A. Kheiri, F. Karimipour, and M. Forghani, INTRA-URBAN MOVEMENT FLOW ESTIMATION USING LOCATION BASED SOCIAL NETWORKING DATA, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.1, issue.5, p.781, 2015.
DOI : 10.5194/isprsarchives-XL-1-W5-781-2015

URL : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/781/2015/isprsarchives-XL-1-W5-781-2015.pdf

. Facebook, Available online: https://www.facebook.com/ (accessed on 21, 2018.

. Twitter, Available online: https://twitter.com/ (accessed on 21, 2018.

E. H. Lu, -. Chen, C. Tseng, and V. S. , Personalized trip recommendation with multiple constraints by mining user check-in behaviors, Proceedings of the 20th International Conference on Advances in Geographic Information Systems, SIGSPATIAL '12, pp.6-9, 2012.
DOI : 10.1145/2424321.2424349

X. Lin, K. A. Lachlan, and P. Spence, Exploring extreme events on social media: A comparison of user reposting/retweeting behaviors on Twitter and Weibo, Computers in Human Behavior, vol.65, pp.576-581, 2016.
DOI : 10.1016/j.chb.2016.04.032

D. Mauro, A. Greco, M. Grimaldi, M. Miller, H. J. Goodchild et al., A formal definition of big data based on its essential features Data-driven geography Participative public policy making through multiple social media platforms utilization, Lib. Rev. GeoJournal Int. J. Electron. Gov. Res, vol.65, issue.8, pp.122-135, 2012.

E. López-ornelas, R. Abascal-mena, and S. Zepeda-hernández, SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.4, issue.3, pp.2017-2059
DOI : 10.5194/isprs-archives-XLII-4-W3-59-2017

J. I. Criado, R. Sandoval-almazan, and . Gil-garcia, J.R. Government Innovation through Social Media, 2013.

L. Zheng and T. Zheng, Innovation through social media in the public sector: Information and interactions, Government Information Quarterly, vol.31, issue.31, pp.106-117
DOI : 10.1016/j.giq.2014.01.011

M. Z. Sobaci and N. Karkin, The use of twitter by mayors in Turkey: Tweets for better public services?, Government Information Quarterly, vol.30, issue.4, pp.417-425, 2013.
DOI : 10.1016/j.giq.2013.05.014

D. Agostino, Using social media to engage citizens: A study of Italian municipalities, Public Relations Review, vol.39, issue.3, pp.232-234, 2013.
DOI : 10.1016/j.pubrev.2013.02.009

M. W. Graham, E. J. Avery, and S. Park, The role of social media in local government crisis communications, Public Relations Review, vol.41, issue.3, pp.386-394, 2015.
DOI : 10.1016/j.pubrev.2015.02.001

A. Tursunbayeva, M. Franco, and C. Pagliari, Use of social media for e-Government in the public health sector: A systematic review of published studies, Government Information Quarterly, vol.34, issue.2, pp.270-282, 2017.
DOI : 10.1016/j.giq.2017.04.001

P. J. Reed, M. R. Khan, and J. Blumenstock, Observing gender dynamics and disparities with mobile phone metadata, Proceedings of the Eighth International Conference on Information and Communication Technologies and Development , ICTD '16, pp.3-6, 2016.
DOI : 10.1177/1461444809346721

N. B. Ellison, C. Steinfield, and C. Lampe, The Benefits of Facebook ???Friends:??? Social Capital and College Students??? Use of Online Social Network Sites, Journal of Computer-Mediated Communication, vol.22, issue.3, pp.1143-1168, 2007.
DOI : 10.1145/358916.361990

T. Erl, W. Khattak, and P. Buhler, Big Data Fundamentals

N. Vastardis and K. Yang, Mobile Social Networks: Architectures, Social Properties, and Key Research Challenges, IEEE Communications Surveys & Tutorials, vol.15, issue.3, pp.1355-1371, 2013.
DOI : 10.1109/SURV.2012.060912.00108

A. M. Ahmed, T. Qiu, F. Xia, B. Jedari, and S. Abolfazli, Event-Based Mobile Social Networks: Services, Technologies, and Applications, IEEE Access, vol.2, pp.500-513, 2014.
DOI : 10.1109/ACCESS.2014.2319823

URL : http://ieeexplore.ieee.org:80/stamp/stamp.jsp?tp=&arnumber=6805126

C. S. Andreassen, Online Social Network Site Addiction: A Comprehensive Review, Current Addiction Reports, vol.16, issue.2, pp.175-184, 2015.
DOI : 10.1016/S0747-5632(99)00049-7

J. Bao, Y. Zheng, D. Wilkie, and M. Mokbel, Recommendations in location-based social networks: a survey, GeoInformatica, vol.5, issue.1, pp.525-565
DOI : 10.1007/978-1-4614-1629-6

P. Symeonidis, D. Ntempos, and Y. Manolopoulos, Location-based social networks In Recommender Systems for Location-Based Social Networks, pp.35-48, 2014.
DOI : 10.1007/978-1-4939-0286-6

S. Kumar, K. Saravanakumar, and K. Deepa, On privacy and security in social media?A comprehensive study, Procedia Comput. Sci, vol.78, pp.114-119, 2016.

P. B. Lowry, J. Cao, and A. Everard, Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures, Journal of Management Information Systems, vol.48, issue.2, pp.163-200, 2011.
DOI : 10.1109/TPC.2005.849652

V. Benson, G. Saridakis, and H. Tennakoon, Information disclosure of social media users, Information Technology & People, vol.28, issue.3, pp.426-441, 2015.
DOI : 10.1509/jppm.19.1.1.16934

URL : http://eprints.kingston.ac.uk/31441/1/Benson-V-31441.pdf

K. Strater and H. Richter, Examining privacy and disclosure in a social networking community, Proceedings of the 3rd symposium on Usable privacy and security, SOUPS '07, pp.18-20, 2007.
DOI : 10.1145/1280680.1280706

M. A. Stefanone, Y. C. Huang, and D. Lackaff, Negotiating Social Belonging: Online, Offline, and In-Between, 2011 44th Hawaii International Conference on System Sciences, pp.4-7, 2011.
DOI : 10.1109/HICSS.2011.314

D. M. Boyd and N. B. Ellison, Social Network Sites: Definition, History, and Scholarship, Journal of Computer-Mediated Communication, vol.3, issue.1, pp.210-230, 2007.
DOI : 10.1504/IJWBC.2005.008111

H. Huang, Examining the beneficial effects of individual's self-disclosure on the social network site, Computers in Human Behavior, vol.57, pp.122-132, 2016.
DOI : 10.1016/j.chb.2015.12.030

C. Wong, Smartphone Location-Based Services in the Social, Mobile, and Surveillance Practices of Everyday Life, 2014.

Y. Zheng, L. Zhang, X. Xie, and W. Ma, Mining correlation between locations using human location history, Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '09, pp.4-6, 2009.
DOI : 10.1145/1653771.1653847

URL : http://research.microsoft.com/pubs/142532/Mining Correlation Between Locations Using Human Location History-short.pdf

C. Comito, D. Falcone, and D. Talia, Mining human mobility patterns from social geo-tagged data, Pervasive and Mobile Computing, vol.33, pp.91-107, 2016.
DOI : 10.1016/j.pmcj.2016.06.005

A. Altomare, E. Cesario, C. Comito, F. Marozzo, and D. Talia, Trajectory Pattern Mining for Urban Computing in the Cloud, IEEE Transactions on Parallel and Distributed Systems, vol.28, pp.586-599, 2017.
DOI : 10.1109/TPDS.2016.2565480

A. Brimicombe and C. Li, Location-Based Services and Geo-Information Engineering, 2009.

Z. Cheng, J. Caverlee, K. Lee, and D. Z. Sui, Exploring millions of footprints in location sharing services, pp.81-88, 2011.

L. Humphreys, Mobile social networks and urban public space. New Media Soc, pp.763-778, 2010.
DOI : 10.1177/1461444809349578

S. Roche, Geographic Information Science I, Progress in Human Geography, vol.22, issue.2, pp.703-711
DOI : 10.1007/s13132-012-0089-4

L. G. Anthopoulos and A. Vakali, Urban Planning and Smart Cities: Interrelations and Reciprocities, The Future Internet Assembly, pp.178-189, 2012.
DOI : 10.1007/978-3-642-30241-1_16

URL : https://link.springer.com/content/pdf/10.1007%2F978-3-642-30241-1_16.pdf

S. Scellato, A. Noulas, R. Lambiotte, and C. Mascolo, Socio-spatial properties of online location-based social networks, pp.329-336, 2011.

N. Li and G. Chen, Sharing location in online social networks, IEEE Network, vol.24, issue.5, pp.20-25, 2010.
DOI : 10.1109/MNET.2010.5578914

URL : http://mobilityfirst.winlab.rutgers.edu/documents/Chen.pdf

F. Luo, G. Cao, K. Mulligan, and X. Li, Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago, Applied Geography, vol.70, pp.11-25, 2016.
DOI : 10.1016/j.apgeog.2016.03.001

M. Rizwan, S. Mahmood, W. Wanggen, and S. Ali, Location based social media data analysis for observing check-in behavior and city rhythm in Shanghai, 4th International Conference on Smart and Sustainable City (ICSSC 2017), pp.5-6, 2017.
DOI : 10.1049/cp.2017.0107

B. Alharbi, A. A. Qahtan, and X. Zhang, Minimizing user involvement for learning human mobility patterns from location traces, Proceedings of the AAAI Conference on Artificial Intelligence, pp.12-17, 2016.

L. Jin, X. Long, K. Zhang, Y. Lin, and J. Joshi, Characterizing users' check-in activities using their scores in a location-based social network. Multimedia Syst, pp.87-98, 2016.
DOI : 10.1007/s00530-014-0395-8

J. Bao, D. Lian, F. Zhang, and N. J. Yuan, Geo-social media data analytic for user modeling and location-based services. SIGSPATIAL Spec, pp.11-18, 2016.
DOI : 10.1145/2876480.2876484

K. S. Kung, K. Greco, S. Sobolevsky, and C. Ratti, Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data, PLoS ONE, vol.2, issue.6, p.96180
DOI : 10.1371/journal.pone.0096180.s004

URL : https://doi.org/10.1371/journal.pone.0096180

S. Hoteit, S. Secci, S. Sobolevsky, C. Ratti, and G. Pujolle, Estimating human trajectories and hotspots through mobile phone data, Computer Networks, vol.64, pp.296-307
DOI : 10.1016/j.comnet.2014.02.011

URL : https://hal.archives-ouvertes.fr/hal-01018885

Y. Ye, Y. Zheng, Y. Chen, J. Feng, and X. Xie, Mining Individual Life Pattern Based on Location History, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, pp.18-20, 2009.
DOI : 10.1109/MDM.2009.11

URL : http://research.microsoft.com/pubs/80874/Mining Individual Life Pattern Based on Location History.pdf

C. , B. Kun, Y. Wang, J. Sun, and M. , Research on evaluation of popularity of lijiang scenic area based on microblog data, DEStech Trans. Comput. Sci. Eng, 2017.

F. Zhen, Y. Cao, X. Qin, and B. Wang, Delineation of an urban agglomeration boundary based on Sina Weibo microblog ???check-in??? data: A case study of the Yangtze River Delta, Cities, vol.60, pp.180-191, 2017.
DOI : 10.1016/j.cities.2016.08.014

Y. Shen, K. Karimi, and S. Law, Encounter and its configurational logic: Understanding spatiotemporal co-presence with road network and social media check-in data, Proceedings of the 11th International Space Syntax Symposium, Instituto Superior Técnico, Portugal, pp.3-7, 2017.

C. Wu, X. Ye, F. Ren, and Q. Du, Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China, Cities, vol.77, pp.104-116, 2018.
DOI : 10.1016/j.cities.2018.01.017

A. Soliman, K. Soltani, J. Yin, A. Padmanabhan, and S. Wang, Social sensing of urban land use based on analysis of Twitter users??? mobility patterns, PLOS ONE, vol.12, issue.3, 2017.
DOI : 10.1371/journal.pone.0181657.s001

URL : http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0181657&type=printable

C. Chen, J. Ma, Y. Susilo, Y. Liu, and M. Wang, The promises of big data and small data for travel behavior (aka human mobility) analysis, Transportation Research Part C: Emerging Technologies, vol.68, pp.285-299, 2016.
DOI : 10.1016/j.trc.2016.04.005

URL : https://doi.org/10.1016/j.trc.2016.04.005

B. W. Hesse, R. P. Moser, and W. Riley, From Big Data to Knowledge in the Social Sciences, The ANNALS of the American Academy of Political and Social Science, vol.44, issue.3, pp.16-32, 2015.
DOI : 10.1158/1055-9965.EPI-05-0456

URL : http://europepmc.org/articles/pmc4539961?pdf=render

H. Gao and H. Liu, Mining Human Mobility in Location-Based Social Networks, Synthesis Lectures on Data Mining and Knowledge Discovery, vol.12, issue.3, pp.1-115, 2015.
DOI : 10.1007/978-3-642-30353-1_22

M. Ye, K. Janowicz, C. Mülligann, and W. Lee, What you are is when you are, Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '11, pp.1-4, 2011.
DOI : 10.1145/2093973.2093989

M. Ye, D. Shou, W. Lee, P. Yin, and K. Janowicz, On the semantic annotation of places in location-based social networks, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.21-24, 2011.
DOI : 10.1145/2020408.2020491

URL : http://users.cis.fiu.edu/%7Elzhen001/activities/KDD2011Program/docs/p520.pdf

D. Lian and X. Xie, Learning location naming from user check-in histories, Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '11, pp.1-4, 2011.
DOI : 10.1145/2093973.2093990

A. Noulas, S. Scellato, C. Mascolo, and M. Pontil, An empirical study of geographic user activity patterns in foursquare, 2011.

X. Yu, Y. Ding, W. Wan, and E. Thuillier, Explore Hot Spots of City Based on DBSCAN Algorithm, 2014 International Conference on Audio, Language and Image Processing, pp.7-9, 2014.
DOI : 10.1109/ICALIP.2014.7009862

L. Cui and J. Shi, Urbanization and its environmental effects in shanghai, china. Urban Clim, pp.1-15, 2012.
DOI : 10.1016/j.uclim.2012.10.008

URL : https://doi.org/10.1016/j.uclim.2012.10.008

B. Han, P. Cook, and T. Baldwin, Geolocation prediction in social media data by finding location indicative words, Proc. COLING 2012, pp.1045-1062

H. Schoen, D. Gayo-avello, P. Takis-metaxas, E. Mustafaraj, M. Strohmaier et al., The power of prediction with social media, Internet Research, vol.23, issue.5, pp.528-543, 2013.
DOI : 10.1016/j.sbspro.2011.10.562

URL : http://www.danigayo.info/downloads/IntR-Schoen-et-al-Authors-version.pdf

L. Backstrom, E. Sun, and C. Marlow, Find me if you can, Proceedings of the 19th international conference on World wide web, WWW '10, pp.26-30, 2010.
DOI : 10.1145/1772690.1772698

Y. Sun and M. Li, Investigation of Travel and Activity Patterns Using Location-based Social Network Data: A Case Study of Active Mobile Social Media Users, ISPRS International Journal of Geo-Information, vol.14, issue.3, pp.1512-1529, 2015.
DOI : 10.1111/j.1538-4632.1995.tb00338.x

Z. Gu, Y. Zhang, Y. Chen, and X. Chang, Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining???A Case Study of Shenzhen, China, ISPRS International Journal of Geo-Information, vol.30, issue.11, p.210, 2016.
DOI : 10.1016/S0160-7383(02)00026-9

J. Yin, A. Lampert, M. Cameron, B. Robinson, and R. Power, Using Social Media to Enhance Emergency Situation Awareness, IEEE Intelligent Systems, vol.27, issue.6, pp.52-59, 2012.
DOI : 10.1109/MIS.2012.6

D. Yates and S. Paquette, Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake, International Journal of Information Management, vol.31, issue.1, pp.6-13, 2011.
DOI : 10.1016/j.ijinfomgt.2010.10.001

URL : https://onlinelibrary.wiley.com/doi/pdf/10.1002/meet.14504701243

G. Cervone, E. Schnebele, N. Waters, M. Moccaldi, and R. Sicignano, Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies, In Seeing Cities through Big Data, vol.42, issue.3, pp.443-457, 2017.
DOI : 10.1007/s11069-006-9073-2

Y. Wang, T. Wang, X. Ye, J. Zhu, and J. Lee, Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm, Sustainability, vol.6, issue.1, p.25, 2015.
DOI : 10.1145/116873.116880

I. Hong, Spatial Analysis of Location-Based Social Networks in Seoul, Korea, Journal of Geographic Information System, vol.07, issue.03, 2015.
DOI : 10.4236/jgis.2015.73020

URL : https://doi.org/10.4236/jgis.2015.73020

K. Liu, L. Li, T. Jiang, B. Chen, Z. Jiang et al., Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform, International Journal of Environmental Research and Public Health, vol.120, issue.8, p.780, 2016.
DOI : 10.1016/j.epidem.2014.09.003

J. E. Blumenstock, D. Gillick, and N. Eagle, Who's calling? Demographics of mobile phone use in Rwanda, Transportation, vol.32, pp.2-5, 2010.

C. Wu, X. Ye, F. Ren, Y. Wan, P. Ning et al., Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China, PLOS ONE, vol.102, issue.10, 2016.
DOI : 10.1371/journal.pone.0164553.s002

URL : https://doi.org/10.1371/journal.pone.0164553

D. Preo¸tiucpreo¸tiuc-pietro and T. Cohn, Mining user behaviours: A study of check-in patterns in location based social networks, Proceedings of the 5th Annual ACM Web Science Conference, pp.2-4, 2013.

S. B. Kylasa, G. Kollias, and A. Grama, Social ties and checkin sites, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, ASONAM '15, p.95
DOI : 10.1017/CBO9780511761942

J. Li, W. Fang, T. Wang, S. Qureshi, J. M. Alatalo et al., Correlations between Socioeconomic Drivers and Indicators of Urban Expansion: Evidence from the Heavily Urbanised Shanghai Metropolitan Area, China, Sustainability, vol.45, issue.7, p.1199
DOI : 10.3390/su7044689

URL : https://doi.org/10.3390/su9071199

C. Ross, by Rongxing Guo, Journal of Business & Finance Librarianship, vol.20, issue.3, p.386, 2013.
DOI : 10.1080/08963568.2015.1044362

X. Gu, S. Tao, and B. Dai, Spatial accessibility of country parks in shanghai, china. Urban For. Urban Green, pp.373-382, 2017.
DOI : 10.1016/j.ufug.2017.08.006

Y. Jiang, X. Shi, S. Zhang, and J. Ji, The threshold effect of high???level human capital investment on China's urban???rural income gap, China Agricultural Economic Review, vol.3, issue.3, pp.297-320, 2011.
DOI : 10.1016/S1043-951X(02)00074-3

X. Xiong, C. Jin, H. Chen, and L. Luo, Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages, PLOS ONE, vol.8, issue.19, 2016.
DOI : 10.1371/journal.pone.0163504.t001

URL : https://doi.org/10.1371/journal.pone.0163504

J. Shen, G. Kee, and . Shanghai, Shanghai: Urban Development and Regional Integration Through Mega Projects, Development and Planning in Seven Major Coastal Cities in Southern and Eastern China, pp.119-151, 2017.
DOI : 10.1080/00343400701281634

J. Shen and G. Kee, Development and Planning in Seven Major Coastal Cities in Southern and Eastern China, 2016.
DOI : 10.1007/978-3-319-46421-3

X. Zhang and C. Butts, Activity correlation spectroscopy: a novel method for inferring social relationships from activity data, Social Network Analysis and Mining, vol.2, issue.1, 2017.
DOI : 10.1145/1889681.1889688

M. Lichman and P. Smyth, Modeling human location data with mixtures of kernel densities, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '14, pp.24-27, 2014.
DOI : 10.1145/2623330.2623681

Z. Xie and J. Yan, Kernel Density Estimation of traffic accidents in a network space, Computers, Environment and Urban Systems, vol.32, issue.5, pp.396-406, 2008.
DOI : 10.1016/j.compenvurbsys.2008.05.001

URL : https://digitalcommons.wku.edu/cgi/viewcontent.cgi?article=1003&context=geog_fac_pub

B. W. Silverman, Density Estimation for Statistics and Data Analysis, 1986.
DOI : 10.1007/978-1-4899-3324-9

C. H. Van-iddekinge, S. E. Lanivich, P. L. Roth, and E. Junco, Social media for selection? Validity and adverse impact potential of a facebook-based assessment, J. Manag, vol.42, pp.1811-1835, 2016.