Temporal fidelity in dynamic social networks
Name
Temporal fidelity in dynamic social networks.pdf
Size
3.19 MB
Format
Adobe PDF
Checksum (MD5)
fb3e4a161072547b8bcfaa91c0dbdd22
Author(s) • • •
Stopczynski, Arkadiusz
Sapiezynski, Piotr
Pentland, Alex
Lehmann, Sune
Date Issued
October 7, 2015
Publisher
The European Physical Journal B
Citation
Stopczynski, A., Sapiezynski, P., Pentland, A., & Lehmann, S. (2015). Temporal fidelity in dynamic social networks. The European Physical Journal B, 88(10), 1-6.
Abstract
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.
MIT Department
MIT Connection Science (Research institute)
Terms of Use
Attribution-NonCommercial-ShareAlike 3.0 United States
Persistent DSpace Link