Temporal motifs reveal homophily, gender-specific patterns, and group talk in call sequences
Abstract
Social ties are more common between individuals with similar traits, a feature known as homophily. Ties are also known to be stronger between individuals with multiple common acquaintances. Both of these two properties constrain the flow of information and ideas in social networks. We study time-dependent communication patterns in a large mobile phone communication dataset and show that both of these two properties are in fact stronger than can be observed in any static snapshot of a communication network. The methods developed to obtain these results can be used more generally to study various time-dependent networks.
- Publication:
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Proceedings of the National Academy of Science
- Pub Date:
- November 2013
- DOI:
- 10.1073/pnas.1307941110
- arXiv:
- arXiv:1302.2563
- Bibcode:
- 2013PNAS..11018070K
- Keywords:
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- Physics - Physics and Society;
- Computer Science - Social and Information Networks;
- Physics - Data Analysis;
- Statistics and Probability
- E-Print:
- 8 pages, 3 figures (SI: 20 pages, 18 figures)