Analysis of Social Networks Extracted from Log Files

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Social Networks Extracted from Log Files

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of Social Networks Extracted from Log Files

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Handbook of Social Network Technologies and Applications

ISBN

978-1-4419-7142-5

Počet stran výsledku

32

Strana od-do

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Počet stran knihy

716

Název nakladatele

Springer Verlag

Místo vydání

New York

Kód UT WoS kapitoly

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