{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:53:21Z","timestamp":1743116001338,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031287862"},{"type":"electronic","value":"9783031287879"}],"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\/978-3-031-28787-9_16","type":"book-chapter","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T11:03:09Z","timestamp":1679396589000},"page":"205-216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction of Social Network Big Data Storage Model Under Cloud Computing"],"prefix":"10.1007","author":[{"given":"Zihui","family":"Jin","sequence":"first","affiliation":[]},{"given":"Ting","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,22]]},"reference":[{"issue":"9","key":"16_CR1","doi-asserted-by":"crossref","first-page":"4561","DOI":"10.1002\/ett.4561","volume":"33","author":"K Devi","year":"2022","unstructured":"Devi, K., Muthusenthil, B.: Intrusion detection framework for securing privacy attack in cloud computing environment using DCCGAN-RFOA. Trans. Emerging Telecommun. Technol. 33(9), 4561 (2022)","journal-title":"Trans. Emerging Telecommun. Technol."},{"issue":"06","key":"16_CR2","first-page":"1064","volume":"44","author":"Q Meng","year":"2021","unstructured":"Meng, Q., Liu, B., Zhang, H..-Y.., et al.: Multi-relational group influence modeling and analysis in online social networks. Chin. J. Comput. 44(06), 1064\u20131079 (2021)","journal-title":"Chin. J. Comput."},{"issue":"10","key":"16_CR3","first-page":"1842","volume":"43","author":"X Liu","year":"2020","unstructured":"Liu, X., He, D.: Research on of competitive nonlinear dynamic information diffusion modeling in online social network. Chin. J. Comput. 43(10), 1842\u20131861 (2020)","journal-title":"Chin. J. Comput."},{"key":"16_CR4","unstructured":"Lian, J., Fang, S., Zhou, Y.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simul. 37(07), 119\u2013122 (2020)"},{"issue":"4","key":"16_CR5","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1016\/j.dcan.2021.07.005","volume":"8","author":"Z Xu","year":"2022","unstructured":"Xu, Z., Zhu, D., Chen, J., et al.: Splitting and placement of data-intensive applications with machine learning for power system in cloud computing. Digit. Commun. Netw. 8(4), 476\u2013484 (2022)","journal-title":"Digit. Commun. Netw."},{"issue":"2","key":"16_CR6","first-page":"18","volume":"2","author":"F Thabit","year":"2021","unstructured":"Thabit, F., Alhomdy, S., Jagtap, S.: A new data security algorithm for the cloud computing based on genetics techniques and logical-mathematical functions. Int. J. Intell. Netw. 2(2), 18\u201333 (2021)","journal-title":"Int. J. Intell. Netw."},{"key":"16_CR7","unstructured":"Li, Y., Zhou, F., Xu, Z.: Privacy-preserving k-nearest-neighbor search over mobile social network. Chin. J. Comput. 44(07), 1481\u20131500 (2021)"},{"issue":"1","key":"16_CR8","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1088\/1755-1315\/750\/1\/012041","volume":"750","author":"F Ramdani","year":"2021","unstructured":"Ramdani, F., Wirasatriya, A., Jalil, A.R.: Monitoring the sea surface temperature and total suspended matter based on cloud-computing platform of google earth engine and open-source software. IOP Conf. Ser. Earth Environ. Sci. 750(1), 12\u201331 (2021)","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"issue":"05","key":"16_CR9","first-page":"954","volume":"57","author":"H Luo","year":"2020","unstructured":"Luo, H., Yan, G., Zhang, M., et al.: Research on node importance fused multi-information for multi-relational social networks. J. Comput. Res. Dev. 57(05), 954\u2013970 (2020)","journal-title":"J. Comput. Res. Dev."},{"key":"16_CR10","unstructured":"Xu, M., Zhang, Z., Xu, X.: Research on spreading mechanism of false information in social networks by motif degree. J. Comput. Res. Dev. 58(07), 1425\u20131435 (2021)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28787-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T07:58:05Z","timestamp":1702108685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28787-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031287862","9783031287879"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28787-9_16","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2022","order":10,"name":"conference_id","label":"Conference ID","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":"Confyplus.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"276","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":"109","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":"39% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}