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Analysis of Social Networks Extracted from Log Files

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F10%3A%230000463" target="_blank" >RIV/47813059:19520/10:#0000463 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Social Networks Extracted from Log Files

  • Original language description

    Modern applications generate huge amounts of data collections, often stored in log files. A log file is a simple text file, consisted on messages represented by the records of the activities provided. Whether the log record includes the information of the originator (a person, who performed the action), we can derive social networks on the basis of similar attributes of the persons and, in consequence, we can construct models that explain some aspects of persons' behavior. The chapter is oriented to significant data mining methods, used in recent research, with relation to social network analysis and with application to gathering information from the log files. Selected data mining methods are presented in the case study, where the development and visualization of synthetic social network based on the relationship between the students with similar study behavior in the elearning management system Moodle is described.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Handbook of Social Network Technologies and Applications

  • ISBN

    978-1-4419-7142-5

  • Number of pages of the result

    32

  • Pages from-to

  • Number of pages of the book

    716

  • Publisher name

    Springer Verlag

  • Place of publication

    New York

  • UT code for WoS chapter