“Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data

Delineating regional boundaries for places has a long tradition in geography, urban analysis and regional planning. Its theoretical basis may be traced back to the central place theory. The normative approach, using spatial interaction models, has been used, and the empirical approach, using commuti...

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Bibliographic Details
Main Authors: David W. S. Wong, Qunying Huang
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/6/11/325
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spelling doaj-85938180680f4ca59ab996d9487ce7922020-11-25T00:56:09ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-10-0161132510.3390/ijgi6110325ijgi6110325“Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media DataDavid W. S. Wong0Qunying Huang1Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USADepartment of Geography, University of Wisconsin-Madison, Madison, WI 53706, USADelineating regional boundaries for places has a long tradition in geography, urban analysis and regional planning. Its theoretical basis may be traced back to the central place theory. The normative approach, using spatial interaction models, has been used, and the empirical approach, using commuting data, is also popular. While gathering commuting data using traditional methodologies (e.g., surveys) is costly, data capturing people’s locations and their thoughts, are widely available through social media platforms. This article demonstrates that Twitter data can be used to delineate boundaries among competing places. A generic approach based on the density of place names mentioned in geo-tagged tweets was proposed to reflect the sphere of influence or dominance of places. Locations with the same levels of influence from competing places constitute the boundaries delineating the regions dominated by the respective places. The method was tested to determine the boundaries between two metropolitan regions, two local cities, and two neighborhoods or communities. Results from these simple case studies demonstrated the validity of the general approach for evaluating existing place boundaries and determining boundaries if they have not been delineated. The method is applicable to different levels of the place hierarchy and has practical values for planning of places of different sizes.https://www.mdpi.com/2220-9964/6/11/325community boundaryTwittercyberspaceplaceregion
collection DOAJ
language English
format Article
sources DOAJ
author David W. S. Wong
Qunying Huang
spellingShingle David W. S. Wong
Qunying Huang
“Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
ISPRS International Journal of Geo-Information
community boundary
Twitter
cyberspace
place
region
author_facet David W. S. Wong
Qunying Huang
author_sort David W. S. Wong
title “Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
title_short “Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
title_full “Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
title_fullStr “Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
title_full_unstemmed “Voting with Their Feet”: Delineating the Sphere of Influence Using Social Media Data
title_sort “voting with their feet”: delineating the sphere of influence using social media data
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2017-10-01
description Delineating regional boundaries for places has a long tradition in geography, urban analysis and regional planning. Its theoretical basis may be traced back to the central place theory. The normative approach, using spatial interaction models, has been used, and the empirical approach, using commuting data, is also popular. While gathering commuting data using traditional methodologies (e.g., surveys) is costly, data capturing people’s locations and their thoughts, are widely available through social media platforms. This article demonstrates that Twitter data can be used to delineate boundaries among competing places. A generic approach based on the density of place names mentioned in geo-tagged tweets was proposed to reflect the sphere of influence or dominance of places. Locations with the same levels of influence from competing places constitute the boundaries delineating the regions dominated by the respective places. The method was tested to determine the boundaries between two metropolitan regions, two local cities, and two neighborhoods or communities. Results from these simple case studies demonstrated the validity of the general approach for evaluating existing place boundaries and determining boundaries if they have not been delineated. The method is applicable to different levels of the place hierarchy and has practical values for planning of places of different sizes.
topic community boundary
Twitter
cyberspace
place
region
url https://www.mdpi.com/2220-9964/6/11/325
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