Most Cited Article in Transactions in GIS is on systematic literature review on spatiotemporal analyses of Twitter data

Steiger, E.; Porto de Albuquerque, J.; Zipf, A. (2015): An advanced systematic literature review on spatiotemporal analyses of Twitter data. Transactions in GIS, 19(6): 809–834. Wiley. doi:10.1111/tgis.12132

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.

In case you want to read a bit more some of our recent related work includes for example:

Steiger, E., B. Resch, J. Porto de Albuquerque, A. Zipf (2016): Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps. Transportation Research Part C: Emerging Technologies. Vol 73, Dec.16, pp 91–104. http://dx.doi.org/10.1016/j.trc.2016.10.010

Westerholt, R., Steiger, E., Resch, B. and Zipf, A. (2016): Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis. PLOS ONE, 11 (9), e0162360. DOI:10.1371/journal.pone.0162360.

Steiger, E., Resch, B., Zipf, A. (2015): Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks. International Journal of Geographical Information Science (IJGIS), Taylor & Francis. doi:10.1080/13658816.2015.1099658

Steiger, E., Westerholt, R., Resch, B. and Zipf, A. (2015): Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data. Computers, Environment and Urban Systems (CEUS), 54, pp. 255–265. Elsevier. doi:10.1016/j.compenvurbsys.2015.09.007

Mocnik, F.-B., Zipf, A., Raifer, M. (2017): The OpenStreetMap folksonomy and its evolution. Geo-spatial Information Science. DOI: 10.1080/10095020.2017.1368193.

Jonietz, D., V. Antonio, L. See, A. Zipf (2017): Highlighting Current Trends in Volunteered Geographic Information. International Journal of Geo-Information. 2017, 6(7), 202; doi:10.3390/ijgi6070202 Special Issue:Volunteered Geographic Information (VGI): http://www.mdpi.com/journal/ijgi/special_issues/VGI

Li, M., Westerholt, R., Fan, H., Zipf, A. (2016): Assessing spatiotemporal predictability of LBSN: A case study of three Foursquare datasets. GeoInformatica. Volume and issue pending. DOI:10.1007/s10707-016-0279-5.

Jacobs C. and A. Zipf (2017): Completeness of Citizen Science Biodiversity Data from a Volunteered Geographic Information Perspective. Geo-Spatial information Science, 20(1): 3-13. Taylor & Francis. DOI: 10.1080/10095020.2017.1288424.

Herfort, B., Reinmuth, M., Porto de Albuquerque, J., Zipf, A. (2017): Towards evaluating the mobile crowdsourcing of geographic information about human settlements. 20th AGILE conference 2017, Wageningen, Netherlands.

Steiger, E., Westerholt, R. and Zipf, A. (2016): Research on social media feeds – A GIScience perspective. In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R. (eds.) European Handbook of Crowdsourced Geographic Information, London: Ubiquity Press, pp. 237-254. DOI: 10.5334/bax.r.

Porto de Albuquerque, J., Eckle, M., Herfort, B. and Zipf, A. (2016): Crowdsourcing geographic information for disaster risk management and improving urban resilience: an overview of the lessons learned. In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R. (eds.) European Handbook of Crowdsourced Geographic Information, p. 325–337. London: Ubiquity Press. DOI: dx.doi.org/10.5334/bax.x

Zipf, A., Mobasheri, A., Rousell, A. ,Hahmann, S. (2016): Crowdsourcing for individual needs – the case of routing and navigation for mobility-impaired persons . In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R. (eds.) European Handbook of Crowdsourced Geographic Information, p. 325–337. London: Ubiquity Press. DOI: dx.doi.org/10.5334/bax.x

Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (Eds.)(2015): OpenStreetMap in GIScience: Experiences, Research, and Applications. Series: Lecture Notes in Geoinformation and Cartography. 2015, VII, 373 p. Sringer Science. Heidelberg, Berlin. ISBN 978-3-319-14279-1