Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification Article Swipe

PDF

Yi Han , Shanika Karunasekera , Christopher Leckie , Aaron Harwood ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.48550/arxiv.1906.05063

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in multi-spatial level event detection from geo-tagged tweet streams. Specifically, in this paper we (1) examine the statistical characteristic for the time series of the number of geo-tagged tweets posted from specific regions during a short time interval, e.g., ten seconds or one minute; (2) verify from over thirty datasets that while almost all such time series exhibit self-similarity, those that correspond to events, especially short-term and unplanned outbursts, follow a power-law distribution; (3) demonstrate that these findings can be applied to facilitate event detection from tweet streams. We propose two algorithms---Power-law basic and Power-law advanced, where Power-law basic only checks the existence of power-law distributions in the time series from tweet streams at multi-spatial scales, without looking into the content of each tweet, and Power-law advanced integrates power-law verification with semantic analysis via word embedding. Our experiments on multiple datasets show that by considering spatio-temporal statistical distributions of tweets alone, the seemingly naive algorithm of Power-law basic achieves comparable results with more advanced event detection methods, while the semantic analysis enhanced version, Power-law advanced, can significantly increase both the precision and the recall.

Related Topics

Theoretical Computer Science

Artificial Intelligence

Concepts

Computer science Event (particle physics) Data mining Word embedding STREAMS Scale (ratio) Power (physics) Word (group theory) Similarity (geometry) Law Theoretical computer science Embedding Artificial intelligence Image (mathematics) Mathematics Geography Cartography Computer network Political science Geometry Quantum mechanics Physics

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/1906.05063
PDF: https://arxiv.org/pdf/1906.05063
OA Status: green
Cited By: 1
References: 28
Related Works: 10
OpenAlex ID: https://openalex.org/W2969222228

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W2969222228

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.1906.05063

Digital Object Identifier
Title: Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2019

Year of publication
Publication date: 2019-06-12

Full publication date if available
Authors: Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood

List of authors in order
Landing page: https://arxiv.org/abs/1906.05063

Publisher landing page
PDF URL: https://arxiv.org/pdf/1906.05063

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/1906.05063

Direct OA link when available
Concepts: Computer science, Event (particle physics), Data mining, Word embedding, STREAMS, Scale (ratio), Power (physics), Word (group theory), Similarity (geometry), Law, Theoretical computer science, Embedding, Artificial intelligence, Image (mathematics), Mathematics, Geography, Cartography, Computer network, Political science, Geometry, Quantum mechanics, Physics

Top concepts (fields/topics) attached by OpenAlex
Cited by: 1

Total citation count in OpenAlex
Citations by year (recent): 2021: 1

Per-year citation counts (last 5 years)
References (count): 28

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W2969222228
doi	https://doi.org/10.48550/arxiv.1906.05063
ids.doi	https://doi.org/10.48550/arxiv.1906.05063
ids.mag	2969222228
ids.openalex	https://openalex.org/W2969222228
fwci
type	preprint
title	Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10064
topics[0].field.id	https://openalex.org/fields/31
topics[0].field.display_name	Physics and Astronomy
topics[0].score	0.9995999932289124
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/3109
topics[0].subfield.display_name	Statistical and Nonlinear Physics
topics[0].display_name	Complex Network Analysis Techniques
topics[1].id	https://openalex.org/T13083
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.995199978351593
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1702
topics[1].subfield.display_name	Artificial Intelligence
topics[1].display_name	Advanced Text Analysis Techniques
topics[2].id	https://openalex.org/T12592
topics[2].field.id	https://openalex.org/fields/31
topics[2].field.display_name	Physics and Astronomy
topics[2].score	0.9915000200271606
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/3109
topics[2].subfield.display_name	Statistical and Nonlinear Physics
topics[2].display_name	Opinion Dynamics and Social Influence
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.717075526714325
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C2779662365
concepts[1].level	2
concepts[1].score	0.6636850833892822
concepts[1].wikidata	https://www.wikidata.org/wiki/Q5416694
concepts[1].display_name	Event (particle physics)
concepts[2].id	https://openalex.org/C124101348
concepts[2].level	1
concepts[2].score	0.5203299522399902
concepts[2].wikidata	https://www.wikidata.org/wiki/Q172491
concepts[2].display_name	Data mining
concepts[3].id	https://openalex.org/C2777462759
concepts[3].level	3
concepts[3].score	0.5105270147323608
concepts[3].wikidata	https://www.wikidata.org/wiki/Q18395344
concepts[3].display_name	Word embedding
concepts[4].id	https://openalex.org/C42090638
concepts[4].level	2
concepts[4].score	0.46044811606407166
concepts[4].wikidata	https://www.wikidata.org/wiki/Q4048907
concepts[4].display_name	STREAMS
concepts[5].id	https://openalex.org/C2778755073
concepts[5].level	2
concepts[5].score	0.4534868597984314
concepts[5].wikidata	https://www.wikidata.org/wiki/Q10858537
concepts[5].display_name	Scale (ratio)
concepts[6].id	https://openalex.org/C163258240
concepts[6].level	2
concepts[6].score	0.4374958276748657
concepts[6].wikidata	https://www.wikidata.org/wiki/Q25342
concepts[6].display_name	Power (physics)
concepts[7].id	https://openalex.org/C90805587
concepts[7].level	2
concepts[7].score	0.43462345004081726
concepts[7].wikidata	https://www.wikidata.org/wiki/Q10944557
concepts[7].display_name	Word (group theory)
concepts[8].id	https://openalex.org/C103278499
concepts[8].level	3
concepts[8].score	0.41676050424575806
concepts[8].wikidata	https://www.wikidata.org/wiki/Q254465
concepts[8].display_name	Similarity (geometry)
concepts[9].id	https://openalex.org/C199539241
concepts[9].level	1
concepts[9].score	0.3213376998901367
concepts[9].wikidata	https://www.wikidata.org/wiki/Q7748
concepts[9].display_name	Law
concepts[10].id	https://openalex.org/C80444323
concepts[10].level	1
concepts[10].score	0.3201509118080139
concepts[10].wikidata	https://www.wikidata.org/wiki/Q2878974
concepts[10].display_name	Theoretical computer science
concepts[11].id	https://openalex.org/C41608201
concepts[11].level	2
concepts[11].score	0.2752102017402649
concepts[11].wikidata	https://www.wikidata.org/wiki/Q980509
concepts[11].display_name	Embedding
concepts[12].id	https://openalex.org/C154945302
concepts[12].level	1
concepts[12].score	0.2325490415096283
concepts[12].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[12].display_name	Artificial intelligence
concepts[13].id	https://openalex.org/C115961682
concepts[13].level	2
concepts[13].score	0.15000766515731812
concepts[13].wikidata	https://www.wikidata.org/wiki/Q860623
concepts[13].display_name	Image (mathematics)
concepts[14].id	https://openalex.org/C33923547
concepts[14].level	0
concepts[14].score	0.1367138922214508
concepts[14].wikidata	https://www.wikidata.org/wiki/Q395
concepts[14].display_name	Mathematics
concepts[15].id	https://openalex.org/C205649164
concepts[15].level	0
concepts[15].score	0.1119474470615387
concepts[15].wikidata	https://www.wikidata.org/wiki/Q1071
concepts[15].display_name	Geography
concepts[16].id	https://openalex.org/C58640448
concepts[16].level	1
concepts[16].score	0.08931788802146912
concepts[16].wikidata	https://www.wikidata.org/wiki/Q42515
concepts[16].display_name	Cartography
concepts[17].id	https://openalex.org/C31258907
concepts[17].level	1
concepts[17].score	0.0773928165435791
concepts[17].wikidata	https://www.wikidata.org/wiki/Q1301371
concepts[17].display_name	Computer network
concepts[18].id	https://openalex.org/C17744445
concepts[18].level	0
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q36442
concepts[18].display_name	Political science
concepts[19].id	https://openalex.org/C2524010
concepts[19].level	1
concepts[19].score	0.0
concepts[19].wikidata	https://www.wikidata.org/wiki/Q8087
concepts[19].display_name	Geometry
concepts[20].id	https://openalex.org/C62520636
concepts[20].level	1
concepts[20].score	0.0
concepts[20].wikidata	https://www.wikidata.org/wiki/Q944
concepts[20].display_name	Quantum mechanics
concepts[21].id	https://openalex.org/C121332964
concepts[21].level	0
concepts[21].score	0.0
concepts[21].wikidata	https://www.wikidata.org/wiki/Q413
concepts[21].display_name	Physics
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.717075526714325
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/event
keywords[1].score	0.6636850833892822
keywords[1].display_name	Event (particle physics)
keywords[2].id	https://openalex.org/keywords/data-mining
keywords[2].score	0.5203299522399902
keywords[2].display_name	Data mining
keywords[3].id	https://openalex.org/keywords/word-embedding
keywords[3].score	0.5105270147323608
keywords[3].display_name	Word embedding
keywords[4].id	https://openalex.org/keywords/streams
keywords[4].score	0.46044811606407166
keywords[4].display_name	STREAMS
keywords[5].id	https://openalex.org/keywords/scale
keywords[5].score	0.4534868597984314
keywords[5].display_name	Scale (ratio)
keywords[6].id	https://openalex.org/keywords/power
keywords[6].score	0.4374958276748657
keywords[6].display_name	Power (physics)
keywords[7].id	https://openalex.org/keywords/word
keywords[7].score	0.43462345004081726
keywords[7].display_name	Word (group theory)
keywords[8].id	https://openalex.org/keywords/similarity
keywords[8].score	0.41676050424575806
keywords[8].display_name	Similarity (geometry)
keywords[9].id	https://openalex.org/keywords/law
keywords[9].score	0.3213376998901367
keywords[9].display_name	Law
keywords[10].id	https://openalex.org/keywords/theoretical-computer-science
keywords[10].score	0.3201509118080139
keywords[10].display_name	Theoretical computer science
keywords[11].id	https://openalex.org/keywords/embedding
keywords[11].score	0.2752102017402649
keywords[11].display_name	Embedding
keywords[12].id	https://openalex.org/keywords/artificial-intelligence
keywords[12].score	0.2325490415096283
keywords[12].display_name	Artificial intelligence
keywords[13].id	https://openalex.org/keywords/image
keywords[13].score	0.15000766515731812
keywords[13].display_name	Image (mathematics)
keywords[14].id	https://openalex.org/keywords/mathematics
keywords[14].score	0.1367138922214508
keywords[14].display_name	Mathematics
keywords[15].id	https://openalex.org/keywords/geography
keywords[15].score	0.1119474470615387
keywords[15].display_name	Geography
keywords[16].id	https://openalex.org/keywords/cartography
keywords[16].score	0.08931788802146912
keywords[16].display_name	Cartography
keywords[17].id	https://openalex.org/keywords/computer-network
keywords[17].score	0.0773928165435791
keywords[17].display_name	Computer network
language	en
locations[0].id	pmh:oai:arXiv.org:1906.05063
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/1906.05063
locations[0].version	submittedVersion
locations[0].raw_type	text
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/1906.05063
locations[1].id	doi:10.48550/arxiv.1906.05063
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.1906.05063
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5020908862
authorships[0].author.orcid	https://orcid.org/0000-0001-6530-4564
authorships[0].author.display_name	Yi Han
authorships[0].countries	AU
authorships[0].affiliations[0].institution_ids	https://openalex.org/I165779595
authorships[0].affiliations[0].raw_affiliation_string	The University of Melbourne,School of Computing and Information Systems
authorships[0].institutions[0].id	https://openalex.org/I165779595
authorships[0].institutions[0].ror	https://ror.org/01ej9dk98
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I165779595
authorships[0].institutions[0].country_code	AU
authorships[0].institutions[0].display_name	The University of Melbourne
authorships[0].author_position	first
authorships[0].raw_author_name	Yi Han
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	The University of Melbourne,School of Computing and Information Systems
authorships[1].author.id	https://openalex.org/A5021381399
authorships[1].author.orcid	https://orcid.org/0000-0001-7080-5064
authorships[1].author.display_name	Shanika Karunasekera
authorships[1].countries	AU
authorships[1].affiliations[0].institution_ids	https://openalex.org/I165779595
authorships[1].affiliations[0].raw_affiliation_string	The University of Melbourne,School of Computing and Information Systems
authorships[1].institutions[0].id	https://openalex.org/I165779595
authorships[1].institutions[0].ror	https://ror.org/01ej9dk98
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I165779595
authorships[1].institutions[0].country_code	AU
authorships[1].institutions[0].display_name	The University of Melbourne
authorships[1].author_position	middle
authorships[1].raw_author_name	Shanika Karunasekera
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	The University of Melbourne,School of Computing and Information Systems
authorships[2].author.id	https://openalex.org/A5076014464
authorships[2].author.orcid	https://orcid.org/0000-0002-4388-0517
authorships[2].author.display_name	Christopher Leckie
authorships[2].countries	AU
authorships[2].affiliations[0].institution_ids	https://openalex.org/I165779595
authorships[2].affiliations[0].raw_affiliation_string	The University of Melbourne,School of Computing and Information Systems
authorships[2].institutions[0].id	https://openalex.org/I165779595
authorships[2].institutions[0].ror	https://ror.org/01ej9dk98
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I165779595
authorships[2].institutions[0].country_code	AU
authorships[2].institutions[0].display_name	The University of Melbourne
authorships[2].author_position	middle
authorships[2].raw_author_name	Christopher Leckie
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	The University of Melbourne,School of Computing and Information Systems
authorships[3].author.id	https://openalex.org/A5001613337
authorships[3].author.orcid	https://orcid.org/0000-0002-4183-8462
authorships[3].author.display_name	Aaron Harwood
authorships[3].countries	AU
authorships[3].affiliations[0].institution_ids	https://openalex.org/I165779595
authorships[3].affiliations[0].raw_affiliation_string	University of Melbourne
authorships[3].institutions[0].id	https://openalex.org/I165779595
authorships[3].institutions[0].ror	https://ror.org/01ej9dk98
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I165779595
authorships[3].institutions[0].country_code	AU
authorships[3].institutions[0].display_name	The University of Melbourne
authorships[3].author_position	last
authorships[3].raw_author_name	Aaron Harwood
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	University of Melbourne
has_content.pdf	True
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/1906.05063
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2019-08-29T00:00:00
display_name	Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T10064
primary_topic.field.id	https://openalex.org/fields/31
primary_topic.field.display_name	Physics and Astronomy
primary_topic.score	0.9995999932289124
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/3109
primary_topic.subfield.display_name	Statistical and Nonlinear Physics
primary_topic.display_name	Complex Network Analysis Techniques
related_works	https://openalex.org/W4288407670, https://openalex.org/W947140380, https://openalex.org/W4230884544, https://openalex.org/W4245453790, https://openalex.org/W3194985222, https://openalex.org/W3216571906, https://openalex.org/W4214830338, https://openalex.org/W2518587255, https://openalex.org/W4287599800, https://openalex.org/W4385432812
cited_by_count	1
counts_by_year[0].year	2021
counts_by_year[0].cited_by_count	1
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:1906.05063
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/1906.05063
best_oa_location.version	submittedVersion
best_oa_location.raw_type	text
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/1906.05063
primary_location.id	pmh:oai:arXiv.org:1906.05063
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/1906.05063
primary_location.version	submittedVersion
primary_location.raw_type	text
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/1906.05063
publication_date	2019-06-12
publication_year	2019
referenced_works	https://openalex.org/W2743969099, https://openalex.org/W2063327784, https://openalex.org/W2493916176, https://openalex.org/W1738124305, https://openalex.org/W2914355375, https://openalex.org/W2793222259, https://openalex.org/W2095897464, https://openalex.org/W2554206813, https://openalex.org/W2188783997, https://openalex.org/W2506577269, https://openalex.org/W2050576295, https://openalex.org/W2963282319, https://openalex.org/W2900842974, https://openalex.org/W3123716038, https://openalex.org/W2398670371, https://openalex.org/W2008196645, https://openalex.org/W2405718797, https://openalex.org/W2160654919, https://openalex.org/W1998032016, https://openalex.org/W2337150356, https://openalex.org/W1966360994, https://openalex.org/W3103362336, https://openalex.org/W18757963, https://openalex.org/W1963759754, https://openalex.org/W2339514589, https://openalex.org/W1833217318, https://openalex.org/W2074562205, https://openalex.org/W2019853444
referenced_works_count	28
abstract_inverted_index.a	9, 54, 90
abstract_inverted_index.We	17, 108
abstract_inverted_index.at	133
abstract_inverted_index.be	99
abstract_inverted_index.by	163
abstract_inverted_index.in	20, 30, 126
abstract_inverted_index.of	15, 43, 46, 123, 141, 168, 175
abstract_inverted_index.on	158
abstract_inverted_index.or	61
abstract_inverted_index.to	82, 101
abstract_inverted_index.we	33
abstract_inverted_index.(1)	34
abstract_inverted_index.(2)	64
abstract_inverted_index.(3)	93
abstract_inverted_index.Our	156
abstract_inverted_index.all	73
abstract_inverted_index.and	11, 86, 113, 144, 201
abstract_inverted_index.are	18
abstract_inverted_index.can	98, 195
abstract_inverted_index.for	39
abstract_inverted_index.one	62
abstract_inverted_index.ten	59
abstract_inverted_index.the	36, 40, 44, 121, 127, 139, 171, 188, 199, 202
abstract_inverted_index.two	110
abstract_inverted_index.via	153
abstract_inverted_index.both	198
abstract_inverted_index.each	142
abstract_inverted_index.from	25, 50, 66, 105, 130
abstract_inverted_index.into	138
abstract_inverted_index.more	12, 182
abstract_inverted_index.news	3
abstract_inverted_index.only	119
abstract_inverted_index.over	67
abstract_inverted_index.show	161
abstract_inverted_index.such	74
abstract_inverted_index.that	70, 80, 95, 162
abstract_inverted_index.this	31
abstract_inverted_index.time	41, 56, 75, 128
abstract_inverted_index.with	1, 150, 181
abstract_inverted_index.word	154
abstract_inverted_index.basic	112, 118, 177
abstract_inverted_index.e.g.,	58
abstract_inverted_index.event	23, 103, 184
abstract_inverted_index.level	22
abstract_inverted_index.media	6
abstract_inverted_index.naive	173
abstract_inverted_index.news.	16
abstract_inverted_index.paper	32
abstract_inverted_index.short	55
abstract_inverted_index.these	96
abstract_inverted_index.those	79
abstract_inverted_index.tweet	27, 106, 131
abstract_inverted_index.where	116
abstract_inverted_index.while	71, 187
abstract_inverted_index.almost	72
abstract_inverted_index.alone,	170
abstract_inverted_index.checks	120
abstract_inverted_index.during	53
abstract_inverted_index.follow	89
abstract_inverted_index.media,	4
abstract_inverted_index.number	45
abstract_inverted_index.posted	49
abstract_inverted_index.richer	10
abstract_inverted_index.series	42, 76, 129
abstract_inverted_index.social	5
abstract_inverted_index.source	14
abstract_inverted_index.thirty	68
abstract_inverted_index.timely	13
abstract_inverted_index.tweet,	143
abstract_inverted_index.tweets	48, 169
abstract_inverted_index.verify	65
abstract_inverted_index.applied	100
abstract_inverted_index.content	140
abstract_inverted_index.events,	83
abstract_inverted_index.examine	35
abstract_inverted_index.exhibit	77
abstract_inverted_index.looking	137
abstract_inverted_index.minute;	63
abstract_inverted_index.propose	109
abstract_inverted_index.recall.	203
abstract_inverted_index.regions	52
abstract_inverted_index.results	180
abstract_inverted_index.scales,	135
abstract_inverted_index.seconds	60
abstract_inverted_index.streams	132
abstract_inverted_index.without	136
abstract_inverted_index.Compared	0
abstract_inverted_index.achieves	178
abstract_inverted_index.advanced	146, 183
abstract_inverted_index.analysis	152, 190
abstract_inverted_index.datasets	69, 160
abstract_inverted_index.enhanced	191
abstract_inverted_index.findings	97
abstract_inverted_index.increase	197
abstract_inverted_index.methods,	186
abstract_inverted_index.multiple	159
abstract_inverted_index.nowadays	7
abstract_inverted_index.provides	8
abstract_inverted_index.semantic	151, 189
abstract_inverted_index.specific	51
abstract_inverted_index.streams.	28, 107
abstract_inverted_index.version,	192
abstract_inverted_index.Power-law	114, 117, 145, 176, 193
abstract_inverted_index.advanced,	115, 194
abstract_inverted_index.algorithm	174
abstract_inverted_index.detection	24, 104, 185
abstract_inverted_index.existence	122
abstract_inverted_index.interval,	57
abstract_inverted_index.power-law	91, 124, 148
abstract_inverted_index.precision	200
abstract_inverted_index.seemingly	172
abstract_inverted_index.unplanned	87
abstract_inverted_index.comparable	179
abstract_inverted_index.correspond	81
abstract_inverted_index.embedding.	155
abstract_inverted_index.especially	84
abstract_inverted_index.facilitate	102
abstract_inverted_index.geo-tagged	26, 47
abstract_inverted_index.integrates	147
abstract_inverted_index.interested	19
abstract_inverted_index.outbursts,	88
abstract_inverted_index.short-term	85
abstract_inverted_index.considering	164
abstract_inverted_index.demonstrate	94
abstract_inverted_index.experiments	157
abstract_inverted_index.statistical	37, 166
abstract_inverted_index.traditional	2
abstract_inverted_index.verification	149
abstract_inverted_index.Specifically,	29
abstract_inverted_index.distribution;	92
abstract_inverted_index.distributions	125, 167
abstract_inverted_index.multi-spatial	21, 134
abstract_inverted_index.significantly	196
abstract_inverted_index.characteristic	38
abstract_inverted_index.spatio-temporal	165
abstract_inverted_index.self-similarity,	78
abstract_inverted_index.algorithms---Power-law	111
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	4
sustainable_development_goals[0].id	https://metadata.un.org/sdg/16
sustainable_development_goals[0].score	0.800000011920929
sustainable_development_goals[0].display_name	Peace, Justice and strong institutions
citation_normalized_percentile