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Tglib: an open-source library for temporal graph analysis. arXiv preprint arXiv:2209.12587 (2022)."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512210"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-021-00302-w"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.84.016105"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.5555\/1543767.1543769"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018731"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0126894"},{"key":"e_1_3_2_2_58_1","volume-title":"Mining Stable Communities in Temporal Networks by Density-based Clustering","author":"Qin Hongchao","year":"2020","unstructured":"Hongchao Qin , Rong-Hua Li , Guoren Wang , Xin Huang , Ye Yuan , and Jeffrey Xu Yu. 2020. Mining Stable Communities in Temporal Networks by Density-based Clustering . 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Network centrality: an introduction . In A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems . Springer , 177--196. Francisco Aparecido Rodrigues. 2019. Network centrality: an introduction. In A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems. Springer, 177--196."},{"key":"e_1_3_2_2_61_1","volume-title":"Community discovery in dynamic networks: a survey. ACM computing surveys (CSUR)","author":"Rossetti Giulio","year":"2018","unstructured":"Giulio Rossetti and R\u00e9my Cazabet . 2018. Community discovery in dynamic networks: a survey. ACM computing surveys (CSUR) , Vol. 51 , 2 ( 2018 ), 1--37. Giulio Rossetti and R\u00e9my Cazabet. 2018. Community discovery in dynamic networks: a survey. ACM computing surveys (CSUR), Vol. 51, 2 (2018), 1--37."},{"key":"e_1_3_2_2_62_1","volume-title":"Ahmed","author":"Rossi Ryan A.","year":"2015","unstructured":"Ryan A. Rossi and Nesreen K . Ahmed . 2015 . The Network Data Repository with Interactive Graph Analytics and Visualization. In AAAI. https:\/\/networkrepository.com Ryan A. Rossi and Nesreen K. Ahmed. 2015. The Network Data Repository with Interactive Graph Analytics and Visualization. In AAAI. https:\/\/networkrepository.com"},{"key":"e_1_3_2_2_63_1","volume-title":"Temporal PageRank. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD (Lecture Notes in Computer Science","volume":"689","author":"Rozenshtein Polina","year":"2016","unstructured":"Polina Rozenshtein and Aristides Gionis . 2016 . Temporal PageRank. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD (Lecture Notes in Computer Science , Vol. 9852). Springer, 674-- 689 . Polina Rozenshtein and Aristides Gionis. 2016. Temporal PageRank. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD (Lecture Notes in Computer Science, Vol. 9852). 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Centrality Measures in Complex Networks: A Survey. CoRR , Vol. abs\/ 2011 .07190 ( 2020 ). arxiv: 2011.07190 https:\/\/arxiv.org\/abs\/2011.07190 Akrati Saxena and Sudarshan Iyengar. 2020. Centrality Measures in Complex Networks: A Survey. CoRR, Vol. abs\/2011.07190 (2020). arxiv: 2011.07190 https:\/\/arxiv.org\/abs\/2011.07190"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0058"},{"key":"e_1_3_2_2_68_1","volume-title":"Temporal Networks","author":"Tang John","unstructured":"John Tang , Ilias Leontiadis , Salvatore Scellato , Vincenzo Nicosia , Cecilia Mascolo , Mirco Musolesi , and Vito Latora . 2013. Applications of temporal graph metrics to real-world networks . In Temporal Networks . Springer , 135--159. John Tang, Ilias Leontiadis, Salvatore Scellato, Vincenzo Nicosia, Cecilia Mascolo, Mirco Musolesi, and Vito Latora. 2013. Applications of temporal graph metrics to real-world networks. In Temporal Networks. 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