research-article

Discovery of user behavior patterns from geo-tagged micro-blogs

Authors:

Tatsuya Fujisaka,

Kazutoshi SumiyaAuthors Info & Claims

ICUIMC '10: Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

Article No.: 36, Pages 1 - 10

https://doi.org/10.1145/2108616.2108660

Published: 14 January 2010 Publication History

Abstract

The explosive growth of micro-blogging sites such as Twitter has enabled folks to share their personal up-to-dates. Compared to conventional blog sites, through the short length of messages, micro-blogging sites help users easily express their experiences, thoughts and feelings and share them instantly and globally. In addition, mobile devices based micro-blogging applications are ensuring the usefulness in a variety of our daily activities without spatial or temporal restriction. Especially, the most significant characteristics chiefly possible in such mobile micro-blogging is on the fact that the cutting-edge smartphones can utilize location sensing information that make it clear to analyze where the published messages are made almost in real time. In the respect of the diversity and the quantity of crowds writing the micro-blogs, we are sure that the micro-blogging sites can be a very important social media platform where a lot of valuable knowledge such as geographic social phenomena can be extracted. In this paper, we endeavor to find geographic social patterns from user movement histories made by mass mobile micro-bloggers. We particularly propose fundamental models based on aggregation and dispersion about movements of micro-bloggers in geographic regions. We also performed experiments to discover geographic characteristics from the micro-blog data actually gathered from Twitter.

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Tatsuya Fujisaka, Ryong Lee, and Kazutoshi Sumiya Exploring Regional Characteristics Using the Movement History of Mass Mobile Microbloggers DBS, (2009)

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Digital Library

Cited By

Hollander JStephens N(2023)Site SelectionBuildings for People10.1002/9781119846604.ch5(69-98)Online publication date: 23-Jun-2023
https://doi.org/10.1002/9781119846604.ch5
Cheng SHuang ZPan HWang SGe X(2022)Comparative Study of Park Evaluation Based on Text Analysis of Social Media: A Case Study of 50 Popular Parks in BeijingSustainability10.3390/su14191274114:19(12741)Online publication date: 6-Oct-2022
https://doi.org/10.3390/su141912741
Ma YLing CWu J(2020)Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media TextsISPRS International Journal of Geo-Information10.3390/ijgi90804659:8(465)Online publication date: 22-Jul-2020
https://doi.org/10.3390/ijgi9080465
Show More Cited By

Index Terms

Discovery of user behavior patterns from geo-tagged micro-blogs
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information systems applications
    1. Spatial-temporal systems

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Published In

cover image ACM Conferences

ICUIMC '10: Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

January 2010

550 pages

ISBN:9781605588933

DOI:10.1145/2108616

Conference Chairs:
Kwan-Ho You
Sungkyunkwan University, Korea
,
Sang-Won Lee
Sungkyunkwan University, Korea
,
General Chairs:
Won Kim
Sungkyunkwan University, Korea
,
Dongho Won
SungKyunkwan University, Korea

Copyright © 2010 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]

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SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data

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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 January 2010

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Ministry of Education, Culture, Sports, Science, and Technology

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ICUIMC '10

Sponsor:

SIGKDD

ICUIMC '10: The 4th International Conference on Ubiquitous Information Management and Communication

January 14 - 15, 2010

Suwon, Republic of Korea

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Overall Acceptance Rate 251 of 941 submissions, 27%

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Citations

Cited By

Hollander JStephens N(2023)Site SelectionBuildings for People10.1002/9781119846604.ch5(69-98)Online publication date: 23-Jun-2023
https://doi.org/10.1002/9781119846604.ch5
Cheng SHuang ZPan HWang SGe X(2022)Comparative Study of Park Evaluation Based on Text Analysis of Social Media: A Case Study of 50 Popular Parks in BeijingSustainability10.3390/su14191274114:19(12741)Online publication date: 6-Oct-2022
https://doi.org/10.3390/su141912741
Ma YLing CWu J(2020)Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media TextsISPRS International Journal of Geo-Information10.3390/ijgi90804659:8(465)Online publication date: 22-Jul-2020
https://doi.org/10.3390/ijgi9080465
Duan JZhai WCheng C(2020)Crowd Detection in Mass Gatherings Based on Social Media Data: A Case Study of the 2014 Shanghai New Year’s Eve StampedeInternational Journal of Environmental Research and Public Health10.3390/ijerph1722864017:22(8640)Online publication date: 20-Nov-2020
https://doi.org/10.3390/ijerph17228640
Wang XGu TLuo XCai XLao TChen WWu YYu JChen W(2019)A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating TrajectoriesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2018.287502120:9(3375-3385)Online publication date: Sep-2019
https://doi.org/10.1109/TITS.2018.2875021
Saeed ZAbbasi RMaqbool OSadaf ARazzak IDaud AAljohani NXu G(2019)What's Happening Around the World? A Survey and Framework on Event Detection Techniques on TwitterJournal of Grid Computing10.1007/s10723-019-09482-217:2(279-312)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s10723-019-09482-2
Tiwari DKumar M(2019)Social Media Data Mining Techniques: A SurveyInformation and Communication Technology for Sustainable Development10.1007/978-981-13-7166-0_18(183-194)Online publication date: 26-Jun-2019
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Kovacs-Györi ARistea AKolcsar RResch BCrivellari ABlaschke T(2018)Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter DataISPRS International Journal of Geo-Information10.3390/ijgi70903787:9(378)Online publication date: 14-Sep-2018
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Haris EGan K(2018)Framework of blog data based multi-criteria weighted points of interest graph for trip planningIntelligent Decision Technologies10.3233/IDT-17032112:1(39-48)Online publication date: 7-Mar-2018
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Marshall AButsic VHarte J(2018)The Phenology of Wilderness Use: Backcountry Recreation in a Changing ClimateWeather, Climate, and Society10.1175/WCAS-D-17-0087.110:2(209-223)Online publication date: Apr-2018
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