In this paper we propose a comparative study of social network data related to three Asian-American student conferences: Taiwan-America Student Conference (TASC), Japan-America Student Conference (JASC) and Korea-America Student Conference (KASC). Such a study is built on the literature review of existing visualization methods and is based on the adoption of open source and freely available tools for Social Network Analysis (SNA). The main aim of this work is that of analyzing and comparing interaction patterns and sub-networks dynamics of attending students emerging from the collected data. In particular, data have been extracted in wide temporal horizons starting 30 days before and finishing 30 days after the application deadlines.
Visualizing Social Network Data: A Comparative Study of Asian-American Student Conferences / Palmieri, R.; Giglio, C.. - 7300893:(2015), pp. 714-721. (Intervento presentato al convegno 3rd International Conference on Future Internet of Things and Cloud, FiCloud 2015 tenutosi a ita nel 2015) [10.1109/FiCloud.2015.100].
Visualizing Social Network Data: A Comparative Study of Asian-American Student Conferences
Giglio C.
2015-01-01
Abstract
In this paper we propose a comparative study of social network data related to three Asian-American student conferences: Taiwan-America Student Conference (TASC), Japan-America Student Conference (JASC) and Korea-America Student Conference (KASC). Such a study is built on the literature review of existing visualization methods and is based on the adoption of open source and freely available tools for Social Network Analysis (SNA). The main aim of this work is that of analyzing and comparing interaction patterns and sub-networks dynamics of attending students emerging from the collected data. In particular, data have been extracted in wide temporal horizons starting 30 days before and finishing 30 days after the application deadlines.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
