Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Big Data Technologies pp 1–5Cite as

Spatio-Social Data

  • 199 Accesses

Synonyms

GeoSocial data; Spatial data

Definition

In the past decade, social networking services, e.g., Facebook and Twitter, managed to unprecedentedly connect hundreds of millions of people all over the world. Users register to online social networks in order to keep in touch with their friends and family, learn about their news, get recommendations from them, and engage in online social events. Thanks to the widespread use of mobile and wearable devices, popular social networks, e.g., Facebook, prompt users to add spatial attributes to social entities, e.g., check-ins, posts, and geo-tagged photos. Such spatial attributes are already being tied to social networking data to form what we call, Spatio-Social Data. Spatio-Social data brings both the physical space, social relationships, user interactions, and social media content into effect together, which led to the rise of many interesting applications. For instance, users in a location-based social networking service (e.g.,...

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

References

  • Abdelhaq H, Sengstock C, Gertz M (2013) EvenTweet: online localized event detection from Twitter. In: VLDB

    Google Scholar 

  • Armenatzoglou N, Papadopoulos S, Papadias D (2013) A general framework for geo-social query processing. Proc VLDB Endow 6(10):913–924

    Google Scholar 

  • Bao J, Mokbel MF, Chow C-Y (2012) Geofeed: a location aware news feed system. In: 2012 IEEE 28th international conference on data engineering. IEEE, pp 54–65

    Google Scholar 

  • Budak C, Georgiou T, Agrawal D, Abbadi AE (2014) GeoScope: online detection of geo-correlated information trends in social networks. In: VLDB

    Google Scholar 

  • Busch M, Gade K, Larson B, Lok P, Luckenbill S, Lin J (2012) Earlybird: real-time search at Twitter. In: ICDE

    Google Scholar 

  • Chen Y, Chen Y (2008) An efficient algorithm for answering graph reachability queries. In: Proceedings of the IEEE international conference on data engineering, ICDE

    Google Scholar 

  • Fan W, Li J, Ma S, Tang N, Wu Y (2011) Adding regular expressions to graph reachability and pattern queries. In: Proceedings of the IEEE international conference on data engineering, ICDE

    Google Scholar 

  • Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst TOIS 22(1):5–53

    Google Scholar 

  • Hjaltason GR, Samet H (1999) Distance browsing in spatial databases. ACM TODS 24(2):265–318

    Google Scholar 

  • Jin R, Hong H, Wang H, Ruan N, Xiang Y (2010) Computing label-constraint reachability in graph databases. In: Proceedings of the ACM international conference on management of data, SIGMOD

    Google Scholar 

  • Koutrika G, Bercovitz B, Garcia-Molina H (2009) FlexRecs: expressing and combining flexible recommendations. In: Proceedings of the ACM international conference on management of data, SIGMOD, pp 745–758

    Google Scholar 

  • Kyrola A, Blelloch G, Guestrin C (2012) PowerGraph: distributed graph-parallel computation on natural graphs. In: Proceedings of the USENIX symposium on operating system design and implementation, USENIX OSDI

    Google Scholar 

  • Levandoski JJ, Sarwat M, Eldawy A, Mokbel MF (2012a) LARS: a location-aware recommender system. In: Proceedings of the international conference on data engineering, ICDE

    Google Scholar 

  • Levandoski JJ, Sarwat M, Mokbel MF, Ekstrand MD (2012b) RecStore: an extensible and adaptive framework for online recommender queries inside the database engine. In: Proceedings of the international conference on extending database technology, EDBT

    Google Scholar 

  • Li R, Lei KH, Khadiwala R, Chang KC-C (2012) TEDAS: a Twitter-based event detection and analysis system. In: ICDE

    Google Scholar 

  • Magdy A, Mokbel MF, Elnikety S, Nath S, He Y (2014) Mercury: a memory-constrained spatio-temporal real-time search on microblogs. In: ICDE, pp 172–183

    Google Scholar 

  • Marcus A, Bernstein MS, Badar O, Karger DR, Madden S, Miller RC (2011) Twitinfo: aggregating and visualizing microblogs for event exploration. In: CHI

    Google Scholar 

  • Prabhakaran V, Wu M, Weng X, McSherry F, Zhou L, Haridasan M (2012) Managing large graphs on multi-cores with graph awareness. In: Proceedings of the USENIX symposium annual technical conference, USENIX ATC

    Google Scholar 

  • Sankaranarayanan J, Samet H, Teitler BE, Lieberman MD, Sperling J (2009) TwitterStand: news in Tweets. In: SIGSPATIAL

    Google Scholar 

  • Sarwat M, Sun Y (2017) Answering location-aware graph reachability queries on geosocial data. In: Proceedings of the international conference on data engineering, ICDE

    Google Scholar 

  • Sarwat M, Elnikety S, He Y, Kliot G (2012) Horton: online query execution engine for large distributed graphs. In: Proceedings of the international conference on data engineering, ICDE

    Google Scholar 

  • Sarwat M, Eldawy A, Mokbel MF, Riedl J (2013a) PLUTUS: leveraging location-based social networks to recommend potential customers to venues. In: Proceedings of the international conference on mobile data management, MDM

    Google Scholar 

  • Sarwat M, Elnikety S, He Y, Mokbel MF (2013b) Horton+: a distributed system for processing declarative reachability queries over partitioned graphs. PVLDB 6(14):1918–1929

    Google Scholar 

  • Sarwat M, Levandoski JJ, Eldawy A, Mokbel MF (2014) LARS*: an efficient and scalable location-aware recommender system. IEEE Trans Knowl Data Eng TKDE 26(6):1384–1399

    Google Scholar 

  • Sarwat M, Moraffah R, Mokbel MF, Avery JL (2017) Database system support for personalized recommendation applications. In: Proceedings of the international conference on data engineering, ICDE

    Google Scholar 

  • Shao B, Wang H, Li Y (2013) Trinity: a distributed graph engine on a memory cloud. In: Proceedings of the ACM international conference on management of data, SIGMOD

    Google Scholar 

  • Skovsgaard A, Sidlauskas D, Jensen CS (2014) Scalable top-k spatio-temporal term querying. In: ICDE, pp 148–159

    Google Scholar 

  • Tweet Tracker (2013) TweetTracker: track, analyze, and understand activity on Twitter. http://tweettracker.fulton.asu.edu/

  • Watanabe K, Ochi M, Okabe M, Onai R (2011) Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs. In: CIKM

    Google Scholar 

  • Wu L, Lin W, Xiao X, Xu Y (2013) LSII: an indexing structure for exact real-time search on microblogs. In: ICDE

    Google Scholar 

  • Yao J, Cui B, Xue Z, Liu Q (2012) Provenance-based indexing support in micro-blog platforms. In: ICDE

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Mohamed Sarwat & Yuhan Sun

Authors
  1. Mohamed Sarwat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuhan Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Mohamed Sarwat or Yuhan Sun .

Editor information

Editors and Affiliations

  1. School of Comp. Sci. and Engineering, University of New South Wales School of Comp. Sci. and Engineering, Eveleigh, New South Wales, Australia

    Sherif Sakr

  2. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

Section Editor information

  1. No affiliation provided

    Timos Sellis

  2. No affiliation provided

    Aamir Cheema

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Sarwat, M., Sun, Y. (2018). Spatio-Social Data. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_69-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63962-8_69-1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

  • eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Chapter history

  1. Latest

    Spatio-social Data
    Published:
    24 May 2022

    DOI: https://doi.org/10.1007/978-3-319-63962-8_69-2

  2. Original

    Spatio-Social Data
    Published:
    08 March 2018

    DOI: https://doi.org/10.1007/978-3-319-63962-8_69-1

Search

Navigation