{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T14:46:49Z","timestamp":1725806809228},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","funder":[{"name":"Facebook Research","award":["Content Policy Research Initiative grants"]},{"name":"Defence Science and Technology Group of the Australian Department of Defence","award":["Modelling in the Gray Zone program"]},{"name":"National Security College at the Australian National University","award":["Greenhouse Policy grant"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,8]]},"DOI":"10.1145\/3437963.3441708","type":"proceedings-article","created":{"date-parts":[[2021,3,6]],"date-time":"2021-03-06T04:34:28Z","timestamp":1615005268000},"page":"1097-1100","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Evently"],"prefix":"10.1145","volume":"201","author":[{"given":"Quyu","family":"Kong","sequence":"first","affiliation":[{"name":"Australian National University, University of Technology Sydney, & Data61, CSIRO, Canberra, ACT, Australia"}]},{"given":"Rohit","family":"Ram","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}]},{"given":"Marian-Andrei","family":"Rizoiu","sequence":"additional","affiliation":[{"name":"University of Technology Sydney & Data61, CSIRO, Sydney, NSW, Australia"}]}],"member":"320","published-online":{"date-parts":[[2021,3,8]]},"reference":[{"volume-title":"Tick: a Python library for statistical learning, with an emphasis on hawkes processes and time-dependent models. JMLR","year":"2017","author":"Bacry Emmanuel","key":"e_1_3_2_1_1_1","unstructured":"Emmanuel Bacry , Martin Bompaire , Philip Deegan , St\u00e9phane Ga\"iffas, and S\u00f8ren V Poulsen . 2017. Tick: a Python library for statistical learning, with an emphasis on hawkes processes and time-dependent models. JMLR ( 2017 ). Emmanuel Bacry, Martin Bompaire, Philip Deegan, St\u00e9phane Ga\"iffas, and S\u00f8ren V Poulsen. 2017. Tick: a Python library for statistical learning, with an emphasis on hawkes processes and time-dependent models. JMLR (2017)."},{"volume-title":"Beyond viral . Commun. ACM","year":"2016","author":"Cebrian Manuel","key":"e_1_3_2_1_2_1","unstructured":"Manuel Cebrian , Iyad Rahwan , and Alex \"Sandy\" Pentland . 2016. Beyond viral . Commun. ACM ( 2016 ). Manuel Cebrian, Iyad Rahwan, and Alex \"Sandy\" Pentland. 2016. Beyond viral . Commun. ACM (2016)."},{"volume-title":"Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance","year":"2020","author":"Chen Emily","key":"e_1_3_2_1_3_1","unstructured":"Emily Chen , Kristina Lerman , and Emilio Ferrara . 2020. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance ( 2020 ). Emily Chen, Kristina Lerman, and Emilio Ferrara. 2020. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance (2020)."},{"volume-title":"An introduction to the theory of point processes.","author":"Daley Daryl J","key":"e_1_3_2_1_4_1","unstructured":"Daryl J Daley and David Vere-Jones . 2008. Conditional Intensities and Likelihoods . In An introduction to the theory of point processes. Vol. I . Springer , Chapter 7.2. Daryl J Daley and David Vere-Jones. 2008. Conditional Intensities and Likelihoods. In An introduction to the theory of point processes. Vol. I. Springer, Chapter 7.2."},{"volume-title":"Spectra of some self-exciting and mutually exciting point processes. Biometrika","year":"1971","author":"Hawkes Alan G","key":"e_1_3_2_1_5_1","unstructured":"Alan G Hawkes . 1971. Spectra of some self-exciting and mutually exciting point processes. Biometrika ( 1971 ). Alan G Hawkes. 1971. Spectra of some self-exciting and mutually exciting point processes. Biometrika (1971)."},{"volume-title":"Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter . Journal of Computational Social Science","year":"2019","author":"Kim Dongwoo","key":"e_1_3_2_1_6_1","unstructured":"Dongwoo Kim , Timothy Graham , Zimin Wan , and Marian-Andrei Rizoiu . 2019. Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter . Journal of Computational Social Science ( 2019 ). Dongwoo Kim, Timothy Graham, Zimin Wan, and Marian-Andrei Rizoiu. 2019. Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter . Journal of Computational Social Science (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Quyu Kong Marian-Andrei Rizoiu and Lexing Xie. 2020 a. Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. In CIKM . Quyu Kong Marian-Andrei Rizoiu and Lexing Xie. 2020 a. Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. In CIKM .","DOI":"10.1145\/3340531.3411861"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371821"},{"key":"e_1_3_2_1_9_1","unstructured":"Scott Linderman and Ryan Adams. 2014. Discovering latent network structure in point process data. In ICML . Scott Linderman and Ryan Adams. 2014. Discovering latent network structure in point process data. In ICML ."},{"volume-title":"Visualizing data using t-SNE. JMLR","year":"2008","author":"van der Maaten Laurens","key":"e_1_3_2_1_10_1","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008. Visualizing data using t-SNE. JMLR ( 2008 ). Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. JMLR (2008)."},{"volume":"201","journal-title":"Duncan J Watts.","author":"Martin Travis","key":"e_1_3_2_1_11_1","unstructured":"Travis Martin , Jake M Hofman , Amit Sharma , Ashton Anderson , and Duncan J Watts. 201 6. Exploring limits to prediction in complex social systems. In WWW . Travis Martin, Jake M Hofman, Amit Sharma, Ashton Anderson, and Duncan J Watts. 2016. Exploring limits to prediction in complex social systems. In WWW ."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Swapnil Mishra Marian-Andrei Rizoiu and Lexing Xie. 2016. Feature Driven and Point Process Approaches for Popularity Prediction. In CIKM . Swapnil Mishra Marian-Andrei Rizoiu and Lexing Xie. 2016. Feature Driven and Point Process Approaches for Popularity Prediction. In CIKM .","DOI":"10.1145\/2983323.2983812"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1981.1056305"},{"volume-title":"Nonlinear optimization with GAMS\/LGO. Journal of Global Optimization","year":"2007","author":"Pint\u00e9r J\u00e1nos D","key":"e_1_3_2_1_14_1","unstructured":"J\u00e1nos D Pint\u00e9r . 2007. Nonlinear optimization with GAMS\/LGO. Journal of Global Optimization ( 2007 ). J\u00e1nos D Pint\u00e9r. 2007. Nonlinear optimization with GAMS\/LGO. Journal of Global Optimization (2007)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441695"},{"key":"e_1_3_2_1_16_1","unstructured":"Marian-Andrei Rizoiu Timothy Graham Rui Zhang Yifei Zhang Robert Ackland and Lexing Xie. 2018a. # DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 US Presidential Debate. In ICWSM . Marian-Andrei Rizoiu Timothy Graham Rui Zhang Yifei Zhang Robert Ackland and Lexing Xie. 2018a. # DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 US Presidential Debate. In ICWSM ."},{"key":"e_1_3_2_1_17_1","unstructured":"Marian-Andrei Rizoiu Swapnil Mishra Quyu Kong Mark Carman and Lexing Xie. 2018b. SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. In WWW . Marian-Andrei Rizoiu Swapnil Mishra Quyu Kong Mark Carman and Lexing Xie. 2018b. SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. In WWW ."},{"key":"e_1_3_2_1_18_1","unstructured":"Marian-Andrei Rizoiu and Lexing Xie. 2017. Online Popularity Under Promotion: Viral Potential Forecasting and the Economics of Time. In ICWSM . Marian-Andrei Rizoiu and Lexing Xie. 2017. Online Popularity Under Promotion: Viral Potential Forecasting and the Economics of Time. In ICWSM ."},{"volume-title":"On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming . Mathematical Programming","year":"2006","author":"Biegler A","key":"e_1_3_2_1_19_1","unstructured":"A W\"a chter and L T Biegler . 2006. On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming . Mathematical Programming ( 2006 ). A W\"a chter and L T Biegler. 2006. On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming . Mathematical Programming (2006)."},{"volume-title":"PoPPy: A Point Process Toolbox Based on PyTorch. arXiv","year":"2018","author":"Hongteng Xu.","key":"e_1_3_2_1_20_1","unstructured":"Hongteng Xu. 2018. PoPPy: A Point Process Toolbox Based on PyTorch. arXiv ( 2018 ). Hongteng Xu. 2018. PoPPy: A Point Process Toolbox Based on PyTorch. arXiv (2018)."},{"volume-title":"THAP: A matlab toolkit for learning with Hawkes processes. arXiv","year":"2017","author":"Xu Hongteng","key":"e_1_3_2_1_21_1","unstructured":"Hongteng Xu and Hongyuan Zha . 2017 . THAP: A matlab toolkit for learning with Hawkes processes. arXiv (2017). Hongteng Xu and Hongyuan Zha. 2017. THAP: A matlab toolkit for learning with Hawkes processes. arXiv (2017)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783401"}],"event":{"name":"WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Israel","acronym":"WSDM '21"},"container-title":["Proceedings of the 14th ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3437963.3441708","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T19:54:58Z","timestamp":1673294098000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437963.3441708"}},"subtitle":["Modeling and Analyzing Reshare Cascades with Hawkes Processes"],"short-title":[],"issued":{"date-parts":[[2021,3,8]]},"references-count":22,"alternative-id":["10.1145\/3437963.3441708","10.1145\/3437963"],"URL":"http:\/\/dx.doi.org\/10.1145\/3437963.3441708","relation":{},"subject":[],"published":{"date-parts":[[2021,3,8]]},"assertion":[{"value":"2021-03-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}