Publications

Computational Methods

• Zhang, Y., Wang, L., Zhu, J. J., & Wang, X. (2020). Viral vs. broadcast: Characterizing the virality and growth of cascades. EPL (Europhysics Letters), 131(2), 28002.
• Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., González-Bailón, S., Lamberson, P. J., Pan, J., Peng, T. Q., Shen, C. C., Smaldino, P. E., van Atteveldt, W., Waldherr, A., Zhang, J. W., & Zhu, J. J. H. (2019). Computational Communication Science| Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline. International Journal of Communication, 13, 23.

• Zhu, J. J. H., Zhou, Y., Guan, L., Hou, L., Shen, A., & Lu, H. (2019). Applying user analytics to uses and effects of social media in China. Asian Journal of Communication, 29(3), 291-306.
• Zhu, J. J. H., Peng, T. Q., & Liang, H. (Eds.) (2019). Special Issue on Introducing Computational Social Science for Asia-Pacific Communication Research. Asian Journal of Communication, 29(3).
• Van Atteveldt, W., & Peng, T. Q. (Eds.) (2018). Special issue on Computational Methods for Communication Science. Communication Methods and Measures, 12(2-3).

Mobile Data Mining

• Zhang, L., Zheng, L., & Peng, T. Q. (2020). Examining familial role in mobile news consumption as a sequential process. Telematics and Informatics. 
• Peng, T. Q., Zhou, Y. X., & Zhu, J. J. H. (2020). From Filled to Empty Time Intervals: Quantifying Online Behaviors with Digital Traces. Communication Methods and Measures.
• Peng, T. Q., & Zhu, J. J. H. (2020). Mobile phone use as sequential processes: From discrete behaviors to sessions of behaviors and trajectories of sessions. Journal of Computer-Mediated Communication, 25(2), 129-146.
• Guan, L., Peng, T. Q., & Zhu, J. J. H. (2019). Who is tracking health on mobile devices: A Behavioral Logfile Analysis in Hong Kong. Journal of Medical Internet Research, 7(5), 313679.
• Zhu, J. J. H., Chen, H., Peng, T. Q., Liu, X. F., & Dai, H. (2018). How to Measure Sessions of Mobile Device Use? Quantification, Evaluation, and Applications. Mobile Media & Communication, 6(2), 215-232.
• Zhang, L., Zheng, L., & Peng, T. Q. (2017). Structurally embedded news consumption on mobile news applications. Information Processing and Management, 53(5), 1242-1253.

Big Data Mining

• Lu, J. H., Xie, X., Lan, J., Peng, T. Q., Chen, W., & Wu, Y. C. (2019). Visual analysis of dynamic interplay between behaviors in MMORPGs. Proceedings of the 12th IEEE Pacific Visualization Symposium (PacificVis 2019), Bangkok, Thailand. Demo Video
• Sun, G. D., Tang, T., Peng, T. Q., Liang, R. H., & Wu, Y. C. (2018). SocialWave: Visual analysis of spatio-temporal diffusion of information on social media. ACM Transactions on Intelligent Systems and Technology, 9(2), Article 15.
• Liang, H. & Zhu, J. J. H. (2017). Big Data, Collection of (Social Media, Harvesting). In Matthes, J (Eds.), The International Encyclopedia of Communication Research Methods. John Wiley & Sons.
• Wang, X. T., Liu, S. X., Chen, Y., Peng, T. Q., Su, J., Yang, J., & Guo, B. N. (2016).  How Ideas Flow across Multiple Social Groups. IEEE VAST 2016, DOI: 10.1109/VAST.2016.7883511.
• Xu, X.-K., & Zhu, J. J. H. (2016). Flexible sampling large-scale social networks by self-adjustable random walk. Physica A, 463, 356-365.
• Liang, H. & Fu, K.W. (2015). Testing propositions derived from Twitter studies: Generalization and replication in computational social science. PLoS ONE, 10(8), e0134270.
• Sun, G. D., Wu, Y. C., Liu, S. X., Peng, T. Q., Zhu, J. J. H., & Liang, R. F. (2014). EvoRiver: Visual Analysis of Topic Coopetition on Social Media. IEEE Transactions on Visualization and Computer Graphics, 20(12), 1753-1762. Demo Video.
• Xu, P. P., Wu, Y. C., Wei, E. X., Peng, T. Q., Liu, S. X., Zhu, J. J. H., & Qu, H. M. (2013). Visual analysis of topic competition on social media. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2012-2021. Demo Video.
• Zhu, J. J. H. Zhu, Peng, T. Q., Liang, H., Wang, C. J., Qin, J., & Chen, H. X. (2014, in Chinese). Computational Social Science in Communication Research. e-Science Technology and Application, 5(2), 3-13.
  祝建华、彭泰权、梁海、王成军、秦洁、陈鹤鑫 (2014). 计算社会科学在新闻传播研究中的应用. 《科研信息化技术与应用》, 5(2), 3-13.

Review of Internet Studies as a Field of Social Sciences

• Peng, T. Q. (2015). Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation network. Journal of Informetrics, 9(2), 250-262.
• Jiang, L. C., Wang, Z. Z., Peng, T. Q., & Zhu, J. J. H. (2015). The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals. International Journal of Medical Informatics, 84(1), 24-35.
• Peng, T. Q., Wang, Z. Z. (2013). Network closure, brokerage, and structural influence of journals: A longitudinal study of journal citation network in Internet research (2000-2010). Scientometrics, 97,675-693. DOI: 10.1007/s11192-013-1012-x.
• Peng, T. Q., Zhang, L., Zhong, Z. J., & Zhu, J. J. H. (2013). Mapping the landscape of Internet studies: Text mining of social science journal articles 2000-2009. New Media & Society, 15(5), 644-664.
• Peng, T. Q., Zhu, J. J. H. (2012). Where you publish matters most: A multi-level analysis of factors affecting citations of Internet studies. Journal of the American Society for Information Science and Technology, 63(9), 1789-1803.

Adoption, Use, and Impact of Web 2.0

• Zheng, H., Aung, H. H., Erdt, M., Peng, T. Q., Sesagiri Raamkumar, A., & Theng, Y. L. (2019). Social media presence of scholarly journals. Journal of the Association of Information Science and Technology.
• Wang, X. H., Chen, L., Shi, J. Y., & Peng, T. Q. (2019). What makes cancer information viral on social media? Computers in Human Behavior, 93, 149-156.
• Xu, X. X., Yang, X. D., Lu, J. H., Lan, J., Peng, T. Q., Wu, Y. C., & Chen, W. (2017). Examining the effects of network externalities, density, and closure on in-game currency price in online games. Internet Research, 27, 924-941.
• Peng, T. Q., Sun, G. D., & Wu, Y. C. (2017). Interplay between public attention and public emotion toward multiple social issues on Twitter. PLoS ONE, 12(1), e0167896.
• Guan, L, Zhang, Y. F., & Zhu, J. J. H. (2016). Segmenting and Characterizing Adopters of E-Books and Paper Books Based on Amazon Book Reviews.  In: Social Media Processing. SMP 2016. Communications in Computer and Information Science, vol 669. Springer, Singapore
• Hu, H. B., & Zhu, J. J. H. (2016). Social media, mass media, and public opinions. Journal of Economic Interaction and Coordination, 11.
• Qin, J., Peng, T. Q. (2016). Googling Environmental Issues: Web Search Queries as a Measurement of Public Attention on Environmental Issues. Internet Research, 26(1), 57-73 .
• Peng, T. Q., Liu, M. C., Wu, Y. C., & Liu, S. X. (2016). Follower-followee network, communication networks and vote agreement of U.S. Members of Congress. Communication Research, 43, 996-1024.
• Zhang, L., & Peng, T. Q. (2015). Breadth, depth and speed: Diffusion of advertising messages on microblogging sites. Internet Research, 25(3), 453-470.
• Liang, H. (2014). The organizational principles of online political discussion: A relational event stream model for analysis of web forum deliberation. Human Communication Research.
• Shen, F., & Liang, H. (2014). Cultural difference, social values, or political systems? Predicting willingness to engage in online political discussion in 75 societies. International Journal of Public Opinion Research.
• Zhang, L, Peng, T. Q., Zhang, Y. P., Wang, X. H., Zhu, J. J. H (2014). Content or context: Which matters more in information processing on microblogging sites? Computers in Human Behavior, 31, 242-249.
• Liang, H. (2014). Coevolution of political discussion and common ground in web discussion forum. Social Science Computer Review.
• Wang, C. J., Wang, P. P., Zhu, J. J. H. (2013). Discussing occupying Wall Street on Twitter: Longitudinal network analysis of equality, emotion, and stability. Cyberpsychology, Behavior, and Social Networking, 16(9), 679-685.
• Liang, H., Shen, F. (2012). Representation of political discussions in web forums: A cross-national assessment. Paper presented at the 65th Annual Conference of World Association for Public Opinion Research (WAPOR), Hong Kong, China.
• Lu, H. (2012). Public opinion between blogsphere and real world. Paper presented at the 65th Annual Conference of World Association for Public Opinion Research (WAPOR), Hong Kong, China.
• Wang, C. J., Peng, T. Q. (2012). Evaluating public discussion of occupying Wall Street on Twitter: Linking Twitter streams with search quires, opinion polls, media coverage, and stock market index. Paper presented at the 65th Annual Conference of World Association for Public Opinion Research (WAPOR), Hong Kong, China.
• Zhang, L., Peng, T. Q., Zhang, Y. P., Wang, X. H. (2012). Content or context: Which carries more weight in predicting popularity of Tweets in China. Paper presented at the 65th Annual Conference of World Association for Public Opinion Research (WAPOR), Hong Kong, China.
• Zhu, J. J. H., Wang, X. H., Qin, J., Wu, L. F. (2012). Assessing public opinion trends based on user search queries: Validity, reliability, and practicality. Paper presented at the 65th Annual Conference of World Association for Public Opinion Research (WAPOR), Hong Kong, China.
• Zhu, J. J. H. (2011, in Chinese). Viability and sustainability of social media. In L. Ma & L. Jiang (Eds.), Mediated society and contemporary China, pp. 54-61. Shanghai: Fudan University Press.
• Zhu, J. J. H., Mo, Q., Wang, F., & Lu, H. (2011). A Random Digit Search (RDS) Method for Sampling of Blogs and Other User-Generated Content. Social Science Computer Review, 29 (3), 327-339.
• Zhu, J. J. H., Lu, H., & Mo, Q. (2010). Sustainability of Blogging Behavior: Survival Rate Analysis. Paper to be presented at the 60th Annual Conference of International Communication Association (ICA), Singapore.
• Peng, T. Q., Zhu, J. J. H. (2007). Adoption and Usage of Web2.0 in Hong Kong. Paper presented at the 4th Annual Conference of Asia-Pacific Internet Research Alliance (APIRA), Kuala Lumpur, Malaysia.

Web Structure

• Wang, Z. Z., & Zhu, J. J. H. (2014). Homophily versus preferential attachment: Evolutionary mechanisms of scientific collaboration networks. International Journal of Modern Physics C, 25 (5), 1440014.
• Xiang, L. Y., Zhu, J. J. H., Chen, F., & Chen, G. R. (2013). Controllability of weighted and directed networks with nonidentical node dynamics. Mathematical Problems in Engineering, 2013, 405034.
• Wu, L. F., & Zhang, J. (2013). The decentralized flow structure of clickstreams on the web. European Physical Journal B, 86, 266.
• Wu, L. F. (2011). The accelerating growth of online tagging systems. The European Physical Journal B, 83 (2), 283-287.
• Zhu, J. J. H., Meng, T., Xie, Z. M., Li, G., Li, X. M. (2008). A Teapot graph and its hierarchical structure of the Chinese Web. WWW’08: Proceedings of the 17th international conference on World Wide Web, pp. 1133-1134.
• Huang, L. E., Zhu, J. J. H., Li, X. M. (2008). HisTrace: Building a search engine of historical events. WWW’08: Proceedings of the 17th international conference on World Wide Web, pp. 1155-1156.
• Di, N. Yao, C. L., Duan, M. C., Zhu, J. J. H., Li, X. M. (2008). Representing a web page as sets of named entities of multiple types – A model and some preliminary applications. WWW’08: Proceedings of the 17th international conference on World Wide Web, 1099-1100.
• Huang, L. E., Zhu, J. J. H., Li, X. M. (2008). Building a story tracer out of a web archive. JCDL’08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries , p. 455.

Adoption, Use, and Impact of Web 1.0

• Peng, T. Q., Zhu, J. J. H., Tong, J. J., Jiang, S. J. (2012). Predicting Internet nonusers’ adoption intention and adoption behavior: A panel study of theory of planned behavior. Information, Communication & Society, 15(8), 1236-1257.
• Zhong, Z. J. (2011). From access to usage: the divide of self-reported digital skills among adolescents. Computers and Education, 56 (3), 736-746.
• Peng, T. Q., Zhu, J. J. H. (2011). A Game of Win-Win or Win-Lose? A Revisit to the Internet’s Influence on Sociability and Use of Traditional Media. New Media & Society, 13 (4), 568-586.
• Peng, T. Q., Zhu, J. J. H. (2011). Sophistication of Internet Usage (SIU) and Its Attitudinal Antecedents: An Empirical Study in Hong Kong. Computers in Human Behavior, 27 (1), 421-431.
• Peng, T. Q., Zhu, J. J. H. (2010). Youth and the Internet in East Asia. Journal of Youth Studies, 13(2), 13-30.
• Zhang, L., Zhu, J. J. H. (2010). Matthew Effect or Ceiling Effect? Evolution of the Digital Divide: A Cross-Society and Within-Society Comparison. Paper to be presented at the 60th Annual Conference of International Communication Association (ICA), Singapore.
• Peng, T. Q., Zhu, J. J. H. (2009). Active Audience and Automatic Usage: A Test of Rival Hypotheses on Automaticity of Internet Use. Paper to be presented at the 59th Annual Conference of International Communication Association (ICA), Chicago, USA.
• Zhong, Z. J. (2009). Third-person perceptions and online games: A comparison of perceived antisocial and prosocial game effects. Journal of Computer-Mediated Communication, 4, 286-306.
• Peng, T. Q., Zhu, J. J. H. (2008). Cohort Trends in Perceived Internet Influence on Political Efficacy in Hong Kong. Cyberpsychology & Behavior, 11(1), 75-79.
• Peng, T. Q., Zhu, J. J. H. (2008). Don’t Blame the Internet Anymore! —- A Revisit to the Influence of the Internet on Use of Traditional Media and Sociability. Paper presented at the 6th Annual Chinese Internet Research Conference, University of Hong Kong, Hong Kong.
• Peng, T. Q., Zhu, J. J. H. (2008). Sophistication of Internet Usage—-Application of Confirmatory Factor Analysis to the Measurement of Internet Usage. Paper presented at the 58th Annual Conference of International Communication Association (ICA), Montreal, Canada.
• Peng, T. Q., Zhu, J. J. H. (2006). Assessing Measurement Equivalence/Invariance in Internet Research. Paper presented at the 3rd Annual Conference of Asia-Pacific Internet Research Alliance (APIRA), Taipei, Taiwan.
• Zhu, J. J. H., Wang, E. H. (2005). Diffusion, use and impact of the Internet in China. Communications of the ACM, 48 (4), 49-53.
• Zhu, J. J. H., He, Z. (2002). Perceived characteristics, perceived needs, and perceived popularity: Diffusion and use of the Internet in China. Communication Research, 29 (4), 466-495.
• Zhu, J. J. H., He, Z. (2002). Information accessibility, user sophistication, and source credibility: The impact of the Internet on value orientations. Journal of Computer-Mediated Communication, 7 (2).
• Zhu, J. J. H., He, Z. (2002). Diffusion, Use and Impact of the Internet in Hong Kong:  A Chain Process Model. Journal of Computer-Mediated Communication, 7 (2).
• Zhu, J. J. H., He, Z. (2002, original in Chinese). Diffusion of the Internet in China: A comparison of Beijing, Guangzhou, and Hong Kong, 2000. Journalism University, 72, 23-31.

Complex Networks and Human Dynamics

• Zhan, X. X., Liu, C., Zhou, G., Zhang, Z. K., Sun, G. Q., Zhu, J. J. H., & Jin, Z. (2018). Coupling dynamics of epidemic spreading and information diffusion on complex networks. Applied Mathematics and Computation, 332, 437-448.
• Wu, L. F. and Zhang, J. (2011) Accelerating growth and size-dependent distribution of human online activities. Physical Review E, 84 (2), 026113, 1-5.
• Xiang, L. Y., Zhu, J. J. H. (2011). On pinning synchronization of general coupled networks. Nonlinear Dynamics, 64 (4), 339-348.
• Zhu, J. J. H., Peng, T. Q. (2009). Global Regularity and Individual Variability in Human Dynamics of Web Browsing. Paper presented at the 5th Chinese Conference of Complex Networks (CCCN’09), Qingdao, China.

Others

• 孟晓峰、李勇、祝建华(2013). 社会计算：大数据时代的机遇与挑战. 《计算机研究与发展》，50(12), 2483-2491. (Meng, X. F., Li, Y. & Zhu, J. J. H. (2013). Social computing in the era of big data: opportunities and challenges. Journal of Computer Research and Development, 50(12), 2483-2491.)
• Qin, J. (2014). Food and Binary Oppositions in the Chinese Meal System. Society. 51(1). doi: 10.1007/s12115-013-9735-0
• 祝建华(2013). 大数据时代的新闻与传播学教育：专业设置、学生技能、师资来源.《新闻大学》，第120卷、第4期，129-132页. (Zhu, J. J. H. (2013). Education for journalism and communication in the age of big data: Curriculum design, student skills, and faculty recruitment. Journalism University, 120(4), 129-132.)
• 祝建华 (2013). 一个文科教授眼中的大数据. 《大数据中国》, 第一期 (三月), 10-12. (Zhu, J. J. H. (2013). Big data from the eyes of a social science professor: abundant, fast, lousy, and costly. Big Data China, Vol. 1 (March), 10-12.)
• 马少平、刘奕群、刘健、张敏、祝建华、茹立云 (2011). 中文搜索引擎用户行为的演化分析. 《中文信息学报》,第25卷第6期, 90-97页. (Ma, S. P., Liu, Y. Q., Liu, J. Zhang, M., Zhu, J. J. H., & Ru, L. Y. (2011). Evolutionary analysis of user behavior of Chinese search engines. Chinese Journal of Informatics. 25(6), 90-97.)
• Zhang, L., Yao, M. Z.(2010). Cognitive Process and Persuasive Effects of Pictorial-Metaphor Advertisings. Paper presented at the 60th Annual Conference of International Communication Association (ICA), Singapore.
• Liang, H., Xue, K.(2010). The Impact of Social Interaction on the Hostile Media Effect. Paper presented at the 60th Annual Conference of International Communication Association (ICA), Singapore.