Abstract
In recent years we have witnessed a flourish of location-based social media. Across the world, individuals share their footprints, opinions, experiences, and contribute assorted forms of location-specific multimedia contents through location-enabled smart phones. Such examples include Foursquare, Gowalla, Facebook Place, etc, which are collectively termed as location-based social networks (LBSNs). The boom in LBSNs opens up a vast range of possibilities to study location-oriented human interactions and collective behaviors on an unprecedented scale. In LBSNs, interactions are typically heterogeneous, representing disparate relations among multiple entities, while at the same time, they may contain no or limited user relationship information. In this chapter, we aim to detect and understand social communities in LBSNs by representing the heterogeneous interactions with a multimodality nonuniform hypergraph. Here, the vertices of the hypergraph are users, venues, textual comments, or photos and the hyperedges characterize the k-partite heterogeneous interactions such as posting certain comments or uploading certain photos while visiting certain places. We then view each detected social community as a dense subgraph within the heterogeneous hypergraph, where the user community is constructed by the vertices and edges in the dense subgraph and the profile of the community is characterized by the vertices related with venues, comments, and photos and their inter-relations. We present an efficient algorithm to detect the overlapped dense subgraphs, where the profile of each social community is guaranteed to be available by constraining the minimal number of vertices in each modality.
Erratum to this chapter is available at DOI 10.1007/978-3-319-05491-9_11
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-05491-9_11
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Notes
- 1.
A check-in is a users status message in LBSNs with the purpose of letting friends/public know her current location.
- 2.
For example, a tip left at an art museum may recommend a special exhibition or give positive/negative comments on the museum environment.
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There is no explicit groups defined in Foursquare.
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Please refer to the online appendix for the complete list of top ten communities at the global scale.
- 13.
Chicken rice is one of the famous local delights in Singapore.
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Zhao, YL., Chen, Q., Yan, S., Zhang, D., Chua, TS. (2014). Community Understanding in Location-based Social Networks. In: Fu, Y. (eds) Human-Centered Social Media Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-05491-9_3
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