Analysis and Visualization of Relations in eLearning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076517" target="_blank" >RIV/61989100:27240/10:86076517 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/47813059:19520/10:#0000462

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis and Visualization of Relations in eLearning

Popis výsledku v původním jazyce

This chapter focuses on searching of latent social networks in eLarning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity.

Název v anglickém jazyce

Analysis and Visualization of Relations in eLearning

Popis výsledku anglicky

This chapter focuses on searching of latent social networks in eLarning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Computational Social Network Analysis: Trends, Tools and Research Advances

ISBN

978-1-84882-228-3

Počet stran výsledku

27

Strana od-do

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Počet stran knihy

485

Název nakladatele

SPRINGER

Místo vydání

New York

Kód UT WoS kapitoly

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