Analyzing Temporal Networks in Social Media. Holme, P. Proceedings of the IEEE, 102(12):1922--1933, December, 2014. doi abstract bibtex Many types of social media metadata come in forms of temporal networks, networks where we have information about not only who is in contact with whom but also when contacts happen. In this paper, we review methods to analyze temporal networks developed in the last few years applied to social media data. These methods seek to identify important spreaders and, in more generality, how the temporal and topological structure of interaction affects spreading processes.
@article{holme_analyzing_2014,
title = {Analyzing {Temporal} {Networks} in {Social} {Media}},
volume = {102},
issn = {0018-9219},
doi = {10.1109/JPROC.2014.2361326},
abstract = {Many types of social media metadata come in forms of temporal networks, networks where we have information about not only who is in contact with whom but also when contacts happen. In this paper, we review methods to analyze temporal networks developed in the last few years applied to social media data. These methods seek to identify important spreaders and, in more generality, how the temporal and topological structure of interaction affects spreading processes.},
number = {12},
journal = {Proceedings of the IEEE},
author = {Holme, P.},
month = dec,
year = {2014},
keywords = {Complex networks, Information analysis, Internet, Media, Network analysis, Semantics, Social network services, data analysis, meta data, social media metadata, social networking (online), spreading process, temporal networks, temporal networks analysis, temporal structure, topological structure},
pages = {1922--1933}
}
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