Hypernetwork science via high-order hypergraph walks SG Aksoy, C Joslyn, CO Marrero, B Praggastis, E Purvine EPJ Data Science 9 (1), 16, 2020 | 117 | 2020 |
Hypergraph models of biological networks to identify genes critical to pathogenic viral response S Feng, E Heath, B Jefferson, C Joslyn, H Kvinge, HD Mitchell, ... BMC bioinformatics 22 (1), 287, 2021 | 81 | 2021 |
A graph analytic metric for mitigating advanced persistent threat JR Johnson, EA Hogan 2013 IEEE International Conference on Intelligence and Security Informatics …, 2013 | 55 | 2013 |
A complete characterization of the one-dimensional intrinsic Čech persistence diagrams for metric graphs E Gasparovic, M Gommel, E Purvine, R Sazdanovic, B Wang, Y Wang, ... Research in Computational Topology, 33-56, 2018 | 48 | 2018 |
A generative graph model for electrical infrastructure networks SG Aksoy, E Purvine, E Cotilla-Sanchez, M Halappanavar Journal of complex networks 7 (1), 128-162, 2019 | 38 | 2019 |
On homotopy types of Vietoris–Rips complexes of metric gluings M Adamaszek, H Adams, E Gasparovic, M Gommel, E Purvine, ... Journal of Applied and Computational Topology 4 (3), 425-454, 2020 | 34* | 2020 |
Hypernetwork science: from multidimensional networks to computational topology CA Joslyn, SG Aksoy, TJ Callahan, LE Hunter, B Jefferson, B Praggastis, ... International conference on complex systems, 377-392, 2020 | 32 | 2020 |
A graph-based impact metric for mitigating lateral movement cyber attacks E Purvine, JR Johnson, C Lo Proceedings of the 2016 ACM Workshop on Automated Decision Making for Active …, 2016 | 25 | 2016 |
Defending our public biological databases as a global critical infrastructure J Caswell, JD Gans, N Generous, CM Hudson, E Merkley, C Johnson, ... Frontiers in bioengineering and biotechnology 7, 58, 2019 | 24 | 2019 |
Hypergraph analytics of domain name system relationships CA Joslyn, S Aksoy, D Arendt, J Firoz, L Jenkins, B Praggastis, E Purvine, ... Algorithms and Models for the Web Graph: 17th International Workshop, WAW …, 2020 | 19 | 2020 |
Relative Hausdorff distance for network analysis SG Aksoy, KE Nowak, E Purvine, SJ Young Applied Network Science 4, 1-25, 2019 | 19 | 2019 |
A topological approach to representational data models E Purvine, S Aksoy, C Joslyn, K Nowak, B Praggastis, M Robinson Human Interface and the Management of Information. Interaction …, 2018 | 17 | 2018 |
Graph coarsening for path finding in cybersecurity graphs E Hogan, JR Johnson, M Halappanavar Proceedings of the Eighth Annual Cyber Security and Information Intelligence …, 2013 | 17 | 2013 |
Comparative study of clustering techniques for real‐time dynamic model reduction E Purvine, E Cotilla‐Sanchez, M Halappanavar, Z Huang, G Lin, S Lu, ... Statistical Analysis and Data Mining: The ASA Data Science Journal 10 (5 …, 2017 | 14 | 2017 |
Towards A Topological Framework for Integrating Semantic Information Sources. CA Joslyn, E Hogan, M Robinson STIDS, 93-96, 2014 | 14 | 2014 |
Bayesian model aggregation for ensemble‐based estimates of protein pKa values LJ Gosink, EA Hogan, TC Pulsipher, NA Baker Proteins: Structure, Function, and Bioinformatics 82 (3), 354-363, 2014 | 14 | 2014 |
A sheaf theoretical approach to uncertainty quantification of heterogeneous geolocation information CA Joslyn, L Charles, C DePerno, N Gould, K Nowak, B Praggastis, ... Sensors 20 (12), 3418, 2020 | 13 | 2020 |
High performance hypergraph analytics of domain name system relationships C Joslyn, S Aksoy, D Arendt, L Jenkins, B Praggastis, E Purvine, ... HICSS 2019 symposium on cybersecurity big data analytics, 2019 | 13 | 2019 |
Anomaly detection using persistent homology P Bruillard, K Nowak, E Purvine 2016 Cybersecurity Symposium (CYBERSEC), 7-12, 2016 | 13 | 2016 |
Towards effective clustering techniques for the analysis of electric power grids E Hogan, E Cotilla-Sanchez, M Halappanavar, S Wang, P Mackey, ... Proceedings of the 3rd International Workshop on High Performance Computing …, 2013 | 13 | 2013 |