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GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks Ceren Budak Theodore Georgiou Divyakant Agrawal Amr El Abbadi [removed] {teogeorgiou, agrawal, amr}@cs.ucsb.edu
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Document Date: 2013-11-07 15:10:21


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City

Madrid / Bandung / Austin / Liverpool / Tokyo / Santiago / Los Angeles / Cairo / Hangzhou / Nottingham / Jakarta / /

Company

3M / Twitter / Google / Creative Commons / Microsoft / /

Country

Chile / Egypt / Indonesia / Japan / China / India / /

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Event

Product Recall / Product Issues / Natural Disaster / /

Facility

Microsoft Research University of California / /

IndustryTerm

geo-trend detection tool / trend detection tool / Web users / crisis management / algorithmic tool / Internet advertising / online analysis / online detection / real large-scale social networks / data mining / textual data mining / streaming solution / online questionnaire / algorithmic solutions / feasible geo-trend detection solution / report algorithm / geotrend detection tool / basic geo-trend detection tool / important applications / approximate solution / online blogs / baseline solution / on-line solution / social networks / social network / window solution / social network analysis tools / trend detection solution / data streams solution / online trend detection problems / /

Organization

University of California / IDF / VLDB Endowment / Santa Barbara Department of Computer Science ABSTRACT / /

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Position

representative / judge / /

Product

GeoMap tool / GeoScope / values / guarantee / rate / GeoMap / /

ProgrammingLanguage

L / /

ProvinceOrState

California / /

Technology

4.2 GeoScope Operations Algorithm / report algorithm / API / data mining / /

URL

http /

SocialTag