Seminar

Abstract:

Science is a social system integrated by peer recognition in various forms. The advancement of science is a collective activity, in which scientific communities play an important role. Social network analysis of the scientific community contributes to our understanding of scientific knowledge production.

The present study illustrates the use of social network approach to uncover the pattern of knowledge production from three perspectives: 1, for individual scholars in the field of communication, preferential attachment (choose those who are popular) is the most dominant mechanism for choosing collaborators in the early stage, but homophily (choose those who share similar interest) becomes the most dominant mechanism afterwards; 2, the comparison of a semantic network and co-citation network reveals that there is a divided community of shared concerns in the field of e-health, in which scholars share more common interest than they appear to recognize; and 3, the analysis of collaboration network at national level finds a reinforcing hegemonic globalization typology in which the West is in the center, although Asian and European countries are rising in a dependent way.

Bio:

Zhenzhen Wang received her PhD in Communication from City University in 2015.  Her research interest includes knowledge production and social network analysis. She published on journals such as Scientometrics and International Journal of Modern Physics C. She was the winner of 2015 top Paper award from GCSC division of International Communication Association. She is currently a data analyst in Open Rice Limited, focusing on big data solutions and business analysis.

Date:                 14 February, 2017 (Tuesday)

Time:                11:00 am – 12:00 noon

Venue:              Room 14-222, 14/F, Lau Ming Wai Academic Building (AC 3) City University of Hong Kong

Enquiry:  34428551