Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Junghoon Kim; Tao Guo; Kaiyu Feng; Gao Cong; Arijit Khan; Farhana M. Choudhury

doi:10.1145/3318464.3380603

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Junghoon Kim
, Tao Guo
, Kaiyu Feng
, Gao Cong
, Arijit Khan
, Farhana M. Choudhury

Nanyang Technological University
Google LLC, Asia Pacific
University of Melbourne

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
Publisher	Association for Computing Machinery
Pages	2199-2209
Number of pages	11
ISBN (Electronic)	9781450367356
DOIs	https://doi.org/10.1145/3318464.3380603
State	Published - Jun 14 2020
Externally published	Yes
Event	2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 - Portland, United States Duration: Jun 14 2020 → Jun 19 2020

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Conference

Conference	2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020
Country/Territory	United States
City	Portland
Period	6/14/20 → 6/19/20

ASJC Scopus Subject Areas

Software
Information Systems

Keywords

community search
location-based social network analysis

Access to Document

10.1145/3318464.3380603

Cite this

Kim, J., Guo, T., Feng, K., Cong, G., Khan, A., & Choudhury, F. M. (2020). Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. In SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (pp. 2199-2209). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3318464.3380603

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. / Kim, Junghoon; Guo, Tao; Feng, Kaiyu et al.
SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2020. p. 2199-2209 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, J, Guo, T, Feng, K, Cong, G, Khan, A & Choudhury, FM 2020, Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. in SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery, pp. 2199-2209, 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020, Portland, United States, 6/14/20. https://doi.org/10.1145/3318464.3380603

Kim J, Guo T, Feng K, Cong G, Khan A, Choudhury FM. Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. In SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery. 2020. p. 2199-2209. (Proceedings of the ACM SIGMOD International Conference on Management of Data). doi: 10.1145/3318464.3380603

Kim, Junghoon ; Guo, Tao ; Feng, Kaiyu et al. / Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2020. pp. 2199-2209 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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author = "Junghoon Kim and Tao Guo and Kaiyu Feng and Gao Cong and Arijit Khan and Choudhury, \{Farhana M.\}",

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Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this