An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data

Transactions in GIS

Volumn 19, Issue 6, 2015, Pages 809-834

  Steiger, Enrico ^a   de Albuquerque, João Porto ^a   Zipf, Alexander ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

'CURRENT; APPLICATIONS DOMAINS; LOCATION-BASED SOCIAL NETWORKS; SPATIOTEMPORAL ANALYSIS; SPATIOTEMPORAL INFORMATION; STATE OF RESEARCH; SYSTEMATIC LITERATURE REVIEW;

SOCIAL NETWORKING (ONLINE);

GIS; LITERATURE REVIEW; RESEARCH; SOCIAL NETWORK; SPATIOTEMPORAL ANALYSIS;

EID: 84955189258     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/tgis.12132     Document Type: Review

References (92)

1. Abel F, Hauff C, Houben G-J, Tao K, and Stronkman R 2012 Semantics + filtering + Search = Twitcident: Exploring information in social web streams categories and subject descriptors. In Proceedings of the Twenty-third ACM Conference on Hypertext and Social Media, Milwaukee, Wisconsin: 285-294
2. Andrienko G and Andrienko N 2013 Thematic patterns in georeferenced tweets through space-time visual analytics. Computing in Science and Engineering 15(3): 72-82
3. Becker H and Gravano L 2011 Beyond trending topics: Real-world event identification on Twitter. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain: 438-441
4. Blaschke T and Eisank C 2012 How influential is Geographic Information Science? In Proceedings of GIScience 2012, Columbus, Ohio
5. Blei D, Ng A, and Jordan M 2003 Latent dirichlet allocation. Journal of Machine Learning Research 3: 993-1022
6. Boettcher A and Lee D 2012 EventRadar: A real-time local event detection scheme using Twitter stream. In Proceedings of the IEEE International Conference on Green Computing and Communications, Besançon, France: 358-367
7. Boyd D M and Ellison N B 2007 Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication 13: 210-230
8. Brereton P, Kitchenham B A, Budgen D, Turner M, and Khalil M 2007 Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software 80: 571-583
9. Caron C, Goyer D, Roche S, and Jaton A 2008 GIScience journals ranking and evaluation: An international delphi study. Transactions in GIS 12: 293-321
10. Cha M, Haddadi H, Benevenuto F, and Gummadi K P 2010 Measuring user influence in Twitter: The million follower fallacy. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, Washington DC: 10-17
11. Chae J, Thom D, Bosch H, Jang Y, Maciejewski R, Ebert D S, and Ertl, T 2012 Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology, Seattle, Washington: 143-152
12. Chu Z, Gianvecchio S, and Wang H 2010 Who is tweeting on Twitter: Human, bot, or cyborg? In Proceedings of the Twenty-sixth Annual Computer Security Applications Conference, Austin, Texas: 21-30
13. Corvey W J, Vieweg S, Rood T, and Palmer M 2010 Twitter in mass emergency: What NLP techniques can contribute. In Proceedings of the NAACL HLT Workshop on Computational Linguistics in a World of Social Media, Los Angeles, California: 23-24
14. Cranshaw J, Schwartz R, Hong J I, and Sadeh N 2012 The Livehoods project: Utilizing social media to understand the dynamics of a city. In Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, Dublin, Ireland
15. Crooks A, Croitoru A, Stefanidis A, and Radzikowski J 2013 #Earthquake: Twitter as a distributed sensor system. Transactions in GIS 17: 124-147
16. Cui A, Zhang M, Liu Y, Ma S, and Zhang K 2012 Discover breaking events with popular hashtags in Twitter. In Proceedings of the Twenty-first ACM International Conference on Information and Knowledge Management, Maui, Hawaii
17. Dalvi N, Kumar R, and Pang B 2012 Object matching in tweets with spatial models. In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, Seattle, Washington
18. De Longueville B and Smith R S 2009 "OMG, from here, I can see the flames!": A use case of mining location-based social networks to acquire spatio-temporal data on forest fires. In Proceedings of the First International Workshop on Location Based Social Networks, Seattle, Washington: 73-80
19. Earle P S, Bowden D C, and Guy M 2011 Twitter earthquake detection: Earthquake monitoring in a social world. Annals of Geophysics 54: 708-715
20. Ester M, Kriegel H-P, Sander J, and Xu X 1996 A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon
21. Ferrari L, Rosi A, Mamei M, and Zambonelli F 2011 Extracting urban patterns from location-based social networks. In Proceedings of the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks, Chicago, Illinois: 9-16
22. Finin T, Murnane W, Karandikar A, Keller N, and Martinea J 2010 Annotating named entities in Twitter data with crowdsourcing. In Proceedings of the NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Los Angeles, California: 80-88
23. Fuchs G, Jankowski P, and Augustin S 2013 Extracting personal behavioral patterns from geo-referenced tweets. In Proceedings of the Sixteenth AGILE Conference on Geographic Information Science, Leuven, Belgium
24. Gelernter J and Balaji S 2013 An algorithm for local geoparsing of microtext. GeoInformatica 17: 635-667
25. Go A, Huang L, and Bhayani R 2009 Sentiment Analysis of Twitter Data. WWW document, http://nlp.stanford.edu/courses/cs224n/2009/fp/3.pdf
26. Gonzalez R and Chen Y 2012 TweoLocator: A non-intrusive geographical locator system for Twitter. In Proceedings of the Fifth International Workshop on Location-Based Social Networks, Redondo Beach, California: 24-31
27. Goodchild M F 2007 Citizens as sensors: The world of volunteered geography. GeoJournal 69: 211-221
28. Graham M and Stephens M 2012 A Geography of Twitter. WWW document, http://www.oii.ox.ac.uk/vis/?id=4fe09570
29. Gupta A and Kumaraguru P 2012 Credibility ranking of tweets during high impact events. In Proceedings of the First Workshop on Privacy and Security in Online Social Media, Lyon, France
30. Haklay M, Singleton A, and Parker C 2008 Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass 2: 2011-2039
31. Harvey F 2013 To volunteer or to contribute locational information? Towards truth in labeling for crowdsourced geographic information. In Sui S, Elwood S, and Goodchild M F (eds) Crowdsourcing Geographic Knowledge. Dordrecht, The Netherlands, Springer: 31-42
32. Hecht B, Hong L, Suh B, and Chi E H 2011 Tweets from Justin Bieber's heart: The dynamics of the "location" field in user profiles. In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, Vancouver, British Columbia: 237-246
33. Herfort B, de Albuquerque J P, Schelhorn S-J, and Zipf A 2014 Exploring the geographical relations between social media and flood phenomena to improve situation awareness: A study about the River Elbe Flood in June 2013. In Huerta J, Schade S, and Granell C (eds) Connecting a Digital Europe through Location and Place. Heidelberg, Germany, Springer: 55-71
34. Hiruta S, Yonezawa T, Jurmu M, and Tokuda H 2012 Detection, classification and visualization of place-triggered geotagged tweets. In Proceedings of the Fourteenth ACM International Conference on Ubiquitous Computing, Pittsburgh, Pennsylvania
35. Hong L, Ahmed A, Gurumurthy S, Smola A, and Tsioutsioulikli K 2012 Discovering geographical topics in the Twitter stream. In Proceedings of the Twenty-first International Conference on the World Wide Web, Lyon, France
36. Hong L, Convertino G, and Chi E H 2011 Language matters in Twitter: A large scale study characterizing the top languages in Twitter characterizing differences across languages including URLs and hashtags. In Proceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Spain: 518-521
37. Horita F E A, Degrossi L C, Assis L F G, Zipf A, and Albuquerque J P 2013 The use of volunteered geographic information and crowdsourcing in disaster management: A systematic literature review. In Proceedings of the Nineteenth Americas Conference on Information Systems, Atlanta, Georgia: 1-10
38. Hughes A L and Palen L 2009 Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management 6: 248-260
39. Jackoway A, Samet H, and Sankaranarayanan J 2011 Identification of live news events using Twitter. In Proceedings of the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks, Chicago, Illinois: 248-260
40. Kinsella S, Murdock V, and Hare N O 2011 "I'm eating a sandwich in Glasgow": Modeling locations with tweets. In Proceedings of the Third International Workshop on Search and Mining User-generated Contents, Glasgow, Scotland: 61-68
41. Kitchenham B and Charters S 2007 Guidelines for Performing Systematic Literature Reviews in Software Engineering. Keele, UK, Keele University and Durham University Joint Report
42. Kitchenham B, Brereton O P, Budgen D, Turner M, Bailey J, and Linkman S 2009 Systematic literature reviews in software engineering: A systematic literature review. Information and Software Technology 51: 7-15
43. Kling F, Kildare C, and Pozdnoukhov A 2012 When a city tells a story: Urban topic analysis. In Proceedings of the Twentieth ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Redondo Beach, 482-485
44. Kosala R and Adi E 2012 Harvesting real time traffic information from Twitter. Procedia Engineering 50: 1-11
45. Krishnamurthy B and Arlitt M 2006 A few chirps about Twitter. In Proceedings of the First Workshop on Online Social Networks, Seattle, Washington: 19-24
46. Kulshrestha J and Gummadi K P 2012 Geographic dissection of the Twitter network. In Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, Dublin, Ireland
47. Lampos V and Cristianini N 2010 Tracking the flu pandemic by monitoring the Social Web. In Proceedings of the Second International Workshop on Cognitive Information Processing, Elba Island, Italy: 411-416
48. Lee B and Hwang B-Y 2012 A study of the correlation between the spatial attributes on Twitter. In Proceedings of the Twenty-eighth International Conference on Data Engineering Workshops, Arlington, Virginia: 337-340
49. Lee R and Sumiya K 2010 Measuring geographical regularities of crowd behaviors for Twitter-based geosocial event detection. In Proceedings of the Second ACM SIGSPATIAL International Workshop on Location-Based Social Networks, San Jose, California
50. Levy Y and Ellis T J 2006 A systems approach to conduct an effective literature review in support of information systems research. Informing Science and Information Technology 9: 351-360
51. Li W, Serdyukov P, de Vries A P, Eickhoff C, and Larson M 2011 The where in the tweet. In Proceedings of the Twentieth ACM International Conference on Information and Knowledge Management, Glasgow, Scotland
52. MacEachren A M, Jaiswal A, Robinson A C, Pezanowski S, Savelyev A, Mitra P, Zhang X, and Blanford J 2011 SensePlace2: GeoTwitter analytics support for situational awareness. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology, Providence, Rhode Island: 181-190
53. Michelson M and Macskassy S A 2010 Discovering users' topics of interest on Twitter. In Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data, Toronto, Ontario: 73-79
54. Miller H J and Goodchild M F 2015 Data-driven geography. GeoJournal 80: in press
55. Murthy D and Longwell S A 2013 Twitter and disasters. Information, Communication and Society 16: 837-855
56. O'Reilly T 2009 What is Web 2.0? WWW document, http://oreilly.com/web2/archive/what-is-web-20.html
57. Okoli C and Schabram K 2010 A guide to conducting a systematic literature review of information systems research. Sprouts Working Papers on Information Systems 10: 26
58. Pan C-C and Mitra P 2011 Event detection with spatial latent Dirichlet allocation. In Proceedings of the Eleventh International ACM/IEEE Joint Conference on Digital Libraries (JCDL11), Ottawa, Ontario: 349
59. Pennacchiotti M and Popescu A 2010 A machine learning approach to Twitter user classification. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain: 281-288
60. Quercia D, Capra L, and Crowcroft J 2012 The social world of Twitter: Topics, geography, and emotions. In Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, Dublin, Ireland: 298-305
61. Resch B 2013 People as sensors and collective sensing-contextual observations complementing geo-sensor network measurements. In Krisp J M (ed) Progress in Location-Based Services. Berlin, Springer Lecture Notes in Geoinformation and Cartography: 391-406
62. Ribeiro S S Jr, Davis C A Jr, Oliveira D R R, Meira W Jr, Gonçalves T S, and Pappa G L 2012 Traffic Observatory: A system to detect and locate traffic events and conditions using Twitter. In Proceedings of the Fifth International Workshop on Location-Based Social Networks, Redondo Beach, California: 5-11
63. Ritterman J, Osborne M, and Klein E 2009 Using prediction markets and Twitter to predict a swine flu pandemic. In Proceedings of the First International Workshop on Mining Social Media, Sevilla, Spain
64. Roick O and Heuser S 2013 Location based social networks: Definition, current state-of-the-art and research agenda. Transactions in GIS 17: 763-784
65. Sadilek A, Krumm J, and Horvitz E 2013 Crowdphysics: Planned and opportunistic crowdsourcing for physical tasks. In Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, Ann Arbor, Michigan
66. Sakaki T and Matsuo Y 2012 Real-time event extraction for driving information from social sensors. In Proceedings of the IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Bangkok, Thailand: 221-226
67. Sakaki T, Okazaki M, and Matsuo Y 2010 Earthquake shakes Twitter users: Real-time event detection by social sensors. In Proceedings of the Nineteenth International Conference on the World Wide Web, Raleigh, North Carolina: 851-860
68. Sofean M and Smith M 2012 A real-time architecture for detection of diseases using social networks: Design, implementation and evaluation. In Proceedings of the Twenty-third ACM Conference on Hypertext and Social Media, Milwaukee, Wisconsin: 309-310
69. Starbird K and Muzny G 2012 Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions. In Proceedings of the Ninth International Conference on Information Systems for Crisis Response and Management, Vancouver, British Columbia
70. Stefanidis A, Crooks A, and Radzikowski J 2011 Harvesting ambient geospatial information from social media feeds. GeoJournal 78: 319-338
71. Sui D and Goodchild M F 2011 The convergence of GIS and social media: Challenges for GIScience. International Journal of Geographical Information Science 25: 1737-1748
72. Symeonidis P, Ntempos D, and Manolopoulos Y 2014 Location-Based Social Networks: Recommender Systems for Location-based Social Networks. Springer New York, Springer
73. Takhteyev Y, Gruzd A, and Wellman B 2012 Geography of Twitter networks. Social Networks 34: 73-81
74. Tapscott D 1996 The Digital Economy: Promise and Peril in the Age of Networked Intelligence. New York, McGraw-Hill
75. Terpstra T 2012 Towards a realtime Twitter analysis during crises for operational crisis management. In Proceedings of the Ninth International Conference on Information Systems for Crisis Response and Management, Vancouver, British Columbia
76. Thomson R, Ito N, Suda H, Lin F, Liu Y, Hayasaka R, Isochi R, and Wang Z 2012 Trusting tweets: The Fukushima disaster and information source credibility on Twitter. In Proceedings of the Ninth International Conference on Information Systems for Crisis Response and Management, Vancouver, British Columbia
77. Veloso A and Ferraz F 2011 Dengue surveillance based on a computational model of spatio-temporal locality of Twitter. In Proceedings of the Third International Conference on Web Science, Koblenz, Germany
78. Wakamiya S and Lee R 2012 Crowd-sourced urban life monitoring: Urban area characterization based crowd behavioral patterns from Twitter categories and subject descriptors. In Proceedings of the Sixth International Conference on Ubiquitous Information Management and Communication, Kuala Lumpur, Malaysia
79. Wang C, Wang J, Xie X, and Ma W-Y 2007 Mining geographic knowledge using location aware topic model. In Proceedings of the Fourth ACM Workshop on Geographical Information Retrieval, Lisbon, Portugal: 65-70
80. Wang H, Can D, Kazemzadeh A, Bar F, and Narayanan S 2012 A system for real-time Twitter sentiment analysis of 2012 U.S. Presidential election cycle. In Proceedings of the Association for Computational Linguistics 2012 System Demonstrations, Jeju Island, Korea: 115-120
81. Wanichayapong N, Pruthipunyaskul W, Pattara-Atikom W, and Chaovalit P 2011 Social-based traffic information extraction and classification. In Proceedings of the Eleventh International Conference on ITS Telecommunications, St. Petersburg, Russia: 107-112
82. Watanabe K, Ochi M, Okabe M, and Onai R 2011 Jasmine: A real-time local-event detection system based on geolocation information propagated to microblogs. In Proceedings of the Twentieth ACM International Conference on Information and Knowledge management, Glasgow, Scotland: 2541-2544
83. Weng J and Lee B 2011 Event detection in Twitter. In Proceedings of the Fifth AAAI International Conference on Weblogs and Social Media, Barcelona, Spain: 401-408
84. Weng J, Lim E, and Jiang J 2010 Twitterrank: Finding topic-sensitive influential Twitterers. In Proceedings of the Third ACM International Conference on Web Search and Data Mining, New York, New York: 261-270
85. Wu S, Hofman J M, Mason W A, and Watts D J 2011 Who says what to whom on Twitter. In Proceedings of the Twentieth International Conference on World Wide Web, Hyderabad, India: 705-714
86. Yardi S and Boyd D 2010 Tweeting from the Town Square: Measuring geographic local networks. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, Washington, DC
87. Yuan Q, Cong G, Ma Z, Sun A, and Magnenat-Thalmann N 2013 Who, where, when and what: Discover spatio-temporal topics for Twitter users. In Proceedings of the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois: 605-613
88. Zhao W X, Jiang J, Weng J, He J, Lim E-P, Yan H, and Li X 2011 Comparing Twitter and Traditional Media Using Topic Models, Berlin, Springer
89. Zheng Y 2011 Location-based Social Networks: Users Computing with Spatial Trajectories. New York, Springer
90. Zielinski A and Bügel U 2012 Multilingual analysis of Twitter news in support of mass emergency events. In Proceedings of the Tenth International Conference on Information Systems for Crisis Response and Management, Vancouver, British Columbia: 1-5
91. Zielinski A and Middleton S E 2013 Social media text mining and network analysis for decision support in natural crisis management. In Proceedings of the Tenth International Conference on Information Systems for Crisis Response and Management, Baden-Baden, Germany
92. Zubiaga A, Spina D, and Martínez R 2011 Classifying trending topics: A typology of conversation triggers on Twitter. In Proceedings of the Twentieth ACM International Conference on Information and Knowledge Management, Glasgow, Scotland: 8-11