Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24291, first published .
Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study

Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study

Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study

Journals

  1. Meyer H, Peach A, Guenther L, Kedar H, Brüggemann M. Between Calls for Action and Narratives of Denial: Climate Change Attention Structures on Twitter. Media and Communication 2023;11(1):278 View
  2. Zhou B, Lv Y, Wang J, Zhang J, Xuan Q. Attacking the Core Structure of Complex Network. IEEE Transactions on Computational Social Systems 2023;10(4):1428 View
  3. Shetty R, Bhattacharjee S, Dutta A, Namtirtha A. GSI: An Influential Node Detection Approach in Heterogeneous Network Using Covid-19 as Use Case. IEEE Transactions on Computational Social Systems 2023;10(5):2489 View
  4. Kroger S, Validi H, Hicks I. Maximizing Engagement in Large-Scale Social Networks. INFORMS Journal on Optimization 2024;6(3-4):196 View
  5. Mundra P, Papamanthou C, Shun J, Liu Q. Practical and Accurate Local Edge Differentially Private Graph Algorithms. Proceedings of the VLDB Endowment 2025;18(11):4199 View
  6. Liu Z, Li R, Cai J, Xia J, Wang J, Zou N. Method for Extracting the Backbone of Urban Population Mobility Networks From an Interday Similarity Perspective. Transactions in GIS 2025;29(7) View

Conference Proceedings

  1. Shetty R, Bhattacharjee S. 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). A Weighted Hybrid Centrality for Identifying Influential Individuals in Contact Networks View