{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:55:24Z","timestamp":1742961324711,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811983498"},{"type":"electronic","value":"9789811983504"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-981-19-8350-4_12","type":"book-chapter","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T20:58:46Z","timestamp":1669323526000},"page":"145-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks"],"prefix":"10.1007","author":[{"given":"Yumeng","family":"Hao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoming","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaguang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Yang, C., Fu, L., Gan, X.: Evolving knowledge graph-based knowledge diffusion model. In: 2021 IEEE Wieless Communications and Networking Conference. IEEE, Nanjing, China (2021)","DOI":"10.1109\/WCNC49053.2021.9417427"},{"issue":"3","key":"12_CR2","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1109\/TCSS.2019.2907059","volume":"6","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Cai, Z., Zhan, Z., et al.: An optimization and auction-based incentive mechanism to maximize social welfare for mobile crowdsourcing. IEEE Trans. Comput. Soc. Syst. 6(3), 414\u2013429 (2019)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"12_CR3","first-page":"301","volume":"8","author":"R Banez","year":"2022","unstructured":"Banez, R., Gao, H., Li, L., et al.: Modeling and Analysis of opinion dynamics in social networks using mutiple-population mean field games. IEEE Trans. Signal Inf. Process. Netw. 8, 301\u2013316 (2022)","journal-title":"IEEE Trans. Signal Inf. Process. Netw."},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Kar, P., et al.: Are fake images bothering you on social network? Let us detect them using recurrent neural network. IEEE Trans. Comput. Soc. Syst. Early access, 1\u201312 (2022)","DOI":"10.1109\/TCSS.2022.3159709"},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/TCYB.2020.2977322","volume":"52","author":"X Wang","year":"2022","unstructured":"Wang, X., Wang, X., Min, G., et al.: An efficient feedback control mechanism for positive\/negative information spread in online social networks. IEEE Trans. Cybern. 52(1), 87\u2013100 (2022)","journal-title":"IEEE Trans. Cybern."},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Jagadishwari, V.: Talkative Friend algorithm for inferring ties in social networks. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, pp. 181\u2013184 (2021)","DOI":"10.1109\/ICICV50876.2021.9388490"},{"issue":"4","key":"12_CR7","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1109\/JSYST.2017.2764479","volume":"12","author":"T Qiu","year":"2018","unstructured":"Qiu, T., Chen, B., Arun, K., et al.: A survey of mobile social networks: applications, social characteristics, and challenges. IEEE Syst. J. 12(4), 414\u2013429 (2018)","journal-title":"IEEE Syst. J."},{"issue":"4","key":"12_CR8","first-page":"577","volume":"15","author":"Z Cai","year":"2018","unstructured":"Cai, Z., He, Z., Guan, X., et al.: collective data-sanitization for preventing sensitive information inference attacks in social networks. IEEE Trans. Depend. Sec. Comput. 15(4), 577\u2013590 (2018)","journal-title":"IEEE Trans. Depend. Sec. Comput."},{"key":"12_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3170470","author":"Y Lin","year":"2022","unstructured":"Lin, Y., Wang, X., Ma, H., et al.: An efficient approach to sharing edge knowledge in 5G-enabled industrial Internet of Things. IEEE Trans. Industr. Inf. (2022). https:\/\/doi.org\/10.1109\/TII.2022.3170470","journal-title":"IEEE Trans. Industr. Inf."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Liu, W., et al.: Global dynamics of knowledge global dynamics of knowledge transmission model on scale-free networks. In: 2019 Chinese Control Conference. IEEE, Guangzhou, China (2019)","DOI":"10.23919\/ChiCC.2019.8866142"},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.physa.2018.05.041","volume":"507","author":"H Wang","year":"2018","unstructured":"Wang, H., Wang, J., Small, M.: Knowledge transmission model with differing initial transmission and retransmission process. Phys. A 507, 478\u2013488 (2018)","journal-title":"Phys. A"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"110593","DOI":"10.1016\/j.chaos.2020.110593","volume":"143","author":"S Liao","year":"2021","unstructured":"Liao, S., Yi, S.: Modeling and analysis knowledge transmission process in complex networks by considering internalization mechanism. Chaos Soliton Fract. 143, 110593 (2021)","journal-title":"Chaos Soliton Fract."},{"key":"12_CR13","first-page":"474","volume":"237","author":"Y Wang","year":"2014","unstructured":"Wang, Y., Cao, J.: Global dynamics of a network epidemic model for waterborne diseases spread. Appl. Math. Comput. 237, 474\u2013488 (2014)","journal-title":"Appl. Math. Comput."},{"issue":"1","key":"12_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jde.2009.09.003","volume":"248","author":"M Li","year":"2010","unstructured":"Li, M., Shuai, Z.: Global-stability problem for coupled systems of differential equations on networks. J. Diff. Equ. 248(1), 1\u201320 (2010)","journal-title":"J. Diff. Equ."},{"key":"12_CR15","first-page":"83","volume":"304","author":"H Wang","year":"2017","unstructured":"Wang, H., Wang, J., Ding, L., et al.: Knowledge transmission model with consideration of self-learning mechanism in complex networks. Appl. Math. Comput. 304, 83\u201392 (2017)","journal-title":"Appl. Math. Comput."}],"container-title":["Communications in Computer and Information Science","Wireless Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-8350-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T21:01:05Z","timestamp":1669323665000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-8350-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811983498","9789811983504"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-8350-4_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"25 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CWSN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Wireless Sensor Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"10 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cwsn2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/web\/html5\/index.html?globalId=m8310963194006118401618190403568&type=1","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":"Chinese Computer Society","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"194","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":"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":"9% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CWSN received 194 submissions, including 82 English papers and 112 Chinese papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}