An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data

The objective of this article is to conduct a systematic literature review that provides an overview of the current state of research concerning methods and application for spatiotemporal analyses of the social network Twitter. Reviewed papers and their application domains have shown that the study of geographical processes by using spatiotemporal information from location-based social networks represent a promising and still underexplored field for GIScience researchers.

[1]  Chong Wang,et al.  Mining geographic knowledge using location aware topic model , 2007, GIR '07.

[2]  Hanan Samet,et al.  Identification of live news events using Twitter , 2011, LBSN '11.

[3]  Bernd Resch,et al.  People as Sensors and Collective Sensing-Contextual Observations Complementing Geo-Sensor Network Measurements , 2013, Progress in Location-Based Services.

[4]  Wasan Pattara-Atikom,et al.  Social-based traffic information extraction and classification , 2011, 2011 11th International Conference on ITS Telecommunications.

[5]  R.J.P. Stronkman,et al.  Towards a realtime Twitter analysis during crises for operational crisis management , 2012, ISCRAM.

[6]  Krishna P. Gummadi,et al.  Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.

[7]  Danah Boyd,et al.  Tweeting from the Town Square: Measuring Geographic Local Networks , 2010, ICWSM.

[8]  Arlene Fink,et al.  Conducting research literature reviews : from the internet to paper , 2014 .

[9]  Robert Thomson,et al.  Trusting tweets: The Fukushima disaster and information source credibility on Twitter , 2012, ISCRAM.

[10]  Thomas Ertl,et al.  Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics , 2013, Computing in Science & Engineering.

[11]  Gisele L. Pappa,et al.  Traffic observatory: a system to detect and locate traffic events and conditions using Twitter , 2012, LBSN '12.

[12]  Duncan J. Watts,et al.  Who says what to whom on twitter , 2011, WWW.

[13]  Hila Becker,et al.  Beyond Trending Topics: Real-World Event Identification on Twitter , 2011, ICWSM.

[14]  Yiqun Liu,et al.  Discover breaking events with popular hashtags in twitter , 2012, CIKM.

[15]  Martha Palmer,et al.  Twitter in mass emergency: what NLP techniques can contribute , 2010, HLT-NAACL 2010.

[16]  M. Goodchild,et al.  Data-driven geography , 2014, GeoJournal.

[17]  Panagiotis Symeonidis,et al.  Recommender Systems for Location-based Social Networks , 2014, Springer Briefs in Electrical and Computer Engineering.

[18]  Y. Matsuo,et al.  Real-time event extraction for driving information from social sensors , 2012, 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[19]  Alex Singleton,et al.  Web mapping 2.0: The neogeography of the GeoWeb , 2008 .

[20]  Xiao Zhang,et al.  SensePlace2: GeoTwitter analytics support for situational awareness , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[21]  Chitu Okoli,et al.  A Guide to Conducting a Systematic Literature Review of Information Systems Research , 2010 .

[22]  Stuart E. Middleton,et al.  Social media text mining and network analysis for decision support in natural crisis management , 2013, ISCRAM.

[23]  Eric Horvitz,et al.  Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks , 2013, ICWSM.

[24]  Michael F. Goodchild,et al.  The convergence of GIS and social media: challenges for GIScience , 2011, Int. J. Geogr. Inf. Sci..

[25]  Andrea Zielinski,et al.  Multilingual analysis of twitter news in support of mass emergency events , 2012, ISCRAM.

[26]  Qi He,et al.  TwitterRank: finding topic-sensitive influential twitterers , 2010, WSDM '10.

[27]  Ravi Kumar,et al.  Object matching in tweets with spatial models , 2012, WSDM '12.

[28]  Kazutoshi Sumiya,et al.  Crowd-sourced urban life monitoring: urban area characterization based crowd behavioral patterns from Twitter , 2012, ICUIMC.

[29]  Yair Levy,et al.  A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research , 2006, Informing Sci. Int. J. an Emerg. Transdiscipl..

[30]  Franco Zambonelli,et al.  Extracting urban patterns from location-based social networks , 2011, LBSN '11.

[31]  Leysia Palen,et al.  Twitter adoption and use in mass convergence and emergency events , 2009 .

[32]  Norman M. Sadeh,et al.  The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.

[33]  Michelle R. Guy,et al.  Twitter earthquake detection: earthquake monitoring in a social world , 2012 .

[34]  Nello Cristianini,et al.  Tracking the flu pandemic by monitoring the social web , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[35]  Mark Dredze,et al.  Annotating Named Entities in Twitter Data with Crowdsourcing , 2010, Mturk@HLT-NAACL.

[36]  Erwin Adi,et al.  Harvesting real time traffic information from Twitter , 2012 .

[37]  Marko Jurmu,et al.  Detection, classification and visualization of place-triggered geotagged tweets , 2012, UbiComp.

[38]  Kazutoshi Sumiya,et al.  Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection , 2010, LBSN '10.

[39]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[40]  Daniele Quercia,et al.  The Social World of Twitter: Topics, Geography, and Emotions , 2012, ICWSM.

[41]  M. Osborne,et al.  Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic , 2009 .

[42]  Pearl Brereton,et al.  Lessons from applying the systematic literature review process within the software engineering domain , 2007, J. Syst. Softw..

[43]  Shrikanth S. Narayanan,et al.  A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle , 2012, ACL.

[44]  Hongfei Yan,et al.  Comparing Twitter and Traditional Media Using Topic Models , 2011, ECIR.

[45]  Virgílio A. F. Almeida,et al.  Dengue surveillance based on a computational model of spatio-temporal locality of Twitter , 2011, WebSci '11.

[46]  Judith Gelernter,et al.  An algorithm for local geoparsing of microtext , 2013, GeoInformatica.

[47]  Dongman Lee,et al.  EventRadar: A Real-Time Local Event Detection Scheme Using Twitter Stream , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[48]  Ed H. Chi,et al.  Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles , 2011, CHI.

[49]  Yi-Shin Chen,et al.  TweoLocator: a non-intrusive geographical locator system for Twitter , 2012, LBSN '12.

[50]  Barry Wellman,et al.  Geography of Twitter networks , 2012, Soc. Networks.

[51]  Alexander Zipf,et al.  Exploring the Geographical Relations Between Social Media and Flood Phenomena to Improve Situational Awareness - A Study About the River Elbe Flood in June 2013 , 2014, AGILE Conf..

[52]  Ed H. Chi,et al.  Language Matters In Twitter: A Large Scale Study , 2011, ICWSM.

[53]  Ana-Maria Popescu,et al.  A Machine Learning Approach to Twitter User Classification , 2011, ICWSM.

[54]  Francis Harvey,et al.  To Volunteer or to Contribute Locational Information? Towards Truth in Labeling for Crowdsourced Geographic Information , 2013 .

[55]  Martha Larson,et al.  The where in the tweet , 2011, CIKM '11.

[56]  Don Tapscott,et al.  The Digital Economy: Promise and Peril in the Age of Networked Intelligence , 2003 .

[57]  Arkaitz Zubiaga,et al.  Classifying trending topics: a typology of conversation triggers on Twitter , 2011, CIKM '11.

[58]  Prasenjit Mitra,et al.  Event detection with spatial latent Dirichlet allocation , 2011, JCDL '11.

[59]  Susanne Heuser,et al.  Location Based Social Networks – Definition, Current State of the Art and Research Agenda , 2013, Trans. GIS.

[60]  Yu Zheng,et al.  Location-Based Social Networks: Users , 2011, Computing with Spatial Trajectories.

[61]  Owen Rambow,et al.  Sentiment Analysis of Twitter Data , 2011 .

[62]  Pearl Brereton,et al.  Performing systematic literature reviews in software engineering , 2006, ICSE.

[63]  Ponnurangam Kumaraguru,et al.  Credibility ranking of tweets during high impact events , 2012, PSOSM '12.

[64]  Yu Zheng,et al.  Computing with Spatial Trajectories , 2011, Computing with Spatial Trajectories.

[65]  Sushil Jajodia,et al.  Who is tweeting on Twitter: human, bot, or cyborg? , 2010, ACSAC '10.

[66]  Leysia Palen,et al.  Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions , 2012, ISCRAM.

[67]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[68]  Matthew Michelson,et al.  Tweet Disambiguate Entities Retrieve Folksonomy SubTree Step 1 : Discover Categories Generate Topic Profile from SubTrees Step 2 : Discover Profile Topic Profile : “ English Football ” “ World Cup ” , 2010 .

[69]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[70]  David S. Ebert,et al.  Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition , 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

[71]  Bertrand De Longueville,et al.  "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 , 2009, LBSN '09.

[72]  Scott A. Longwell,et al.  TWITTER AND DISASTERS , 2013 .

[73]  Bu-Sung Lee,et al.  Event Detection in Twitter , 2011, ICWSM.

[74]  Daniel Lewis,et al.  What is web 2.0? , 2006, CROS.

[75]  Kazufumi Watanabe,et al.  Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs , 2011, CIKM '11.

[76]  Pearl Brereton,et al.  Systematic literature reviews in software engineering - A systematic literature review , 2009, Inf. Softw. Technol..

[77]  Anthony Stefanidis,et al.  #Earthquake: Twitter as a Distributed Sensor System , 2013, Trans. GIS.

[78]  Tore Dybå,et al.  Evidence-based software engineering , 2004, Proceedings. 26th International Conference on Software Engineering.

[79]  Claude Caron,et al.  GIScience Journals Ranking and Evaluation: An International Delphi Study , 2008, Trans. GIS.

[80]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[81]  Alexander Zipf,et al.  The use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review , 2013, AMCIS.

[82]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[83]  Geert-Jan Houben,et al.  Semantics + filtering + search = twitcident. exploring information in social web streams , 2012, HT '12.

[84]  Sheila Kinsella,et al.  "I'm eating a sandwich in Glasgow": modeling locations with tweets , 2011, SMUC '11.

[85]  Piotr Jankowski,et al.  Extracting Personal Behavioral Patterns from Geo-Referenced Tweets , 2013 .

[86]  Sven Schade,et al.  Connecting a Digital Europe Through Location and Place , 2014, AGILE Conf..

[87]  Alexander J. Smola,et al.  Discovering geographical topics in the twitter stream , 2012, WWW.

[88]  Matthew Smith,et al.  A real-time architecture for detection of diseases using social networks: design, implementation and evaluation , 2012, HT '12.

[89]  A. Stefanidis,et al.  Harvesting ambient geospatial information from social media feeds , 2011, GeoJournal.

[90]  Balachander Krishnamurthy,et al.  A few chirps about twitter , 2008, WOSN '08.

[91]  Bum-Suk Lee,et al.  A Study of the Correlation between the Spatial Attributes on Twitter , 2012, 2012 IEEE 28th International Conference on Data Engineering Workshops.

[92]  Felix Kling,et al.  When a city tells a story: urban topic analysis , 2012, SIGSPATIAL/GIS.

[93]  Nadia Magnenat-Thalmann,et al.  Who, where, when and what: discover spatio-temporal topics for twitter users , 2013, KDD.

[94]  Krishna P. Gummadi,et al.  Geographic Dissection of the Twitter Network , 2012, ICWSM.