% THIS LIST PRESENTS STANDARDIZED NAMES FOR PROCEEDINGS AND JOURNALS.
% IT DOES NOT, IN ANY WAY, LIMIT THE REFERENCES TO VENUES ON THIS LIST.
% IT IS MERE A SUGGESTION ON HOW TO WRITE THE VENUES IN THE BIB FILES,
%   SO THAT JIDM KEEPS A MINIMUM OF CONSISTENCY AMONG CITATIONS
% SEPT.3rd.2010


@STRING{aaai = {Proceedings of the National Conference on Artificial Intelligence}}

@STRING{acmgis = {Proceedings of the ACM International Symposium on Advances in Geographic Information Systems}}

@STRING{adbis = {Proceedings of the Symposium on Advances in Databases and Information Systems}}

@STRING{ai = {Artificial Inteligence}}

@STRING{cacm = {Communications of the ACM}}

@STRING{cikm = {Proceedings of the International Conference on Information and Knowledge Engineering}}

@STRING{computer = {IEEE Computer}}

@STRING{computernetw = {Computer Networks}}

@STRING{computingsurveys = {ACM Computing Surveys}}

@STRING{dasfaa = {Proceedings of the International Conference on Database Systems for Advanced Applications}}

@STRING{dawak = {Proceedings of the Data Warehousing and Knowledge Discovery}}

@STRING{dcc = {Proceedings of the Data Compression Conference}}

@STRING{dexa = {Proceedings of the International Conference on Database and Expert Systems Applications}}

@STRING{dke = {Data \& Knowledge Engineeering}}

@STRING{doceng = {Proceedings of the ACM Symposium on Document Engineering}}

@STRING{dood = {Proceedings of the International Conference Deductive and Object-Oriented Databases}}

@STRING{dpd = {Distributed and Parallel Databases}}

@STRING{ecdl = {Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries}}

@STRING{ecir = {Proceedings of the European Conference on Information Retrieval}}

@STRING{edbt = {Proceedings of the International Conference on Extending Database Technology}}

@STRING{eextt = {Proceedings of the VLDB Workshop on Efficiency and Effectiveness of XML Tools, and Techniques}}

@STRING{er = {Proceedings of the International Conference on Conceptual Modeling}}

@STRING{fse = {Proceedings of the ACM SIGSOFT Conference on the Foundations of Software Engineering}}

@STRING{geoinfo = {Proceedings of the Brazilian Symposium on GeoInformatics}}

@STRING{icde = {Proceedings of the IEEE International Conference on Data Engineering}}

@STRING{icdebulletin = {IEEE Data Engineering Bulletin}}

@STRING{icdt = {Proceedings of the International Conference on Database Theory}}

@STRING{icdm = {Proceedings of the IEEE International Conference on Data Mining}} 

@STRING{icml = {Proceedings of the International Conference on Machine Learning}}

@STRING{infosys = {Information Systems}}

@STRING{ipm = {Information Processing and Management}}

@STRING{jbcs = {Journal of the Brazilian Computer Society}}

@STRING{jcdl = {Proceedings of the ACM IEEE Joint Conference on Digital Libraries}}

@STRING{jep = {Journal of Electronic Publishing}}

@STRING{jidm = {Journal of Information and Data Management}}

@STRING{jiis = {Journal of Intelligent Information Systems}}

@STRING{jucs = {Journal of Universal Computer Science}}

@STRING{kdd = {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}}

@STRING{mobilesearch = {Proceedings of the WWW Workshop on Mobile Search}}

@STRING{odbase = {Proceedings of the International Conference on Ontologies, Databases and Applications of Semantics}}

@STRING{oopsla = {Proceedings of the Annual ACM Conference on Object-Oriented Programing Systems, Languages and Applications}}

@STRING{pkdd = {Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases}}

@STRING{pods = {Proceedings of the ACM Symposium on Principles of Database Systems}}

@STRING{pvldb = {Proceedings of the VLDB Endowment}}

@STRING{sac = {Proceedings of the ACM Symposium on Applied Computing}}

@STRING{sbbd = {Proceedings of the Brazilian Symposium on Databases}}

@STRING{seke = {Proceedings of the International Conference on Software Engineering and Knowledge Engineering}}

@STRING{sigir = {Proceedings of the International ACM SIGIR Conference on Research \& Development of Information Retrieval}}

@STRING{sigmod = {Proceedings of the ACM SIGMOD International Conference on Management of Data}}

@STRING{sigmodrecord = {SIGMOD Record}}

@STRING{ssdbm = {Proceedings of the International Conference on Scientific and Statistical Databases Management}}

@STRING{sstd = {Proceedings of the Internationa Symposium on Spatial and Temporal Databases}}

@STRING{time = {Proceedings of the International Symposium on Temporal Representation and Reasoning}}

@STRING{tkdd = {ACM Transactions on Knowledge Discovery from Data}}

@STRING{tkde = {IEEE Transactions on Knowledge and Data Engineering}}

@STRING{tods = {ACM Transactions on Database Systems }}

@STRING{tois = {ACM Transactions on Information Systems}}

@STRING{tse = {Transactions on Software Engineering}}

@STRING{uai = {Proceedings of the Conference in Uncertainty in Artificial Intelligence}}

@STRING{vldb = {Proceedings of the International Conference on Very Large Data Bases}}

@STRING{vldbj = {The VLDB Journal}}

@STRING{webdb = {Proceedings of the Workshop on Web and Databases}}

@STRING{webmedia = {Proceedings of the Brazilian Symposium on Multimedia and the Web}}

@STRING{www = {Proceedings of the International World Wide Web Conferences}}

@STRING{wwwposter = {Proceedings of the International World Wide Web Conferences, Poster session}}

@STRING{xsym = {Proceedings of XML Database Symposium}}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

@article{Luo201611,
title = "Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago ",
journal = "Applied Geography ",
volume = "70",
number = "",
pages = "11 - 25",
year = "2016",
note = "",
issn = "0143-6228",
doi = "http://doi.org/10.1016/j.apgeog.2016.03.001",
url = "http://www.sciencedirect.com/science/article/pii/S0143622816300194",
author = "Feixiong Luo and Guofeng Cao and Kevin Mulligan and Xiang Li",
keywords = "Human mobility",
keywords = "Geodemography",
keywords = "Social media",
keywords = "Twitter",
keywords = "Name analysis",
keywords = "Chicago ",
abstract = "Abstract Characterizing human mobility patterns is essential for understanding human behaviors and the interactions with socioeconomic and natural environment, and plays a critical role in public health, urban planning, transportation engineering and related fields. With the widespread of location-aware mobile devices and continuing advancement of Web 2.0 technologies, location-based social media (LBSM) have been gaining widespread popularity in the past few years. With an access to locations of hundreds of million users, profiles and the contents of the social media posts, the \{LBSM\} data provided a novel modality of data source for human mobility study. By exploiting the explicit location footprints and mining the latent demographic information implied in the \{LBSM\} data, the purpose of this paper is to investigate the spatiotemporal characteristics of human mobility with a particular focus on the impact of demography. To serve this purpose, we first collect geo-tagged Twitter feeds posted in the conterminous United States area, and organize the collection of feeds using the concept of space-time trajectory corresponding to each Twitter user. Commonly human mobility measures, including detected home and activity centers, are derived for each user trajectory. We then select a subset of Twitter users that have detected home locations in the city of Chicago as a case study, and apply name analysis to the names provided in user profiles to learn the implicit demographic information of Twitter users, including race/ethnicity, gender and age. Finally we explore the spatiotemporal distribution and mobility characteristics of Chicago Twitter users, and investigate the demographic impact by comparing the differences across three demographic dimensions (race/ethnicity, gender and age). We found that, although the human mobility measures of different demographic groups generally follow the generic laws (e.g., power law distribution), the demographic information, particular the race/ethnicity group, significantly affects the urban human mobility patterns. "
}

@article{noulas2012tale,
  title={A tale of many cities: universal patterns in human urban mobility},
  author={Noulas, Anastasios and Scellato, Salvatore and Lambiotte, Renaud and Pontil, Massimiliano and Mascolo, Cecilia},
  journal={PloS one},
  volume={7},
  number={5},
  pages={e37027},
  year={2012},
  publisher={Public Library of Science}
}

@article{wilson2004comparative,
  title={Comparative empirical evaluations of internal migration models in subnational population projections},
  author={Wilson, Tom and Bell, Martin},
  journal={Journal of Population Research},
  volume={21},
  number={2},
  pages={127--160},
  year={2004},
  publisher={Springer}
}

@inproceedings{hao2010equip,
  title={Equip tourists with knowledge mined from travelogues},
  author={Hao, Qiang and Cai, Rui and Wang, Changhu and Xiao, Rong and Yang, Jiang-Ming and Pang, Yanwei and Zhang, Lei},
  booktitle={Proceedings of the 19th international conference on World wide web},
  pages={401--410},
  year={2010},
  publisher={Proceeding WWW '10 Proceedings of the 19th international conference on World wide web},
  address={Raleigh, North Carolina, USA},
  organization={ACM}
}

@inproceedings{zheng2010collaborative,
 author = {Zheng, Vincent W. and Zheng, Yu and Xie, Xing and Yang, Qiang},
 title = {Collaborative Location and Activity Recommendations with GPS History Data},
 booktitle = {Proceedings of the 19th International Conference on World Wide Web},
 series = {WWW '10},
 year = {2010},
 isbn = {978-1-60558-799-8},
 location = {Raleigh, North Carolina, USA},
 pages = {1029--1038},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1772690.1772795},
 doi = {10.1145/1772690.1772795},
 acmid = {1772795},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {collaborative filtering, location and activity recommendations},
} 

@article{bagrow2012mesoscopic,
  title={Mesoscopic structure and social aspects of human mobility},
  author={Bagrow, James P and Lin, Yu-Ru},
  journal={PloS one},
  volume={7},
  number={5},
  pages={e37676},
  year={2012},
  publisher={Public Library of Science}
}

@inproceedings{hsieh2012exploiting,
 author = {Hsieh, Hsun-Ping and Li, Cheng-Te and Lin, Shou-De},
 title = {Exploiting Large-scale Check-in Data to Recommend Time-sensitive Routes},
 booktitle = {Proceedings of the ACM SIGKDD International Workshop on Urban Computing},
 series = {UrbComp '12},
 year = {2012},
 isbn = {978-1-4503-1542-5},
 location = {Beijing, China},
 pages = {55--62},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/2346496.2346506},
 doi = {10.1145/2346496.2346506},
 acmid = {2346506},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {check-in data, time-sensitive query, trip recommendation},
} 


@article{gonzalez2008understanding,
  title={Understanding individual human mobility patterns},
  author={Gonzalez, Marta C and Hidalgo, Cesar A and Barabasi, Albert-Laszlo},
  journal={Nature},
  volume={453},
  number={7196},
  pages={779--782},
  year={2008},
  publisher={Nature Publishing Group}
}

@inproceedings{jiang2013review,
 author = {Jiang, Shan and Fiore, Gaston A. and Yang, Yingxiang and Ferreira,Jr., Joseph and Frazzoli, Emilio and Gonz\'{a}lez, Marta C.},
 title = {A Review of Urban Computing for Mobile Phone Traces: Current Methods, Challenges and Opportunities},
 booktitle = {Proceedings of the 2Nd ACM SIGKDD International Workshop on Urban Computing},
 series = {UrbComp '13},
 year = {2013},
 isbn = {978-1-4503-2331-4},
 location = {Chicago, Illinois},
 pages = {2:1--2:9},
 articleno = {2},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/2505821.2505828},
 doi = {10.1145/2505821.2505828},
 acmid = {2505828},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Boston, GPS, human activity, human mobility, land use, mobile phones, spatial networks, spatiotemporal computation},
} 


@article{palchykov2014inferring,
  title={Inferring human mobility using communication patterns},
  author={Palchykov, Vasyl and Mitrovi{\'c}, Marija and Jo, Hang-Hyun and Saram{\"a}ki, Jari and Pan, Raj Kumar},
  journal={arXiv preprint arXiv:1404.7675},
  volume={4},
  number={6174},
  pages={6},
  year={2014}
}

@article{chaintreau2007impact,
  title={Impact of human mobility on opportunistic forwarding algorithms},
  author={Chaintreau, Augustin and Hui, Pan and Crowcroft, Jon and Diot, Christophe and Gass, Richard and Scott, James},
  journal={IEEE Transactions on Mobile Computing},
  volume={6},
  number={6},
  year={2007},
  pages={606--620},
  publisher={IEEE}
}

@article{zhang2012towards,
  title={Towards a temporal network analysis of interactive WiFi users},
  author={Zhang, Yan and Wang, Lin and Zhang, Yi-Qing and Li, Xiang},
  journal={EPL (Europhysics Letters)},
  volume={98},
  number={6},
  pages={68002},
  year={2012},
  publisher={IOP Publishing}
}

@article{rhee2011levy,
  title={On the levy-walk nature of human mobility},
  author={Rhee, Injong and Shin, Minsu and Hong, Seongik and Lee, Kyunghan and Kim, Seong Joon and Chong, Song},
  journal={IEEE/ACM transactions on networking (TON)},
  volume={19},
  number={3},
  pages={630--643},
  year={2011},
  publisher={IEEE Press}
}

@article{zhao2014explaining,
  title={Explaining the power-law distribution of human mobility through transportation modality decomposition},
  author={Zhao, Kai and Musolesi, Mirco and Hui, Pan and Rao, Weixiong and Tarkoma, Sasu},
  journal={arXiv preprint arXiv:1408.4910},
  volume={5},
  number={9136},
  pages={21},
  year={2014}
}

@inproceedings{yuan2013and,
 author = {Yuan, Quan and Cong, Gao and Ma, Zongyang and Sun, Aixin and Thalmann, Nadia Magnenat-},
 title = {Who, Where, when and What: Discover Spatio-temporal Topics for Twitter Users},
 booktitle = {Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 series = {KDD '13},
 year = {2013},
 isbn = {978-1-4503-2174-7},
 location = {Chicago, Illinois, USA},
 pages = {605--613},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/2487575.2487576},
 doi = {10.1145/2487575.2487576},
 acmid = {2487576},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {graphical model, prediction and recommendation, spatio-temporal, twitter, user profiling},
} 

@article{jurdak2015understanding,
  title={Understanding human mobility from Twitter},
  author={Jurdak, Raja and Zhao, Kun and Liu, Jiajun and AbouJaoude, Maurice and Cameron, Mark and Newth, David},
  journal={PloS one},
  volume={10},
  number={7},
  pages={e0131469},
  year={2015},
  publisher={Public Library of Science}
}

@article{hawelka2014geo,
  title={Geo-located Twitter as proxy for global mobility patterns},
  author={Hawelka, Bartosz and Sitko, Izabela and Beinat, Euro and Sobolevsky, Stanislav and Kazakopoulos, Pavlos and Ratti, Carlo},
  journal={Cartography and Geographic Information Science},
  volume={41},
  number={3},
  pages={260--271},
  year={2014},
  publisher={Taylor \& Francis}
}

@inproceedings{hasan2013understanding,
 author = {Hasan, Samiul and Zhan, Xianyuan and Ukkusuri, Satish V.},
 title = {Understanding Urban Human Activity and Mobility Patterns Using Large-scale Location-based Data from Online Social Media},
 booktitle = {Proceedings of the 2Nd ACM SIGKDD International Workshop on Urban Computing},
 series = {UrbComp '13},
 year = {2013},
 isbn = {978-1-4503-2331-4},
 location = {Chicago, Illinois},
 pages = {6:1--6:8},
 articleno = {6},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/2505821.2505823},
 doi = {10.1145/2505821.2505823},
 acmid = {2505823},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {human mobility pattern, large-scale, location-based data, social media, urban activity pattern},
} 

@inproceedings{yin2015joint,
 author = {Yin, Hongzhi and Cui, Bin and Huang, Zi and Wang, Weiqing and Wu, Xian and Zhou, Xiaofang},
 title = {Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation},
 booktitle = {Proceedings of the 23rd ACM International Conference on Multimedia},
 series = {MM '15},
 year = {2015},
 isbn = {978-1-4503-3459-4},
 location = {Brisbane, Australia},
 pages = {819--822},
 numpages = {4},
 url = {http://doi.acm.org/10.1145/2733373.2806339},
 doi = {10.1145/2733373.2806339},
 acmid = {2806339},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {joint modeling, location-based service, probabilistic generative model, recommender system},
} 

@article{blanford2015geo,
  title={Geo-located tweets. enhancing mobility maps and capturing cross-border movement},
  author={Blanford, Justine I and Huang, Zhuojie and Savelyev, Alexander and MacEachren, Alan M},
  journal={PloS one},
  volume={10},
  number={6},
  pages={e0129202},
  year={2015},
  publisher={Public Library of Science}
}

@inproceedings{nguyen2012using,
  title={Using location-based social networks to validate human mobility and relationships models},
  author={Nguyen, Tommy and Szymanski, Boleslaw K},
  booktitle={Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on},
  pages={1215--1221},
  year={2012},
  publisher={ASONAM},
  address={Istanbul, Turkey},
  organization={IEEE}
}

@article{steiger2015twitter,
  title={Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data},
  author={Steiger, Enrico and Westerholt, Ren{\'e} and Resch, Bernd and Zipf, Alexander},
  journal={Computers, Environment and Urban Systems},
  volume={54},
  pages={255--265},
  year={2015},
  publisher={Elsevier}
}

@article{cheng2011exploring,
  title={Exploring millions of footprints in location sharing services.},
  author={Cheng, Zhiyuan and Caverlee, James and Lee, Kyumin and Sui, Daniel Z},
  journal={ICWSM},
  volume={2011},
  pages={81--88},
  year={2011}
}

@article{birkin2014examination,
  title={An examination of personal mobility patterns in space and time using twitter},
  author={Birkin, Mark and Harland, Kirk and Malleson, Nicolas and Cross, Philip and Clarke, Martin},
  journal={International Journal of Agricultural and Environmental Information Systems (IJAEIS)},
  volume={5},
  number={3},
  pages={55--72},
  year={2014},
  publisher={IGI Global}
}

@inproceedings{ester1996density,
  title={A density-based algorithm for discovering clusters in large spatial databases with noise.},
  author={Ester, Martin and Kriegel, Hans-Peter and Sander, J{\"o}rg and Xu, Xiaowei and others},
  booktitle={Proceedings of the Second International Conference on Knowledge Discovery and Data Mining},
  volume={96},
  pages={226--231},
  year={1996},
  address={Menlo Park, California},
  publisher={AAAI Press}
}

@inproceedings{huang2014tweets,
 author = {Huang, Qunying and Cao, Guofeng and Wang, Caixia},
 title = {From Where Do Tweets Originate?: A GIS Approach for User Location Inference},
 booktitle = {Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks},
 series = {LBSN '14},
 year = {2014},
 isbn = {978-1-4503-3140-1},
 location = {Dallas/Fort Worth, Texas},
 pages = {1--8},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/2755492.2755494},
 doi = {10.1145/2755492.2755494},
 acmid = {2755494},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {big data, geography, human mobility, spatial clustering, spatiotemporal clustering},
} 

@PHDTHESIS{max2017,
  author = {Maxwell G. de Oliveira},
  title = {{Ontology-driven urban issues identification from social media.}},
  school = {Federal University of Campina Grande},
  year = {2017},
  address = {Brazil}
}

@inproceedings{jeronimo2016analyzing,
  title={Analyzing mobility patterns from social networks and social, economic and demographic open data.},
  author={Jer{\^o}nimo, Caio Lib{\^a}nio Melo and Campelo, Cl{\'a}udio EC and de Souza Baptista, Cl{\'a}udio},
  booktitle={Proceedings of the XVII Brazilian Symposium on Geoinformatics (GeoInfo 2016).},
  location = {Campos do Jordão, SP, Brazil},
  pages={32--43},
  year={2016}
}

@inproceedings{shin2008levy,
  title={On the Levy-walk nature of human mobility: Do humans walk like monkeys?},
  author={Shin, RM and Hong, S and Lee, K and Chong, S},
  booktitle={Proceeding IEEE INFOCOM},
  pages={924--932},
  location = {Phoenix, AZ, USA},
  year={2008}
}

@MastersThesis{chok2010pearson,
  title={Pearson's versus Spearman's and Kendall's correlation coefficients for continuous data},
  author={Chok, Nian Shong},
  year={2010},
  school={University of Pittsburgh}
}

@Article{Croux2010,
author="Croux, Christophe
and Dehon, Catherine",
title="Influence functions of the Spearman and Kendall correlation measures",
journal="Statistical Methods {\&} Applications",
year="2010",
month="Nov",
day="01",
volume="19",
number="4",
pages="497--515",
abstract="Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions and gross-error sensitivities. Since robustness of an estimator often comes at the price of an increased variance, we also compute statistical efficiencies at the normal model. We conclude that both the Spearman and Kendall correlation estimators combine a bounded and smooth influence function with a high efficiency. In a simulation experiment we compare these nonparametric estimators with correlations based on a robust covariance matrix estimator.",
issn="1613-981X",
doi="10.1007/s10260-010-0142-z",
url="https://doi.org/10.1007/s10260-010-0142-z"
}

@article{doi:10.1080/01621459.1966.10480879,
author = { William R.   Knight },
title = {A Computer Method for Calculating Kendall's Tau with Ungrouped Data},
journal = {Journal of the American Statistical Association},
volume = {61},
number = {314},
pages = {436-439},
year  = {1966},
publisher = {Taylor & Francis},
doi = {10.1080/01621459.1966.10480879},

URL = { 
        http://www.tandfonline.com/doi/abs/10.1080/01621459.1966.10480879
    
},
eprint = { 
        http://www.tandfonline.com/doi/pdf/10.1080/01621459.1966.10480879
    
}

}

@article{10.2307/2533093,
 ISSN = {0006341X, 15410420},
 URL = {http://www.jstor.org/stable/2533093},
 abstract = {The P-value is a random variable derived from the distribution of the test statistic used to analyze a data set and to test a null hypothesis. Under the null hypothesis, the P-value based on a continuous test statistic has a uniform distribution over the interval [0, 1], regardless of the sample size of the experiment. In contrast, the distribution of the P-value under the alternative hypothesis is a function of both sample size and the true value or range of true values of the tested parameter. The characteristics, such as mean and percentiles, of the P-value distribution can give valuable insight into how the P-value behaves for a variety of parameter values and sample sizes. Potential applications of the P-value distribution under the alternative hypothesis to the design, analysis, and interpretation of results of clinical trials are considered.},
 author = {H. M. James Hung and Robert T. O'Neill and Peter Bauer and Karl Kohne},
 journal = {Biometrics},
 number = {1},
 pages = {11-22},
 publisher = {[Wiley, International Biometric Society]},
 title = {The Behavior of the P-Value When the Alternative Hypothesis is True},
 volume = {53},
 year = {1997}
}


