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Temporal fidelity in dynamic social networks
Name
Temporal_Fidelity_in_Dynamic_Social_Networks.pdf
Description
Accepted version
Size
2.36 MB
Format
Adobe PDF
Checksum (MD5)
e3da93e8065646fe838b2ba2aaf6ae1b
Author(s)
Stopczynski, Arkadiusz
Sapiezynski, Piotr
Pentland, Alex Sandy’
Lehmann, Sune
Date Issued
2015
Journal
The European Physical Journal B
Publisher
Springer Science and Business Media LLC
Citation
Stopczynski, Arkadiusz, et al. "Temporal Fidelity in Dynamic Social Networks." European Physical Journal B 88 10 (2015).
Version
Author's final manuscript
Abstract
© 2015, EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg. It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display patterns that emerge at multiple time scales, from minutes to months. On a fundamental level, understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. Here, we consider the dynamic network of proximity-interactions between approximately 500 individuals participating in the Copenhagen Networks Study. We show that in order to accurately model spreading processes in the network, the dynamic processes that occur on the order of minutes are essential and must be included in the analysis.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1140/epjb/e2015-60549-7
