… queries has emerging applications in location-based social … will grow from $8.12 billion
in 2014 to $39.87 billion in 2019. … using sparse geo-social networking data. In SIGSPATIAL, …

… the aggregate nearest neighbor query are based on a spatial … the R-tree in all our proposed
algorithms to speed up spatial … presented in Subsect. 3.2 can efficiently reduce the search …

… the spatial object in region R, and we consider the aggregate … category, the query find
the optimal location based on one or … How to use social media data to achieve a better …

… User community preference in Location-Based Social Networks (… algorithm are provided to
analyze the performance of spatial … For PQA, aR-tree (aggregate-R-tree) is used instead of R-…

… (LBSNs) (Zheng 2015). Due to the increasing importance of … in a network (aka network
embedding) (Perozzi et al. 2014; … and locations in the same vector space. —We characterize multi-…

… of spatial aspect in a location-based social networking … Zhang and Chow [125] further explore
the geographical influences in … the user similarity measure framework presented in [56] by …

… data, consisting of spatial, textual, and social information, to be … One year later, Zheng [8]
refined this definition by stating that … and sharing functionalities provided by social networks, …

… , 2014, pp. 165–194. [7] H. … social strength from spatiotemporal data,” in SIGMOD, 2013,
pp. 265–276. … Zhang, “Social media account linkage using user-generated geo-location data,…

… This thesis has been submitted for assessment in partial … and nearest locations are termed
aggregate primitives. … the query performance of GSG with a Hadoop based spatial data …

… al. in [22], where they presented the GeoSocial Community … the socio-spatial group
score, our proposed CLS query … cohesiveness constraint, we aggregate the co-engagement …