@inproceedings{Nick2013Simme-25994,
  year={2013},
  doi={10.1145/2492517.2492569},
  title={Simmelian Backbones : Amplifying Hidden Homophily in Facebook Networks},
  isbn={978-1-4503-2240-9},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13},
  pages={525--532},
  author={Nick, Bobo and Lee, Conrad and Cunningham, Pádraig and Brandes, Ulrik}
}

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    <dc:creator>Brandes, Ulrik</dc:creator>
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    <dcterms:abstract xml:lang="eng">Empirical social networks are often aggregate prox- ies 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.</dcterms:abstract>
    <dc:creator>Cunningham, Pádraig</dc:creator>
    <dc:creator>Nick, Bobo</dc:creator>
    <dc:creator>Lee, Conrad</dc:creator>
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    <dc:contributor>Nick, Bobo</dc:contributor>
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    <dcterms:title>Simmelian Backbones : Amplifying Hidden Homophily in Facebook Networks</dcterms:title>
    <dc:contributor>Brandes, Ulrik</dc:contributor>
    <dc:contributor>Lee, Conrad</dc:contributor>
    <dcterms:bibliographicCitation>Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ; August 25 - 29, 2013, Niagara, ON, Canada  / Jon Rokne ... . - New York : ACM, 2013. - S. 525-532. - ISBN 978-1-4503-2240-9</dcterms:bibliographicCitation>
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