This week’s HCIL Brown Bag Lunch will feature Joseph G. Davis, Professor at The University of Sydney in Australia.  Joseph will talk about: Visualizing and Exploring Cliques and Cartel-Like Patterns in Citation Networks.


Time: 11/2 (Thursday) from 12:30PM – 1:30PM

Place: HCIL, Room 2105, Hornbake Building–South Wing

Lunch: Free pizza!


With the growing emphasis on metrics such as citation count and h-index for research assessment, several reports of gaming and cartel-like formations for boosting citation statistics have emerged. However, such cartels are extremely difficult to detect. This paper presents a systematic approach to visualizing and computing clique and other anomalous patterns through ego-centric citation network analysis by drilling down into the details of individual researcher’s citations. After grouping the citations into three categories, namely, self- citations, co-author citations, and distant citations, we focus our analysis on the outliers with relatively high proportion of self- and co-author citations. By analyzing the complete co-authorship citation networks of these researchers one at a time along with all the co-authors and by merging these networks, we were able to isolate and visualize cliques and anomalous citation patterns that suggest plausible collusion. Our exploratory analysis was carried out using the citation data from Web of Science (now Clarivate Analytics) for all the highly cited researchers in Computer Science and Physics. I will also discuss some of the potential research opportunities in ‘citation analytics’.


Joseph G. Davis is the Professor of Information Systems and Services at the School of Information Technologies, the University of Sydney, Sydney, Australia. He directs the Knowledge Discovery and Management Research Group and is the theme leader for service computing at the Centre for Distributed and High Performance Computing at Sydney. His research covers crowdsourcing, data analytics, ontologies and semantic web, and service computing. He has published over 110 research papers in these and related areas. His research has been funded by the Australian Research Council, Cooperative Centre for Smart Services, Data 61, IBM Research Labs, Carnegie Bosch Institute, among others.

Joseph completed his PhD in Information Systems at the University of Pittsburgh. He has held previous academic positions at Indiana University Bloomington and University of Auckland and Visiting Professorships at Carnegie Mellon University, Syracuse University, University of Pittsburgh, and IBM Research Labs. He is a Senior Member of the ACM and a Charter Member of the Association for Information Systems.