Scientometrics and Network Science in the Chacko-Warnow Collaboration



Professors Warnow and Chacko collaborate on the following problems:
  1. Understanding the organization of scientific communities, and especially emerging trends in biomedical research
  2. Developing novel clustering methods that enable discovery from large citation networks
  3. Developing new methods for understanding community structure in large networks (millions of nodes), including the detection of overlapping communities
We gratefully acknowledge the support of the Insper-Illinois Partnership, Digital Science, Google, and the Grainger Foundation.


Directors Senior Collaborators Students
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CS 598: Computational Scientometrics. This graduate course, taught in Fall 2022, is centered around applying quantitative analytical techniques to problems in scientometrics that concern research metadata, particularly citations. The course consists of presentations, critical discussions, and research projects. Participating students will explore scientific questions, analyze data, develop new methods or apply existing ones (HTML)


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15 V. Ramavarapu, F. J. Ayres, M. Park, V.A.K. Pailodi, J.A. C. Lamy, T. Warnow, and G. Chacko. CM++ - A Meta-method for Well-Connected Community Detection. Journal of Open Source Science. DOI: 10.21105/joss.06073 (PDF)
14 M. Park, Y. Tabatabaee, V. Ramavarapu, B. Liu, V. Kamath Pailodi, R. Ramachandran, D. Korobskiy, F. Ayres, G. Chacko, T. Warnow. Well-Connected Communities in Real-World and Synthetic Networks (note: this is an extensive improvement over paper 13.) This paper has been accepted to COMPLEX NETWORKS and their applications 2023. (PDF)
13 M. Park, Y. Tabatabaee, B. Liu, V. Kamath Pailodi, V. Ramavarapu, R. Ramachandran, D. Korobskiy, F. Ayres, G. Chacko, T. Warnow. Well-Connected Communities in Real-World Networks. Preprint available on arXiv. (HTML)
12 A. Jakatdar, B. Liu, T. Warnow, and G. Chacko (2022). AOC: Assembling Overlapping Communities. Quantitative Science Studies (QSS), published by MIT Press. (HTML)
11 E. Wedell, M. Park, D. Korobskiy, T. Warnow, and G. Chacko (2022) Center-Periphery Structure in Communities: Extracellular Vesicles. Quantitative Science Studies 3(1):289-314. Also appears in arXiv 2111.07418 (HTML)
10 W. Zhao, D. Korobskiy, and G. Chacko (2021). Delayed Recognition: A Co-Citation Perspective. Front. Res. Metr. Anal., 19 February 2021 | (HTML)
9 J. Bradley, S. Devarakonda, A. Davey, D. Korobskiy, S. Liu, D. Lakhdar-Hamina,T. Warnow, and G. Chacko (2020). Co-citations in context: disciplinary heterogeneity is relevant. Quantitative Science Sciences (MIT Press), 1(1), 264--276, (PDF)
8 S. Chandrasekharan, M. Zaka, S. Gallo, W. Zhao, D. Korobskiy, T. Warnow, & G. Chacko (2020). Finding Scientific Communities in Citation Graphs. Quantitative Science Studies (MIT Press), 2(1), Dec 3, 2020. (HTML)
7 S. Devarakonda, D. Korobskiy, T. Warnow, and G. Chacko (2020). Viewing computer science through citation analysis: Salton and Bergmark Redux. Scientometrics (2020). (HTML)
6 S. Devarakonda, J. Bradley, D. Korobskiy, T. Warnow, and G. Chacko (2020). Frequently Co-cited Publications: Features and Kinetics, Quantitative Science Studies (MIT Press), 1(1), 264-276, doi:10.1162/qss_a_00075 (HTML)
5 W Zhao, D Korobskiy, S Chandrasekharan, KM Merz Jr, G Chacko (2020). Converging Interests: Chemoinformatics, History, and Bibliometrics Journal of Chemical Information and Modeling 60 (12), 5870-5872 (HTML)
4 L Bornmann, S Devarakonda, A Tekles, G Chacko (2020). Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers. Quantitative Science Studies 1 (3), 1242-1259 (HTML)
3 L Bornmann, S Devarakonda, A Tekles, G Chacko (2020). Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019) Scientometrics, 1-7 (HTML)
2 S Keserci, E Livingston, L Wan, AR Pico, G Chacko (2017). Research synergy and drug development: Bright stars in neighboring constellations. Heliyon 3 (11), e00442 (HTML)
1 KW Boyack, MC Chen, G Chacko (2014). Characterization of the Peer Review Network at the Center for Scientific Review, National Institutes of Health. PLOS One 9(8): e104244. (HTML)

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All software produced in this collaboration is available in open-source form.