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User Community Discovery pp 1–22Cite as

Discovery of Complex User Communities

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Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

This chapter serves as an introduction to the book on User Community Discovery, setting the scene for the presentation in the rest of the book of various methods for the discovery of user communities in the social Web. In this context, the current chapter introduces the various types of user community, as they appeared in the early days of the Web, and how they converged to the common concept of active user community in the social Web. In this manner, the chapter aims to clarify the use of terminology in the various research areas that study user communities. Additionally, the main approaches to discovering user communities are briefly introduced and a number of new challenges for community discovery in the social Web are highlighted. In particular we emphasize the complexity of the networks that are constructed among users and other entities in the social Web. Social networks are typically multi-modal, i.e. containing different types of entity, multi-relational, i.e. comprising different relation types, and dynamic, i.e. changing over time. The complexity of the networks calls for new versatile and efficient methods for community discovery. Details about such methods are provided in the rest of the book.

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Notes

  1. 1.

    Although the term “community discovery” is more suitable to describe this process, throughout the text we adopt the term “community detection”, which is the prevalent term used in the literature to refer to this problem.

  2. 2.

    Centrality quantifies how often nodes belong to the paths connecting other nodes.

  3. 3.

    http://grouplens.org/datasets/hetrec-2011/.

  4. 4.

    http://digg.com/.

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Authors and Affiliations

  1. Institute of Informatics and Telecommunications, NCSR “Demokritos”, Patr. Grigoriou and Neapoleos Street, 15310, Aghia paraskevi, Attiki, Greece

    Georgios Paliouras & Dimitrios Vogiatzis

  2. Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece

    Symeon Papadopoulos

  3. The American College of Greece, Athens, Greece

    Dimitrios Vogiatzis

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  1. Georgios Paliouras
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  2. Symeon Papadopoulos
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  3. Dimitrios Vogiatzis
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Correspondence to Georgios Paliouras .

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Editors and Affiliations

  1. Inst.of Informatics and Tele- communications Nat. Center for, Ag.Paraskevi, Greece

    Georgios Paliouras

  2. Information Technologies Institute, CERTH, Thermi, Thessaloniki, Greece

    Symeon Papadopoulos

  3. Institute of Informatics, NCSR Demokritos, Aghia Paraskevi, Greece

    Dimitrios Vogiatzis

  4. Informatics and Telematics Institut Centre for Research & Technology He, Thermi-Thessaloniki, Greece

    Yiannis Kompatsiaris

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Paliouras, G., Papadopoulos, S., Vogiatzis, D. (2015). Discovery of Complex User Communities. In: Paliouras, G., Papadopoulos, S., Vogiatzis, D., Kompatsiaris, Y. (eds) User Community Discovery. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-23835-7_1

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