STEvent: Spatio-Temporal Event Model for Social Network Discovery

Spatio-temporal data concerning the movement of individuals over space and time contains latent information on the associations among these individuals. Sources of spatio-temporal data include usage logs of mobile and Internet technologies. This article defines a spatio-temporal event by the co-occu...

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Main Authors: LAUW, Hady W., LIM, Ee Peng, PANG, Hwee Hwa, TAN, Teck-Tim
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/sis_research/782
https://ink.library.smu.edu.sg/context/sis_research/article/1781/viewcontent/Spatio_Temporal_Event_Model_for_Social_Network_Discovery__edited_.pdf
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spelling sg-smu-ink.sis_research-17812017-07-11T13:02:52Z STEvent: Spatio-Temporal Event Model for Social Network Discovery LAUW, Hady W. LIM, Ee Peng PANG, Hwee Hwa TAN, Teck-Tim Spatio-temporal data concerning the movement of individuals over space and time contains latent information on the associations among these individuals. Sources of spatio-temporal data include usage logs of mobile and Internet technologies. This article defines a spatio-temporal event by the co-occurrences among individuals that indicate potential associations among them. Each spatio-temporal event is assigned a weight based on the precision and uniqueness of the event. By aggregating the weights of events relating two individuals, we can determine the strength of association between them. We conduct extensive experimentation to investigate both the efficacy of the proposed model as well as the computational complexity of the proposed algorithms. Experimental results on three real-life spatio-temporal datasets cross-validate each other, lending greater confidence on the reliability of our proposed model. 2010-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/782 info:doi/10.1145/1777432.1777438 https://ink.library.smu.edu.sg/context/sis_research/article/1781/viewcontent/Spatio_Temporal_Event_Model_for_Social_Network_Discovery__edited_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Data mining Social network Spatio-temporal databases Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Data mining
Social network
Spatio-temporal databases
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Data mining
Social network
Spatio-temporal databases
Databases and Information Systems
Numerical Analysis and Scientific Computing
LAUW, Hady W.
LIM, Ee Peng
PANG, Hwee Hwa
TAN, Teck-Tim
STEvent: Spatio-Temporal Event Model for Social Network Discovery
description Spatio-temporal data concerning the movement of individuals over space and time contains latent information on the associations among these individuals. Sources of spatio-temporal data include usage logs of mobile and Internet technologies. This article defines a spatio-temporal event by the co-occurrences among individuals that indicate potential associations among them. Each spatio-temporal event is assigned a weight based on the precision and uniqueness of the event. By aggregating the weights of events relating two individuals, we can determine the strength of association between them. We conduct extensive experimentation to investigate both the efficacy of the proposed model as well as the computational complexity of the proposed algorithms. Experimental results on three real-life spatio-temporal datasets cross-validate each other, lending greater confidence on the reliability of our proposed model.
format text
author LAUW, Hady W.
LIM, Ee Peng
PANG, Hwee Hwa
TAN, Teck-Tim
author_facet LAUW, Hady W.
LIM, Ee Peng
PANG, Hwee Hwa
TAN, Teck-Tim
author_sort LAUW, Hady W.
title STEvent: Spatio-Temporal Event Model for Social Network Discovery
title_short STEvent: Spatio-Temporal Event Model for Social Network Discovery
title_full STEvent: Spatio-Temporal Event Model for Social Network Discovery
title_fullStr STEvent: Spatio-Temporal Event Model for Social Network Discovery
title_full_unstemmed STEvent: Spatio-Temporal Event Model for Social Network Discovery
title_sort stevent: spatio-temporal event model for social network discovery
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/782
https://ink.library.smu.edu.sg/context/sis_research/article/1781/viewcontent/Spatio_Temporal_Event_Model_for_Social_Network_Discovery__edited_.pdf
_version_ 1770570710856499200