{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:20:18Z","timestamp":1742952018626,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030757618"},{"type":"electronic","value":"9783030757625"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-75762-5_25","type":"book-chapter","created":{"date-parts":[[2021,5,8]],"date-time":"2021-05-08T09:07:43Z","timestamp":1620464863000},"page":"305-319","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analyzing Topic Transitions in\u00a0Text-Based Social Cascades Using Dual-Network Hawkes Process"],"prefix":"10.1007","author":[{"given":"Jayesh","family":"Choudhari","sequence":"first","affiliation":[]},{"given":"Srikanta","family":"Bedathur","sequence":"additional","affiliation":[]},{"given":"Indrajit","family":"Bhattacharya","sequence":"additional","affiliation":[]},{"given":"Anirban","family":"Dasgupta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,9]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Choudhari, J., Dasgupta, A., Bhattacharya, I., Bedathur, S.: Discovering topical interactions in text-based cascades using hidden Markov Hawkes processes. In: ICDM (2018)","DOI":"10.1109\/ICDM.2018.00112"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Du, N., Farajtabar, M., Ahmed, A., Smola, A., Song, L.: Dirichlet-Hawkes processes with applications to clustering continuous-time document streams. In: SIGKDD (2015)","DOI":"10.1145\/2783258.2783411"},{"key":"25_CR3","doi-asserted-by":"crossref","unstructured":"Du, N., Dai, H., Trivedi, R., Upadhyay, U., Gomez-Rodriguez, M., Song, L.: Recurrent marked temporal point processes: Embedding event history to vector. In: SIGKDD (2016)","DOI":"10.1145\/2939672.2939875"},{"issue":"1","key":"25_CR4","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1017\/nws.2014.3","volume":"2","author":"M Gomez-Rodriguez","year":"2014","unstructured":"Gomez-Rodriguez, M., Leskovec, J., Balduzzi, D., Sch\u00f6lkopf, B.: Uncovering the structure and temporal dynamics of information propagation. Netw. Sci. 2(1), 26\u201365 (2014)","journal-title":"Netw. Sci."},{"issue":"4","key":"25_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2086737.2086741","volume":"5","author":"M Gomez-Rodriguez","year":"2012","unstructured":"Gomez-Rodriguez, M., Leskovec, J., Krause, A.: Inferring networks of diffusion and influence. ACM Trans. Knowl. Discovery from Data (TKDD) 5(4), 1\u201337 (2012)","journal-title":"ACM Trans. Knowl. Discovery from Data (TKDD)"},{"key":"25_CR6","unstructured":"Gomez-Rodriguez, M., Leskovec, J., Sch\u00f6lkopf, B.: Modeling information propagation with survival theory. In: International Conference on Machine Learning, pp. 666\u2013674 (2013)"},{"issue":"1","key":"25_CR7","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1093\/biomet\/58.1.83","volume":"58","author":"A Hawkes","year":"1971","unstructured":"Hawkes, A.: Spectra of some self-exciting and mutually exciting point processes. Biometrika 58(1), 83\u201390 (1971)","journal-title":"Biometrika"},{"key":"25_CR8","unstructured":"He, X., Rekatsinas, T., Foulds, J., Getoor, L., Liu, Y.: Hawkestopic: a joint model for network inference and topic modeling from text-based cascades. In: ICML (2015)"},{"key":"25_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/978-3-030-47426-3_43","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"H Li","year":"2020","unstructured":"Li, H., Li, H., Bhowmick, S.S.: BRUNCH: branching structure inference of hybrid multivariate hawkes processes with application to social media. In: Lauw, H.W., Wong, R.C.-W., Ntoulas, A., Lim, E.-P., Ng, S.-K., Pan, S.J. (eds.) PAKDD 2020. LNCS (LNAI), vol. 12084, pp. 553\u2013566. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-47426-3_43"},{"key":"25_CR10","unstructured":"Linderman, S., Adams, R.: Discovering latent network structure in point process data. In: ICML (2014)"},{"key":"25_CR11","unstructured":"Mei, H., Eisner, J.M.: The neural Hawkes process: a neurally self-modulating multivariate point process. In: Advances in Neural Information Processing Systems, pp. 6754\u20136764 (2017)"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Rizoiu, M., Lee, Y., Mishra, S., Xie, L.: A tutorial on hawkes processes for events in social media. In: arXiv (2017)","DOI":"10.1145\/3122865.3122874"},{"key":"25_CR13","unstructured":"Simma, A., Jordan, M.I.: Modeling events with cascades of poisson processes. In: Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, pp. 546\u2013555 (2010)"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, X., Yu, P., Li, Z.: Mmrate: Inferring multi-aspect diffusion networks with multi-pattern cascades. In: SIGKDD (2014)","DOI":"10.1145\/2623330.2623728"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Xiao, S., Yan, J., Yang, X., Zha, H., Chu, S.M.: Modeling the intensity function of point process via recurrent neural networks. In: AAAI (2017)","DOI":"10.1609\/aaai.v31i1.10724"},{"key":"25_CR16","unstructured":"Yang, S.H., Zha, H.: Mixture of mutually exciting processes for viral diffusion. In: International Conference on Machine Learning, pp. 1\u20139 (2013)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-75762-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T17:17:30Z","timestamp":1710350250000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-75762-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030757618","9783030757625"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-75762-5_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2021.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"673","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"157","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}