BDSC2017 Concluded in Lanzhou

August 13, 2017 by · Leave a Comment
Filed under: Uncategorized 

The 2017 China National Conference on Big Data and Social Computing (BDSC2017) concluded on Aug 13 in Lanzhou.  The 2-day conference was co-organized by School of Computer Science at Northwestern Normal University, School of Information Science at Renmin University of China, and Web Mining lab/Centre for Communication Research at City University of Hong Kong.  Over 100 scholars and students from mainland China, Hong Kong, Taiwan, the U. S., and elsewhere attended.  A wider range of invited speeches and papers were presented, involving not only computer science but also various disciplines of social sciences and humanities.

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Jonathan Zhu of Web Mining Lab and Centre of Communication Research of CityU served a co-chair of the conference.  In the opening session, he gave a keynote speech on the origin, evolution and future directions of computational social science.

Given the popularity of the conference series, the newly formed Steering Committee, of which Jonathan Zhu is a vice chair, has decided to hold the conference once every year from now on.  BDSC2018 will be hosted by Tianjin University in Tianjin around late June 2018.  Call for papers will be issued in due time.

Web Mining Lab Coorganizes BDSC2017 in Lanzhou

July 19, 2017 by · Leave a Comment
Filed under: Conference, Events 

The 2017 China National Conference on Big Data and Social Computing will be held at Southwest Normal University (SWNU) in Lanzhou on August 12 and 13, 2017, jointly coorganized by College of Computer Science and Engineering at SWNU, School of Information at Renmin University of China (RUC), and Web Mining Lab (WML) and Centre for Communication Research (CCR) of City University of Hong Kong (CityU).  Over a hundred scholars from a variety of disciplines including computer science, communication, complex science, management, economics, psychology, and digital humanities will present their latest works on social computing at the interdisciplinary conference.

Jonathan Zhu of WML serves a co-chair of the conference.  He played a similar role at the 2012 CCF China National Conference on Social Computing, which was held in November 2012 and coorganized by RUC and CityU.

Jonathan Talked about Time Mining at CityU DSAIG Seminar

July 18, 2017 by · Leave a Comment
Filed under: Talk 

The seminar is a monthly event organized by the newly formed Data Science Applications Interest Group (DSAIG) at City University of Hong Kong, of which Jonathan Zhu and Zhenzhen Wang of Web Mining Lab are members.  Jonathan gave a talk on “mining time information from digital data” on July 18, which attracted faculty members, research staff, and doctoral students from several colleges within CityU.


In the talk, he began with an observation that, while time is arguably the only common denominator of all online, digital, and mobile data, there is little serious deliberation on the properties, problems, and opportunities in time mining.  He then discussed application issues of data, metrics, models, and theories of time, with illustrations from both benchmark studies and the ongoing projects at Web Mining Lab.  [Click here for presentation slides.]

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.

The Lab has cohosted the 3rd Data Journalism Competition in China

May 14, 2017 by · Leave a Comment
Filed under: News 

data journalismCo-hosted by a dozen online media and universities including Web Mining Lab at City University of Hong Kong, the 2017 Data Journalism Competition is open for public entries from May 1 to Aug 15, 2017. Students of undergraduate and post-graduate programs around the world can form teams to participate (registered here). There are two categories of competition, including Data News Reports or Data Research Report.

The organizers of the Competition provide all teams a series of real world data on geolocation, weather, housing price, healthcare cost, and movie box office records, to facilitate the design and production of news/research reports.

The top 10 entries will be awarded as follows:


N of Awards

Cash per Award (RMB)

Grand Award



Data News Award 1st Class



Data News Award 2nd Class



Data News Award 3rd Class



Data Research Award



The results of the Competition will be announced at the Conclusion Ceremony at Wuhan University in Nov 2017.

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