{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:09:12Z","timestamp":1742976552263,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031263026"},{"type":"electronic","value":"9783031263033"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-26303-3_19","type":"book-chapter","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T16:08:38Z","timestamp":1676045318000},"page":"215-226","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Structure, Stability, Persistence and\u00a0Entropy of\u00a0Stock Networks During Financial Crises"],"prefix":"10.1007","author":[{"given":"Nawee","family":"Jaroonchokanan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teerasit","family":"Termsaithong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujin","family":"Suwanna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,11]]},"reference":[{"key":"19_CR1","unstructured":"List of economic crises. https:\/\/en.wikipedia.org\/wiki\/List_of_economic_crises"},{"key":"19_CR2","unstructured":"Wavelet leader multifractal analysis with Matlab. https:\/\/www.mathworks.com\/help\/wavelet\/ug\/multifractal-analysis.html"},{"key":"19_CR3","unstructured":"Yahoo Finance. https:\/\/finance.yahoo.com\/. Accessed 15 Oct 2021"},{"issue":"4","key":"19_CR4","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.physrep.2005.10.009","volume":"424","author":"S Boccaletti","year":"2006","unstructured":"Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.U.: Complex networks: structure and dynamics. Phys. Rep. 424(4), 175\u2013308 (2006)","journal-title":"Phys. Rep."},{"issue":"8","key":"19_CR5","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.3390\/sym12081287","volume":"12","author":"I Freitas Cruz","year":"2020","unstructured":"Freitas Cruz, I., Sampaio, J.: Multifractal analysis of movement behavior in association football. Symmetry 12(8), 1287 (2020)","journal-title":"Symmetry"},{"issue":"1","key":"19_CR6","doi-asserted-by":"publisher","first-page":"160757","DOI":"10.1098\/rsos.160757","volume":"4","author":"R Jacob","year":"2017","unstructured":"Jacob, R., Harikrishnan, K.P., Misra, R., Ambika, G.: Measure for degree heterogeneity in complex networks and its application to recurrence network analysis. Roy. Soc. Open Sci. 4(1), 160757 (2017)","journal-title":"Roy. Soc. Open Sci."},{"key":"19_CR7","series-title":"Applied and Numerical Harmonic Analysis","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/978-3-7643-7778-6_17","volume-title":"Wavelet Analysis and Applications","author":"S Jaffard","year":"2007","unstructured":"Jaffard, S., Lashermes, B., Abry, P.: Wavelet leaders in multifractal analysis. In: Qian, T., Vai, M.I., Xu, Y. (eds.) Wavelet Analysis and Applications. Applied and Numerical Harmonic Analysis, pp. 201\u2013246. Birkh\u00e4user, Basel (2007)"},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"128183","DOI":"10.1016\/j.physa.2022.128183","volume":"607","author":"N Jaroonchokanan","year":"2022","unstructured":"Jaroonchokanan, N., Termsaithong, T., Suwanna, S.: Dynamics of hierarchical clustering in stocks market during financial crises. Phys. A 607, 128183 (2022)","journal-title":"Phys. A"},{"issue":"7","key":"19_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0200600","volume":"13","author":"B Li","year":"2018","unstructured":"Li, B., Pi, D.: Analysis of global stock index data during crisis period via complex network approach. PLOS One 13(7), 1\u201316 (2018)","journal-title":"PLOS One"},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.physa.2017.12.037","volume":"495","author":"CX Nie","year":"2018","unstructured":"Nie, C.X., Song, F.T.: Constructing financial network based on PMFG and threshold method. Phys. A 495, 104\u2013113 (2018)","journal-title":"Phys. A"},{"issue":"34","key":"19_CR11","doi-asserted-by":"publisher","first-page":"2482","DOI":"10.1016\/j.physleta.2014.07.009","volume":"378","author":"A Nobi","year":"2014","unstructured":"Nobi, A., Lee, S., Kim, D.H., Lee, J.W.: Correlation and network topologies in global and local stock indices. Phys. Lett. A 378(34), 2482\u20132489 (2014)","journal-title":"Phys. Lett. A"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Saichaemchan, S., Bhadola, P.: Evolution, structure and dynamics of the Thai stock market: a network perspective. J. Phys. Conf. Ser. 1719(1), 012105 (2021)","DOI":"10.1088\/1742-6596\/1719\/1\/012105"},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/6105872","volume":"2020","author":"A Siegenfeld","year":"2020","unstructured":"Siegenfeld, A., Bar-Yam, Y.: An introduction to complex systems science and its applications. Complexity 2020, 1\u201316 (2020)","journal-title":"Complexity"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Thitaweera, N., Sinthupinyo, S.: Correlation network analysis in the stock exchange of Thailand (SET). In: 6th International Conference on Machine Learning Technologies, p. 170\u2013176. Association for Computing Machinery (2021)","DOI":"10.1145\/3468891.3468917"},{"issue":"2","key":"19_CR15","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.physa.2005.08.025","volume":"363","author":"B Wang","year":"2006","unstructured":"Wang, B., Tang, H., Guo, C., Xiu, Z.: Entropy optimization of scale-free networks\u2019 robustness to random failures. Phys. A 363(2), 591\u2013596 (2006)","journal-title":"Phys. A"},{"issue":"4","key":"19_CR16","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MSP.2007.4286563","volume":"24","author":"H Wendt","year":"2007","unstructured":"Wendt, H., Abry, P., Jaffard, S.: Bootstrap for empirical multifractal analysis. IEEE Signal Process. Mag. 24(4), 38\u201348 (2007)","journal-title":"IEEE Signal Process. Mag."},{"key":"19_CR17","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3389\/fphy.2020.00163","volume":"8","author":"MY Yang","year":"2020","unstructured":"Yang, M.Y., Ren, F., Li, S.P.: Stock network stability after crashes based on entropy method. Front. Phys. 8, 163 (2020)","journal-title":"Front. Phys."}],"container-title":["Lecture Notes in Computer Science","Computational Data and Social Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-26303-3_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T13:04:44Z","timestamp":1690981484000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-26303-3_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031263026","9783031263033"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-26303-3_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"11 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSoNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Data and Social Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csonet2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/csonet-conf.github.io\/csonet22\/index.html","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":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47","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":"17","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":"7","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":"36% - 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":"2","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":"5","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)"}}]}}