Skip to main content

Transforming and Integrating Social Networks and Social Media Data

  • Reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining

Synonyms

Data integration; Data transformation; Querying and sampling social networks; Restructuring social networks

Glossary

Data Model:

An abstraction that defines a data structure (data elements and their relations), a set of operations (a language), and a set of integrity constraints

Database:

Collection of data organized following a data model and collected and maintained with a purpose

Data Base Management System (DBMS):

A software system that implements a data model and provide data management services to other applications

Schema:

Metadata that describes and defines the constraints (e.g., types, domains, and dependencies) over the data in a database

Transformation Language:

A set of operations to map a database from one schema to another

Social Networks (SN):

A set of actors and the relations among them; both actors and relations may be described by attributes

Social Media:

Social networks that include diverse types of media (e.g., text, photographies, and videos)

...

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,500.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abiteboul S, Hull R, Vianu V (1995) Foundations of databases, 1st edn. Addison-Wesley, Boston

    MATH  Google Scholar 

  • Amer-Yahia S, Lakshmanan LVS, Yu C (2009) SocialScope: enabling information discovery on social content sites. In: CIDR, Asilomar. http://www.crdrdb.org

    Google Scholar 

  • Angles R, Gutierrez C (2008) Survey of graph database models. ACM Comput Surv (CSUR) 40(1): 1–39

    Google Scholar 

  • Blau H, Immerman N, Jensen D (2002) A visual language for querying and updating graphs. Computer Science Technical Report 2002–037, University of Massachusetts, Amherst

    Google Scholar 

  • Consens MP, Mendelzon AO (1990) GraphLog: a visual formalism for real life recursion. In: PODS, Nashville. ACM, New York, pp 404–416

    Google Scholar 

  • de Nooy W, Mrvar A, Batagelj V (2005) Exploratory social network analysis with Pajek. Cambridge University Press, Cambridge

    Google Scholar 

  • Dries A, Nijssen S, Raedt LD (2009) A query language for analyzing networks. In: Cheung DWL, Song IY, Chu WW, Hu X, Lin JJ (eds) CIKM, Hong Kong. ACM, New York, pp 485–494

    Google Scholar 

  • Fagin R, Kolaitis PG, Popa L, Tan WC (2005) Composing schema mappings: second-order dependencies to the rescue. ACM Trans Database Syst 30(4): 994–1055

    Google Scholar 

  • Florescu D, Levy A, Mendelzon A (1998) Database techniques for the World-Wide Web: a survey. SIGMOD Rec 27(3):59–74

    Google Scholar 

  • Freeman LC (2004) The development of social network analysis. Empirical, Vancouver

    Google Scholar 

  • Freeman LC (2011) The development of social network analysis - with an emphasis on recent events. In: Scott J, Carrington PJ (eds) The SAGE handbook of social network analysis. Sage, London, pp 26–39

    Google Scholar 

  • Freeman LC, Romney AK, Douglas R White (1992) Research methods in social network analysis. Transaction, New Brunswick

    Google Scholar 

  • Furche T, Bry F, Schaffert S, Orsini R, Horrocks I, Krauss M, Bolzer O (2004) Survey over existing query and transformation languages. http://rewerse.net/deliverables/m24/i4-d9a.pdf. Accesed 23 Jan 2013

  • Guting R (1994) GraphDB: modeling and querying graphs in databases. In: 20th VLDB conference, Santiago de Chile, pp 297–308

    Google Scholar 

  • Lakshmanan LVS, Sadri F, Subramanian SN (2001) SchemaSQL: an extension to SQL for multidatabase interoperability. ACM Trans Database Syst 26(4): 476–519

    MATH  Google Scholar 

  • Ronen R, Shmueli O (2009) SoQL: a language for querying and creating data in social networks. In: ICDE, Shanghai. IEEE, Piscataway, pp 1595–1602

    Google Scholar 

  • San Martín M (2012) A model for social networks data management. PhD thesis, Universidad de Chile. http://www.tesis.uchile.cl/handle/2250/111467

  • San Martín M, Gutierrez C, Wood PT (2011) SNQL: a social networks query and transformation language. In: Barcelo P, Tannen V (eds) AMW, CEUR workshop proceedings, Santiago, vol 749. CEUR-WS.org

    Google Scholar 

  • Scott J (2000) Social network analysis, 2nd edn. Sage, London

    Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications, 1st edn. Structural analysis in the social sciences. Cambridge University Press, Cambridge

    Google Scholar 

Recommended Reading

  • • For the base requirements for the common standard data model for SN&M data transformation and integration, see Freeman et al. (1992, Chap. 1).

    Google Scholar 

  • • For the complete discussion and formal definition of the common standard data model, see San Martín (2012).

    Google Scholar 

  • • For a discussion on transformation languages on the Web, see Florescu et al. (1998).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

San Martín, M., Gutierrez, C. (2014). Transforming and Integrating Social Networks and Social Media Data. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_389

Download citation

Publish with us

Policies and ethics