Options
Simmelian Backbones: Amplifying Hidden Homophily in Facebook Networks
Date Issued
2013-08-28
Date Available
2016-04-04T11:51:51Z
Abstract
Empirical social networks are often aggregate proxies for several heterogeneous relations. In online social networks, for instance, interactions related to friendship, kinship, business, interests, and other relationships may all be represented as catchall 'friendships.' Because several relations are mingled into one, the resulting networks exhibit relatively high and uniform density. As a consequence, the variation in positional differences and local cohesion may be too small for reliable analysis. We introduce a method to identify the essential relationships in networks representing social interactions. Our method is based on a novel concept of triadic cohesion that is motivated by Simmel's concept of membership in social groups. We demonstrate that our Simmelian backbones are capable of extracting structure from Facebook interaction networks that makes them easy to visualize and analyze. Since all computations are local, the method can be restricted to partial networks such as ego networks, and scales to big data.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Deutsche Forschungsgemeinschaft
University of Konstanz
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2013 ACM
Keywords
Language
English
Status of Item
Peer reviewed
Part of
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '13)
Conference Details
2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 25-28 August 2013, Niagara Falls, Ontario, Canada
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
57
Acquisition Date
Apr 16, 2024
Apr 16, 2024
Views
1403
Acquisition Date
Apr 16, 2024
Apr 16, 2024
Downloads
926
Last Week
1
1
Last Month
7
7
Acquisition Date
Apr 16, 2024
Apr 16, 2024