Skip to main content
Springer Nature Link
Log in

GeoSocial Data Analytics

  • Reference work entry
  • First Online:
Encyclopedia of GIS

  • 323 Accesses

FormalPara Synonyms

Friendships; Implicit social connections; Social strength

Definition

The ubiquity of mobile devices has enabled Location-Based Social Networks (LBSN), such as Foursquare and Twitter, to collect large datasets of people’s locations, which tell who has been where and when. Such a collection of people’s locations over time (aka spatiotemporal data) is a rich source of information for studying various social behaviors. One particular behavior that has gained considerable attention in research and has numerous online applications is whether social relationships among people can be inferred from spatiotemporal data and how to estimate the strength of each relationship quantitatively (aka social strength ). The intuition is that if two people have been to the same places at the same time (aka co-occurrences ), there is a good chance that they are socially related. Thus, the goal is to derive the implicitsocial network of people and the social strength from their...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022

    MATH  Google Scholar 

  • Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: Proceedings of the 17th ACM SIGKDD (KDD’11), New York, pp 1082–1090

    Google Scholar 

  • Crandall DJ, Backstrom L, Cosley D, Suri S, Huttenlocher D, Kleinberg J (2010) Inferring social ties from geographic coincidences. Proc Natl Acad Sci 107(52):22436–22441

    Article  Google Scholar 

  • Cranshaw J, Toch E, Hong J, Kittur A, Sadeh N (2010) Bridging the gap between physical location and online social networks. In: Proceedings of the 12th ACM international conference on ubiquitous computing (Ubicomp ’10), New York. ACM, pp 119–128

    Chapter  Google Scholar 

  • Eagle N, Pentland A (Sandy), Lazer D (2009) Inferring friendship network structure by using mobile phone data. Proc Natl Acad Sci 106(36):15274– 15278

    Google Scholar 

  • Hill MO (1973) Diversity and evenness: a unifying notation and its consequences. Ecology 54: 427–432

    Article  Google Scholar 

  • Jost L (2006) Entropy and diversity. Oikos 113(2):363–375

    Article  Google Scholar 

  • Kempe D, Kleinberg J, Tardos É (2003) Maximizing the spread of influence through a social network. In: Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining. ACM, Washington, DC, pp 137–146

    Chapter  Google Scholar 

  • Li Q, Zheng Y, Xie X, Chen Y, Liu W, Ma W-Y (2008) Mining user similarity based on location history. In: Proceedings of the 16th ACM SIGSPATIAL (GIS ’08), New York. ACM, pp 34:1–34:10

    Google Scholar 

  • Pham H, Hu L, Shahabi C (2011) Towards integrating real-world spatiotemporal data with social networks. In: Proceedings of the 19th ACM SIGSPATIAL (GIS ’11), New York. ACM, pp 453–457

    Google Scholar 

  • Pham H, Shahabi C, Liu Y (2013) Ebm: an entropy-based model to infer social strength from spatiotemporal data. In: Proceedings of the 2013 international conference on management of data. ACM, New York, NY, pp 265–276

    Google Scholar 

  • Renyi A (1960) On measures of entropy and information. In: Berkeley symposium mathematics, statistics, and probability, Berkeley, CA, pp 547–561

    Google Scholar 

  • Samet H (1984) The quadtree and related hierarchical data structures. ACM Comput Surv 16(2):187–260

    Article  MathSciNet  Google Scholar 

  • Scellato S, Mascolo C, Musolesi M, Latora V (2010) Distance matters: geo-social metrics for online social networks. In: Proceedings of the 3rd conference on online social networks, Boston, MA, pp 8–8

    Google Scholar 

  • Scellato S, Noulas A, Lambiotte R, Mascolo C (2011) Socio-spatial properties of online location-based social networks. ICWSM 11:329–336

    Google Scholar 

  • Schroeder DV, Gould H (2000) An introduction to thermal physics. Phys Today 53(8):44–45

    Article  Google Scholar 

  • Tuomisto H (2010a) A consistent terminology for quantifying species diversity? Yes, it does exist. Oecologia 164:853–860. doi:10.1007/s00442-010-1812-0

    Article  Google Scholar 

  • Tuomisto H (2010b) A diversity of beta diversities: straightening up a concept. Ecography 33(1):2–22

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of Southern California, 90089-0781, Los Angeles, CA, USA

    Cyrus Shahabi

  2. Information Laboratory (InfoLab), Computer Science Department, University of Southern California, 90089-0781, Los Angeles, CA, USA

    Huy Van Pham

Authors
  1. Cyrus Shahabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huy Van Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cyrus Shahabi .

Editor information

Editors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Shashi Shekhar

  2. Management Science and Information Systems Department, Rutgers Business School, Rutgers, The State University of New Jersey, Newark, NJ, USA

    Hui Xiong

  3. Department of Management Sciences, Tippie College of Business, University of Iowa, Iowa City, IA, USA

    Xun Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this entry

Cite this entry

Shahabi, C., Van Pham, H. (2017). GeoSocial Data Analytics. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1566

Download citation

Publish with us

Policies and ethics