts the discrete-time event history model to social network data. A discrete-time event history model can easily incorporate a multilevel design and time-varying covariates. A multilevel design is needed to account for dependencies among ties and vertices, which should not be ignored in a small longitudinal network. Time-varying covariates are required to analyze network effects, that is, the impact of previous ties. In addition, a discrete-time event history model handles constraints on who can act or who can be acted upon in a straightforward way. The model can be estimated with multilevel logistic regression analysis, which is illustrated by an application to book reviews, so network evolution can be analyzed with a fairly standard statistical tool.
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| Document type | Article |
| Note | NOTICE: this is the author’s version of a work that was accepted for publication in Social Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in "Networks of action and events over time. A multilevel discrete-time event history model for longitudinal network data", Social Networks, Volume 33, Issue 1, January 2011, Pages 31-40. http://dx.doi.org/10.1016/j.socnet.2010.09.003. |
| Language | English |
| Published at | https://doi.org/10.1016/j.socnet.2010.09.003 |
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