Abstract

Online social network community now provides an enormous volume of data for analyzing human sentiment about people, places, events and political activities. It is becoming increasingly clear that analysis of such data can provide great insights on the social, political and cultural aspects of the participants of these networks. As part of the Minerva project, currently underway at Arizona State University, we have analyzed a large volume of Twitter data to understand radical political activity in the provinces of Indonesia. Based on analysis of radical/counter radical sentiments expressed in tweets by Twitter users, we create a Heat Map of Indonesia which visually demonstrates the degree of radical activities in various provinces of Indonesia. We create the Heat Map of Indonesia by computing (i) the Radicalization Index and (ii) the Location Index of each Twitter user from Indonesia, who has expressed some radical sentiment in her tweets. The conclusions derived from our analysis matches significantly with the analysis of Wahid Institute, a leading political think tank of Indonesia, thus validating our results.

Original languageEnglish (US)
Title of host publicationProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
Pages280-287
Number of pages8
DOIs
StatePublished - 2013
Event2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC, United States
Duration: Sep 8 2013Sep 14 2013

Other

Other2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
CountryUnited States
CityWashington, DC
Period9/8/139/14/13

Fingerprint

Recovery
Hot Temperature

Keywords

  • Heat map
  • Location index
  • Radical
  • Radicalization index
  • Tweet

ASJC Scopus subject areas

  • Software

Cite this

Mazumder, A., Das, A., Kim, N., Gokalp, S., Sen, A., & Davulcu, H. (2013). Spatio-temporal signal recovery from political tweets in Indonesia. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013 (pp. 280-287). [6693343] https://doi.org/10.1109/SocialCom.2013.46

Spatio-temporal signal recovery from political tweets in Indonesia. / Mazumder, Anisha; Das, Arun; Kim, Nyunsu; Gokalp, Sedat; Sen, Arunabha; Davulcu, Hasan.

Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 280-287 6693343.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mazumder, A, Das, A, Kim, N, Gokalp, S, Sen, A & Davulcu, H 2013, Spatio-temporal signal recovery from political tweets in Indonesia. in Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013., 6693343, pp. 280-287, 2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013, Washington, DC, United States, 9/8/13. https://doi.org/10.1109/SocialCom.2013.46
Mazumder A, Das A, Kim N, Gokalp S, Sen A, Davulcu H. Spatio-temporal signal recovery from political tweets in Indonesia. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 280-287. 6693343 https://doi.org/10.1109/SocialCom.2013.46
Mazumder, Anisha ; Das, Arun ; Kim, Nyunsu ; Gokalp, Sedat ; Sen, Arunabha ; Davulcu, Hasan. / Spatio-temporal signal recovery from political tweets in Indonesia. Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. pp. 280-287
@inproceedings{2966c040e52c4a23a73fbefc8ec6a304,
title = "Spatio-temporal signal recovery from political tweets in Indonesia",
abstract = "Online social network community now provides an enormous volume of data for analyzing human sentiment about people, places, events and political activities. It is becoming increasingly clear that analysis of such data can provide great insights on the social, political and cultural aspects of the participants of these networks. As part of the Minerva project, currently underway at Arizona State University, we have analyzed a large volume of Twitter data to understand radical political activity in the provinces of Indonesia. Based on analysis of radical/counter radical sentiments expressed in tweets by Twitter users, we create a Heat Map of Indonesia which visually demonstrates the degree of radical activities in various provinces of Indonesia. We create the Heat Map of Indonesia by computing (i) the Radicalization Index and (ii) the Location Index of each Twitter user from Indonesia, who has expressed some radical sentiment in her tweets. The conclusions derived from our analysis matches significantly with the analysis of Wahid Institute, a leading political think tank of Indonesia, thus validating our results.",
keywords = "Heat map, Location index, Radical, Radicalization index, Tweet",
author = "Anisha Mazumder and Arun Das and Nyunsu Kim and Sedat Gokalp and Arunabha Sen and Hasan Davulcu",
year = "2013",
doi = "10.1109/SocialCom.2013.46",
language = "English (US)",
isbn = "9780769551371",
pages = "280--287",
booktitle = "Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013",

}

TY - GEN

T1 - Spatio-temporal signal recovery from political tweets in Indonesia

AU - Mazumder, Anisha

AU - Das, Arun

AU - Kim, Nyunsu

AU - Gokalp, Sedat

AU - Sen, Arunabha

AU - Davulcu, Hasan

PY - 2013

Y1 - 2013

N2 - Online social network community now provides an enormous volume of data for analyzing human sentiment about people, places, events and political activities. It is becoming increasingly clear that analysis of such data can provide great insights on the social, political and cultural aspects of the participants of these networks. As part of the Minerva project, currently underway at Arizona State University, we have analyzed a large volume of Twitter data to understand radical political activity in the provinces of Indonesia. Based on analysis of radical/counter radical sentiments expressed in tweets by Twitter users, we create a Heat Map of Indonesia which visually demonstrates the degree of radical activities in various provinces of Indonesia. We create the Heat Map of Indonesia by computing (i) the Radicalization Index and (ii) the Location Index of each Twitter user from Indonesia, who has expressed some radical sentiment in her tweets. The conclusions derived from our analysis matches significantly with the analysis of Wahid Institute, a leading political think tank of Indonesia, thus validating our results.

AB - Online social network community now provides an enormous volume of data for analyzing human sentiment about people, places, events and political activities. It is becoming increasingly clear that analysis of such data can provide great insights on the social, political and cultural aspects of the participants of these networks. As part of the Minerva project, currently underway at Arizona State University, we have analyzed a large volume of Twitter data to understand radical political activity in the provinces of Indonesia. Based on analysis of radical/counter radical sentiments expressed in tweets by Twitter users, we create a Heat Map of Indonesia which visually demonstrates the degree of radical activities in various provinces of Indonesia. We create the Heat Map of Indonesia by computing (i) the Radicalization Index and (ii) the Location Index of each Twitter user from Indonesia, who has expressed some radical sentiment in her tweets. The conclusions derived from our analysis matches significantly with the analysis of Wahid Institute, a leading political think tank of Indonesia, thus validating our results.

KW - Heat map

KW - Location index

KW - Radical

KW - Radicalization index

KW - Tweet

UR - http://www.scopus.com/inward/record.url?scp=84893549015&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893549015&partnerID=8YFLogxK

U2 - 10.1109/SocialCom.2013.46

DO - 10.1109/SocialCom.2013.46

M3 - Conference contribution

SN - 9780769551371

SP - 280

EP - 287

BT - Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

ER -