Skip to main content

Collective Intelligence, Overview

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


Emergent semantics; Social media analysis



A set of nodes and edges connecting the nodes


A graph that assigns some semantics to the nodes and kind of interaction for the links


social network analysis is the study of social network characteristics and dynamics

Data mining:

Extracting implicit information from a domain

Community detection:

A class of network analysis algorithms that identify groups of nodes that are densely connected


A kind of analysis involving more than one media or metadata types (e.g., text, image, geo-location)


User-generated content, multimedia content (image, text) that is created/captured by casual users and shared online


Recent advances of Web technologies have effectively turned ordinary people into active members of the Web: casual users act as codevelopers, and their interactions and collaborations with each other have added a new social dimension on Web data. For example, Wikipedia (

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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


  • (16)Au Yeung CM, Gibbins N, Shadbolt N (2009) Contextualising tags in collaborative tagging systems. In: HT '09: proceedings of 20th ACM conference on hypertext and hypermedia, Torino, Italy, pp 251–260

    Google Scholar 

  • De Choudhury M, Feldman M, Amer S, Golbandi N, Lempel R, Yu C (2010) Automatic construction of travel itineraries using social breadcrumbs. In: Proceedings of 21st ACM conference on hypertext and hypermedia, Toronto, Canada, pp 35–44

    Google Scholar 

  • Gemmell J, Shepitsen A, Mobasher B, Burke R (2008) Personalizing navigation in folksonomies using hierarchical tag clustering. In: DaWaK '08: proceedings of 10th international conference on data warehousing and knowledge discovery, Torino, Italy, pp 196–205

    Google Scholar 

  • Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457:1012–1014

    Google Scholar 

  • Girardin F, Calabrese F, Dal Fiore F, Ratti C, Blat J (2008) Digital footprinting: uncovering tourists with user-generated content. IEEE Pervasive Comput 7(4): 36–43

    Google Scholar 

  • Henrich A, Lüdecke V (2008) Determining geographic representations for arbitrary concepts at query time. In: Proceedings of first international workshop on location and the web, Beijing, China, pp 17–24

    Google Scholar 

  • Hinze A, Voisard A (2003) Location and time-based information delivery in tourism, Advances in spatial and temporal databases. Lect Notes Comput Sci 2750: 489–507

    Google Scholar 

  • Jeon J, Lavrenko V, Manmatha R (2003) Automatic image annotation and retrieval using crossmedia relevance models. Proceedings of 26th annual international ACM SIGIR conference on research and development in information retrieval, Toronto, Canada, pp 119–126

    Google Scholar 

  • Jin X, Gallagher A, Cao L, Luo J, Han J (2010) The wisdom of social multimedia: using flickr for prediction and forecast, MM '10 proceedings of international conference on multimedia, Florence, Italy, pp 1235–1244

    Google Scholar 

  • Kalantidis Y, Tolias G, Avrithis Y, Phinikettos M, Spyrou E, Mylonas P, Kollias S (2011) VIRaL: visual image retrieval and localization. Multimedia Tools Appl 51(2):555–592

    Google Scholar 

  • Kendall T, Zhou D (2009) Leveraging information in a social network for inferential targeting of advertisements, US Patent App. 12/419,958

    Google Scholar 

  • Kennedy LS, Naaman M, Ahern S, Nair R, Rattenbury T (2007) How flickr helps us make sense of the world: context and content in community-contributed media collections. In: Proceedings of the ACM multimedia '07, Augsburg, Germany, pp 631–640

    Google Scholar 

  • Li J, Wang JZ (2003) Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans Pattern Anal Mach Intell 25:1075–1088

    Google Scholar 

  • Lin YR, Candan KS, Sundaram H, Xie L (2011) Scent: scalable compressed monitoring of evolving multi-relational social networks. ACM Trans Multimedia Comput Commun Appl 75(1)29:1–22

    Google Scholar 

  • Liu D, Hua XS, Wang M, Zhang HJ (2010) Retagging social images based on visual and semantic consistency. In: Proceedings of 19th international conference on world wide web, WWW'10, Raleigh, NC, USA, pp 1149–1150

    Google Scholar 

  • Macskassy SA, Provost F (2007) Classification in networked data: a toolkit and a univariate case study. J Mach Learn Res 8:935–983

    Google Scholar 

  • Nikolopoulos S, Giannakidou E, Kompatsiaris I, Patras I, Vakali A (2011) Combining multi-modal features for social media analysis. In: Hoi S, Luo J, Boll S, Xu D, Jin R, King I (eds) Social media modeling and computing, 1st edn, VIII. Springer, Berlin, pp 71–96. ISBN: 978-0-85729-435-7

    Google Scholar 

  • Papadopoulos S, Zigkolis C, Kompatsiaris Y, Vakali A (2011a) Cluster-based landmark and event detection on tagged photo collections. IEEE Multimedia 18(1):52–63

    Google Scholar 

  • Papadopoulos S, Zigkolis C, Kapiris S, Kompatsiaris Y, Vakali A (2011b) City exploration by use of spatio-temporal analysis and clustering of user contributed photos. Demo paper in ACM international conference on multimedia retrieval (ICMR), Trento, Italy, pp 65:1–65:2

    Google Scholar 

  • Quack T, Leibe B, Van Gool L (2008) World-scale mining of objects and events from community photo collections. In: Proceedings of the international conference on content-based image and video retrieval, Niagara Falls, Canada, pp 47–56

    Google Scholar 

  • Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: World wide web conference, Raleigh, NC, USA, pp 851–860

    Google Scholar 

  • Schifanella R, Barrat A, Cattuto C, Markines B, Menczer F (2010) Folks in folksonomies: social link prediction from shared metadata. In: WSDM '10: procedings of the 3rd ACM international conference on web search and data mining, New York City, USA, pp 271–280

    Google Scholar 

  • Signorini A (2011) Swine flu monitoring using twitter. wineflu/. Last accessed: 25 October 2011

    Google Scholar 

  • Specia L, Motta E (2007) Integrating folksonomies with the semantic web. In: ESWC '07: proceedings of 4th European conference on the semanticWeb, Innsbruck, Austria, pp 624–639

    Google Scholar 

  • Tang L, Liu H (2011) Leveraging social media networks for classification. Data Min Knowl Disc 23:447–478

    MATH  MathSciNet  Google Scholar 

  • Wen Z, Lin CY (2010) On the quality of inferring interests from social neighbors. In: Proceedings of 16th ACM SIGKDD international conference on knowledge discovery and data mining (KDD'10), Washington, DC, USA, pp 373–382

    Google Scholar 

  • Wu X, Ngo CW, Hauptmann AG, Tan HK (2009) Real-time near-duplicate elimination for web video search with content and context. IEEE Trans Multimedia 11(2):196–207

    Google Scholar 

  • Yang YH, Wu PT, Lee CW, Lin KH, Hsu WH, Chen HH (2008) ContextSeer: context search and recommendation at query time for shared consumer photos. In: Proceedings of the 16th ACM international conference on multimedia (MM '08), Vancouver, Canada, pp 199–208

    Google Scholar 

  • Zhang T, Ramakrishnan R, Livny M (1996) BIRCH: an efficient data clustering method for very large databases. SIGMOD Rec 25(2):103–114

    Google Scholar 

  • Zhou D, Bousquet O, Lal TN, Weston J, Schölkopf B (2004) Learning with local and global consistency. Adv NIPS 16:321–328

    Google Scholar 

Download references

Author information

Authors and Affiliations


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

Kompatsiaris, D.Y., Diplaris, D.S., Papadopoulos, D.S. (2014). Collective Intelligence, Overview. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY.

Download citation

Publish with us

Policies and ethics