research-article

Spatial-social network visualization for exploratory data analysis

Authors:

Alan M. MacEachren,

Frank HardistyAuthors Info & Claims

LBSN '11: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks

Pages 65 - 68

https://doi.org/10.1145/2063212.2063216

Published: 01 November 2011 Publication History

Abstract

There has been considerable interest in applying social network analysis methods to geographically embedded networks such as population migration and international trade. However, research is hampered by a lack of support for exploratory spatial-social network analysis in integrated tools. To bridge the gap, this research introduces a spatial-social network visualization tool, the GeoSocialApp, that supports the exploration of spatial-social networks among network, geographical, and attribute spaces. It also supports exploration of network attributes from community-level (clustering) to individual-level (network node measures). Using an international trade case study, this research shows that mixed methods --- computational and visual --- can enable discovery of complex patterns in large spatial-social network datasets in an effective and efficient way.

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Cited By

Wu ZLiu SZhou YXu TPan JZhou ZChen WWang F(2024)VIEA: A Visualization System for Industrial Economics Analysis Based on Trade DataIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328867111:2(2807-2818)Online publication date: Apr-2024
https://doi.org/10.1109/TCSS.2023.3288671
Luo WYuan M(2021)Identifying temporal patterns of multilateral spatial interactions: Using international trades as an exampleTransactions in GIS10.1111/tgis.1274525:4(1888-1909)Online publication date: 30-Mar-2021
https://doi.org/10.1111/tgis.12745
Schöttler SYang YPfister HBach B(2021)Visualizing and Interacting with Geospatial Networks: A Survey and Design SpaceComputer Graphics Forum10.1111/cgf.1419840:6(5-33)Online publication date: 9-Apr-2021
https://doi.org/10.1111/cgf.14198
Show More Cited By

Index Terms

Spatial-social network visualization for exploratory data analysis
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Information

Published In

cover image ACM Conferences

LBSN '11: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks

November 2011

103 pages

ISBN:9781450310338

DOI:10.1145/2063212

General Chairs:
Christian S. Jensen
Aarhus University, Denmark
,
Wang-Chien Lee
Pennsylvania State University
,
Program Chairs:
Yu Zheng
Microsoft Research Asia, China
,
Mohamed F. Mokbel
University of Minnesota

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

In-Cooperation

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2011

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Funding Sources

U.S. Department of Homeland Security

Conference

GIS '11

Sponsor:

SIGSPATIAL

GIS '11: 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 1, 2011

Illinois, Chicago

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Overall Acceptance Rate 8 of 15 submissions, 53%

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Citations

Cited By

Wu ZLiu SZhou YXu TPan JZhou ZChen WWang F(2024)VIEA: A Visualization System for Industrial Economics Analysis Based on Trade DataIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328867111:2(2807-2818)Online publication date: Apr-2024
https://doi.org/10.1109/TCSS.2023.3288671
Luo WYuan M(2021)Identifying temporal patterns of multilateral spatial interactions: Using international trades as an exampleTransactions in GIS10.1111/tgis.1274525:4(1888-1909)Online publication date: 30-Mar-2021
https://doi.org/10.1111/tgis.12745
Schöttler SYang YPfister HBach B(2021)Visualizing and Interacting with Geospatial Networks: A Survey and Design SpaceComputer Graphics Forum10.1111/cgf.1419840:6(5-33)Online publication date: 9-Apr-2021
https://doi.org/10.1111/cgf.14198
Li MGao SLu FLiu KZhang HTu W(2021)Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networksInternational Journal of Geographical Information Science10.1080/13658816.2021.1912347(1-28)Online publication date: 20-Apr-2021
https://doi.org/10.1080/13658816.2021.1912347
Kim SJeong SWoo IJang YMaciejewski REbert D(2018)Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory InformationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.266614624:3(1287-1300)Online publication date: 1-Mar-2018
https://doi.org/10.1109/TVCG.2017.2666146
Yang CJensen IRosen P(2018)A multiscale approach to network event identification using geolocated twitter dataComputing10.1007/s00607-013-0285-596:1(3-13)Online publication date: 31-Dec-2018
https://dl.acm.org/doi/10.1007/s00607-013-0285-5
Luo WWang YLiu XGao S(2018)Cities as Spatial and Social Networks: Towards a Spatio-Socio-Semantic Analysis FrameworkCities as Spatial and Social Networks10.1007/978-3-319-95351-9_3(21-37)Online publication date: 25-Jul-2018
https://doi.org/10.1007/978-3-319-95351-9_3
Gao SChen HLuo WHu YYe X(2018)Spatio-Temporal-Network Visualization for Exploring Human Movements and Interactions in Physical and Virtual SpacesHuman Dynamics Research in Smart and Connected Communities10.1007/978-3-319-73247-3_4(67-80)Online publication date: 14-Feb-2018
https://doi.org/10.1007/978-3-319-73247-3_4
Luo WYin PDi QHardisty FMacEachren A(2014)A Geovisual Analytic Approach to Understanding Geo-Social Relationships in the International Trade NetworkPLoS ONE10.1371/journal.pone.00886669:2(e88666)Online publication date: 18-Feb-2014
https://doi.org/10.1371/journal.pone.0088666

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