A Project Teams Creation Based on Communities Detection

Podrobná bibliografie
Parent link:CEUR Workshop Proceedings: Online Proceedings for Scientific Conferences and Workshops
Vol. 1710 : AIST’2016 — Analysis of Images, Social Networks and Texts.— 2016.— [P. 303-314]
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики и математической физики (ВММФ)
Další autoři: Semenov M. E. Mikhail Evgenievich, Bulygin L. E. Lev Eduardovich, Koroleva E. A. Elena Aleksandrovna, Tursunov D. A. Dilmurat Abdillazhanovich
Shrnutí:Title screen
The purpose of this study is to detect project teams in a group. A key point in considering group’s relationships is the reciprocal influence, whereby group’s members influence each other. There was conducted a survey based on reciprocal nomination method, and then a social network was constructed. Participants were first-year bachelor students of Tomsk Polytechnic University. Various social network analysis algorithms were used to cluster network in communities. The results of analysis were discussed with the teachers and students, and then detected community teams were adjusted within the key actors of group. The results of the study may be used to create project teams, which can make successful collective actions in educational projects
Jazyk:angličtina
Vydáno: 2016
Témata:
On-line přístup:http://ceur-ws.org/Vol-1710/paper30.pdf
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654859

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