Call for Applications:
The Third CityU Summer School in Social Science Research
Social Network Analysis of Social Media – Tracking Patterns of Information Flow, Emerging Communities and Influential Users
CityU Summer School in Social Science Research is aimed at offering advanced graduate-level training in methodologies and technologies of social science research. This year, the Summer School will focus on the latest approaches in computational social science, with a particular emphasis on social network analysis. Applications from both PhD and advanced MA/MPhil students are encouraged and CityU will provide full tuition waiver and accommodation for 10 most qualified applicants.
Where: City University of Hong Kong, Hong Kong S.A.R, China
When: June 1-4th, 2017
Application deadline: April 7, 2017
Notifications by: April 17, 2017
Bio: Itai Himelboim is Associate Professor of Advertising and Director of the SEE Suite: Social media Engagement & Evaluation at University of Georgia. His research involves computer-mediated social networks and their implications for political communication, international communication and the news. His research has been published in renowned peer-reviewed journals including Journalism and Mass Communication Quarterly, Journal of Broadcasting and Electronic Media, Communication Research, Journal of Computer-Mediated Communication (JCMC) and New Media & Society.
Title: Social Network Analysis of Social Media – Tracking patterns of information flow, emerging communities and influential users.
Description: Social activities take place on social media, across areas of research and interests, including news, health, politics, social activism, brand, sports, and many more. Network analysis examines patterns of relationships among users – such as engagement and information channels – measures and maps their structures, and identifies key users and communities. In this workshop, we will use the NodeXL Pro software, to collect, analyze and visualize social media networks. We will focus primarily on Twitter, but will touch other social media spaces as well. We will start by learning the foundations of social network analysis, and them continue to identifying users in key positions, major information sources, patterns of information flow, and key communities in the network. We will use sample datasets, as well as data that will be collected by the participants, based on their own areas of interest.
In addition to the course on social network analysis of social media taught by Dr. Himelboim, several workshops and seminars will be held by City U faculty and guest speakers.