One paper accepted by PacificVis 2019

January 8, 2019 by · Leave a Comment
Filed under: Conference, People, Publications, Research 

A paper, entitled “Visual Analytics of Dynamic Interplay Between Behaviors in MMORPGs”, has recently been accepted for publication and presentation at PacificVis 2019. Two members of the Web Mining Lab, Dr. Winson Peng, and Mr. Ji Lan, participated in this study.

They work with a group of computer scientists at Zhejiang University to develop a visual analytic system which enables users to study the dynamic interplay between players’ purchase and communication behaviors in Massively Multiplayer Online Role-Playing Games (MMORPGs) and investigate how local and global social structures among game players will contribute to such interplay.

Dr. Winson Peng is now an associate professor at Michigan State University. Mr. Ji Lan is now a joint PhD student co-supervised by Prof. Jonathan Zhu at City University of Hong Kong and Dr. Yingcai Wu at Zhejiang University.

PacificVis is an IEEE sponsored international visualization symposium, which is also a recommended international conference in Computer Graphics and Multimedia by China Computer Federation. The Pacific Visualization 2019 will be held in Bangkok, Thailand from April 23 to 26, 2019.

Paper on Public Discussions of Occupy Wall Street Accepted by CBS

January 5, 2013 by · Leave a Comment
Filed under: Publications, Research 

The paper Discussing Occupy Wall Street on Twitter: Longitudinal Network Analysis of Equality, Emotion, and Stability of Public Discussion coauthored by Cheng-Jun Wang, Pian-pian Wang and Jonathan Zhu has been accepted by Cyberpsychology, Behavior, and Social Networking which is ranked 4 out of 72  in the Communication category of the Journal Citation Report 2011 (Social Sciences Edition, sorted by 5-Year Impact Factor) .

The paper will be published in the special issue on social media as a research environment, edited by Guest editors Michael W. Macy and Scott A. Golder. As a platform for online discussion, Twitter provides an opportunity for both collecting data and matching different theoretical statements about an ideal public sphere with unobtrusive observations. The paper aims to evaluate the quality of public discussion about social movements on Twitter and to understand the structural features and evolution of longitudinal discussion networks. They analyzed the tweets about the Occupy Wall Street movement posted over a course of 16 days by investigating the relationship between inequality, emotion, and the stability of online discussion. In terms of the quality of public discussion on Twitter, the findings imply that although the discussion is highly unequal, it tends to be rational, objective, and strategic. The implications help to evaluate the quality of public discussion, and to understand the relationship between online discussion and social movements.

(Cheng-Jun)

Paper on Internet Studies (2000-09) Accepted by NMS

June 6, 2012 by · Leave a Comment
Filed under: News, Publications, Research 

After three rounds of revision over 18 months, the paper, entitled “Mapping the landscape of Internet studies: Text mining of social science journal articles 2000-2009” and coauthored by Winson Peng, Lun Zhang, Zhijin Zhong, and Jonathan Zhu, has been accepted by New Media & Society.

The paper will be published as the leading article in the special issue on Internet studies as a field of social science, edited by Charles Ess and William Dutton. The paper describes the major themes, theoretical concepts, research methodologies, and their evolutionary trends based a quantitative review of 16,000+ studies published in all SSCI journals from 2000 to 2009.

Lab in Collaboration with Sina Media Strategy Center

April 11, 2012 by · 1 Comment
Filed under: News, Research 

The results of the first stage of a project collaborated between Web Mining Lab and Sina was officially released on April 10th, 2012 (http://e.weibo.com/sinaemarketing), highlighting salient characteristics and effects of microbolgging advertisement.

The study categorized online advertisements on Sina Weibo as a) promotion, b) product introducing, c) online campaigns, and d) brand/company images building, each with different communication effects on users measured in clicks, re-tweets, and comments. The study also provides a keyword cloud used by online advertisers in Sina Weibo.

Web Mining Lab currently collaborates with Sina Media Strategy Center to investigate the characteristics of online advertising and user’s responses to the advertising.

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