SensePlace3: a geovisual framework to analyze place–time–attribute information in social media

Scott Pezanowski, Alan Maceachren, Alexander Savelyev, Anthony C. Robinson

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources.

Original languageEnglish (US)
Pages (from-to)420-437
Number of pages18
JournalCartography and Geographic Information Science
Volume45
Issue number5
DOIs
StatePublished - Sep 3 2018

Fingerprint

social media
geography
crisis management
Pipelines
twitter
indexing
flexibility
Processing
event
ability
management
Geography
Social media

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Management of Technology and Innovation

Cite this

@article{5ffdf5f437b949dab934115cfcfd78a0,
title = "SensePlace3: a geovisual framework to analyze place–time–attribute information in social media",
abstract = "SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources.",
author = "Scott Pezanowski and Alan Maceachren and Alexander Savelyev and Robinson, {Anthony C.}",
year = "2018",
month = "9",
day = "3",
doi = "10.1080/15230406.2017.1370391",
language = "English (US)",
volume = "45",
pages = "420--437",
journal = "Cartography and Geographic Information Science",
issn = "1523-0406",
publisher = "American Congress on Surveying and Mapping",
number = "5",

}

SensePlace3 : a geovisual framework to analyze place–time–attribute information in social media. / Pezanowski, Scott; Maceachren, Alan; Savelyev, Alexander; Robinson, Anthony C.

In: Cartography and Geographic Information Science, Vol. 45, No. 5, 03.09.2018, p. 420-437.

Research output: Contribution to journalArticle

TY - JOUR

T1 - SensePlace3

T2 - a geovisual framework to analyze place–time–attribute information in social media

AU - Pezanowski, Scott

AU - Maceachren, Alan

AU - Savelyev, Alexander

AU - Robinson, Anthony C.

PY - 2018/9/3

Y1 - 2018/9/3

N2 - SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources.

AB - SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources.

UR - http://www.scopus.com/inward/record.url?scp=85029416722&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85029416722&partnerID=8YFLogxK

U2 - 10.1080/15230406.2017.1370391

DO - 10.1080/15230406.2017.1370391

M3 - Article

AN - SCOPUS:85029416722

VL - 45

SP - 420

EP - 437

JO - Cartography and Geographic Information Science

JF - Cartography and Geographic Information Science

SN - 1523-0406

IS - 5

ER -