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.

Lab Alumni Won Two Best Paper Awards from CAHJC

April 23, 2018 by · Leave a Comment
Filed under: Conference, News, People, Publications 

At the annual board meeting on April 21, the Chinese Association of History of Journalism and Communication (CAHJC), which is the national society of the field in China, elected the following two papers published by alumni of the Lab as the Best Papers of 2017:

Zhijin Zhong and Shujin Lin (2017, in Chinese). The emotional memories of the return of Hong Kong and Macau among web users in mainland China. Journalism and Communication Research, Issue 1.

Lun Zhang, Lu Zheng, & Tai-Quan Peng (2017). Structurally embedded news consumption on mobile news applications. Information Processing and Management, 53, 1242-1253.

Zhijin is a professor at Sun Yat-sen University and a graduate of the Lab in 2009. Lun is an associate professor at Beijing Normal University and a graduate from the Lab in 2011 and Taiquan Peng an associate professor at Michigan State University and graduate from Lab in 2008.

Paper on mobile sessions goes online

February 4, 2018 by · Leave a Comment
Filed under: Publications 

The article, entitled “How to measure sessions of mobile phone use: Identification, evaluation, and applications”, has been published on Mobile Media & Communication by Jonathan Zhu, Hexin Chen, Taiquan Peng, Haixing Dai, and Xiaofan Liu. They proposed a variable-length measure called “session” to uncover unmeasured temporal characteristics of mobile phone use. An open source dataset was used to demonstrate how to quantify sessions, aggregate the sessions to higher units of analysis within and across users, evaluate the results, and apply the measure for theoretical or practical purposes.

Liang and Zhu’s chapter on social media data collection published

December 11, 2017 by · Leave a Comment
Filed under: Publications 

A chapter “Big Data, Collection of (Social Media, Harvesting)”, coauthored by Hai Liang and Jonathan Zhu of the Lab, has been published in The International Encyclopedia of Communication Research Methods, edited by Jörg Matthes and published by John Wiley & Sons. The chapter summarizes sampling and data collection methods on social media (see Liang_Zhu_2017_Big data).

Zhang Lun and Winson’s Article to appear in IPM

June 13, 2017 by · Leave a Comment
Filed under: Publications 

The article entitled as “Structurally embedded news consumption on mobile news applications” was accepted for publication at Information Processing and Management, an SSCI journal in Information Science and Library Science. This study examines the evolution of diversity of individuals’ news consumption and identifies the factors that underlie such evolution. A decreasing trend in news consumption diversity is observed among users. The news consumption diversity of individuals is positively related to global information diversity. This study complements traditional motivation-driven perspectives of news consumption by mining the structural antecedents of news consumption diversity and further emphasizes the social implications of mobile news technology.

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