A Project Teams Creation Based on Communities Detection

Bibliographic Details
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]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики и математической физики (ВММФ)
Other Authors: Semenov M. E. Mikhail Evgenievich, Bulygin L. E. Lev Eduardovich, Koroleva E. A. Elena Aleksandrovna, Tursunov D. A. Dilmurat Abdillazhanovich
Summary: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
Language:English
Published: 2016
Subjects:
Online Access:http://ceur-ws.org/Vol-1710/paper30.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654859
Description
Summary: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