Learning about Network Science Research

workshop2_Prof. Hossain

January 14, 2014

14:00 – 17:00

Room 820, Meng Wah Building, The University of Hong Kong

Professor Liaquat Hossain, University of Hong Kong

This workshop is part of Winter Institute 2014.

Description

This is an introductory workshop on social network analysis for investigating complex social systems. I will highlight the data collection procedure, its benefits and limitations and standard measures of social network data.  The collection and analysis of relational and attribute data offers richer insights with regards to the investigation of structural effects of network position on learning outcomes. Second, drawing from theoretical and methodological strengths of previous studies conducted in complex systems, I will describe the process for collecting relational data and primarily discuss two specific types of social network data collection approaches–(i) whole network and (ii) ego-centric network approach; and highlight its opportunities and challenges. Finally, I will discuss the problem of network sampling and challenges associated with analyzing social network data.

Resources

Response code is 404

Related to

January 13, 2014   ◎Winter Institute

◎Winter Institute

Winter Institute 2014

Learning is a complex phenomenon occurring at many different levels from cells inside our brains to whole societies. In Winter Institute 2014, we featured two keynotes and two research workshops that would help us to understand learning as a network based phenomenon from neural networks to social networks. Response code is 404
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13 Jan 2014   Subtheme 1※Integrating Neural, Cognitive and Pedagogical Approaches to Learning Research and Educational Intervention, ◎Winter Institute (Part of), ◎Workshops
complex social systems, ego-centric network, social network data,

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