Abstract
A spatio-temporal cohesive network represents a social network in which people often interact closely in both space and time. Spatially and temporally close people tend to share information and show homogeneous behavior. We discuss modeling social networks from spatio-temporal human activity data, and alternative interest measures for estimating the strength of subgroup cohesion in spatial and temporal space. We present an algorithm for mining spatio-temporal cohesive networks.
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Yoo, J.S., Hwang, J. (2008). A Framework for Discovering Spatio-temporal Cohesive Networks. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2008. Lecture Notes in Computer Science(), vol 5012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68125-0_113
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DOI: https://doi.org/10.1007/978-3-540-68125-0_113
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