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2012 | OriginalPaper | Chapter

Measuring the Influence of Network Structures on Social Interaction over Time

Author : Christoph Stadtfeld

Published in: Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Publisher: Springer Berlin Heidelberg

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Abstract

Communication decisions in networks can be described as a two-level decision process. The second decision about event receivers is a multinomial logistic regression model with an unknown vector of parameters. These parameters evaluate network structures that enforce or weaken the probability for choosing certain actors. However, in many cases those parameters may change over time. In this paper a sliding window approach is introduced, that can be used to understand whether there is evolution of behavior in an observed data set. For future work, it is proposed to develop a statistical test on normalized decision statistics.

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previous chapter Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter
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Literature
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Metadata
Title
Measuring the Influence of Network Structures on Social Interaction over Time
Author
Christoph Stadtfeld
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Print ISBN: 978-3-642-24465-0

Electronic ISBN: 978-3-642-24466-7

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-24466-7_32

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