| From the betweenness centrality in street networks to structural invariants in random planar graphs A Kirkley, H Barbosa, M Barthelemy, G Ghoshal Nature communications 9 (1), 2501, 2018 | 150 | 2018 |
| Balance in signed networks A Kirkley, GT Cantwell, MEJ Newman Physical Review E 99 (1), 012320, 2019 | 111 | 2019 |
| Mixing patterns in interdisciplinary co-authorship networks at multiple scales S Feng, A Kirkley Scientific Reports 10 (1), 7731, 2020 | 59 | 2020 |
| Impact of urban structure on infectious disease spreading J Aguilar, A Bassolas, G Ghoshal, S Hazarie, A Kirkley, M Mazzoli, ... Scientific reports 12 (1), 3816, 2022 | 52* | 2022 |
| Belief propagation for networks with loops A Kirkley, GT Cantwell, MEJ Newman Science Advances 7 (17), eabf1211, 2021 | 51 | 2021 |
| Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis S Feng, A Kirkley Scientific reports 11 (1), 8514, 2021 | 20 | 2021 |
| Representative community divisions of networks A Kirkley, MEJ Newman Communications Physics 5 (1), 40, 2022 | 19 | 2022 |
| The friendship paradox in real and model networks GT Cantwell, A Kirkley, MEJ Newman Journal of Complex Networks 9 (2), cnab011, 2021 | 17 | 2021 |
| Spatial regionalization based on optimal information compression A Kirkley Communications Physics 5 (1), 249, 2022 | 15 | 2022 |
| Information theoretic network approach to socioeconomic correlations A Kirkley Physical Review Research 2 (4), 043212, 2020 | 13 | 2020 |
| Clustering of heterogeneous populations of networks JG Young, A Kirkley, MEJ Newman Physical Review E 105 (1), 014312, 2022 | 10 | 2022 |
| Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection TP Peixoto, A Kirkley Physical Review E 108 (2), 024309, 2023 | 9 | 2023 |
| Connecting intercity mobility with urban welfare S Mimar, D Soriano-Paños, A Kirkley, H Barbosa, A Sadilek, A Arenas, ... PNAS nexus 1 (4), pgac178, 2022 | 8 | 2022 |
| Normalized mutual information is a biased measure for classification and community detection M Jerdee, A Kirkley, MEJ Newman arXiv preprint arXiv:2307.01282, 2023 | 6 | 2023 |
| Compressing network populations with modal networks reveal structural diversity A Kirkley, A Rojas, M Rosvall, JG Young Communications Physics 6 (1), 148, 2023 | 6 | 2023 |
| Robust design from systems physics AA Klishin, A Kirkley, DJ Singer, G Van Anders Scientific Reports 10 (1), 14334, 2020 | 5 | 2020 |
| Improved estimates for the number of non-negative integer matrices with given row and column sums M Jerdee, A Kirkley, MEJ Newman Proceedings of the Royal Society A 480 (2282), 20230470, 2024 | 4 | 2024 |
| Inference of dynamic hypergraph representations in temporal interaction data A Kirkley Physical Review E 109 (5), 054306, 2024 | 3 | 2024 |
| Heterogeneous message passing for heterogeneous networks GT Cantwell, A Kirkley, F Radicchi Physical Review E 108 (3), 034310, 2023 | 3 | 2023 |
| Mutual information and the encoding of contingency tables M Jerdee, A Kirkley, MEJ Newman arXiv preprint arXiv:2405.05393, 2024 | 1 | 2024 |
Mark NewmanProfessor of Physics, University of Michigan在 umich.edu 的电子邮件经过验证
