{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:35:14Z","timestamp":1743075314235,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":27,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819959709"},{"type":"electronic","value":"9789819959716"}],"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\/978-981-99-5971-6_20","type":"book-chapter","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T23:04:42Z","timestamp":1694732682000},"page":"269-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Link Prediction Algorithms Based on Multichannel Structure Modelling"],"prefix":"10.1007","author":[{"given":"Gege","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonglin","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haixing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"key":"20_CR1","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-662-46248-5_8","volume-title":"Intelligent Computation in Big Data Era","author":"X Xie","year":"2015","unstructured":"Xie, X., Li, Y., Zhang, Z., Han, S., Pan, H.: A joint link prediction method for social network. In: Wang, H., et al. (eds.) ICYCSEE 2015. CCIS, vol. 503, pp. 56\u201364. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-46248-5_8"},{"issue":"2","key":"20_CR2","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1037\/1082-989X.7.2.147","volume":"7","author":"L Schafer","year":"2016","unstructured":"Schafer, L., Graham, J.W.: Missing data: our view of the state of the art. Psychol Methods 7(2), 147\u2013152 (2016)","journal-title":"Psychol Methods"},{"issue":"3","key":"20_CR3","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.socnet.2005.07.002","volume":"28","author":"G Kossinets","year":"2003","unstructured":"Kossinets, G.: Effects of missing data in social networks. Social Netw. 28(3), 247\u2013268 (2003)","journal-title":"Social Netw."},{"issue":"51","key":"20_CR4","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1103\/RevModPhys.74.47","volume":"74","author":"R Albert","year":"2002","unstructured":"Albert, R., Barabasi, A.L.: Statisrical mechanics of complex networks. Rev. Mod. Phys. 74(51), 47\u201397 (2002)","journal-title":"Rev. Mod. Phys."},{"issue":"7","key":"20_CR5","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1002\/asi.20591","volume":"58","author":"D Liben-nowell","year":"2007","unstructured":"Liben-nowell, D., Kleinberg, J.: The link-prediction problems for social networks. J. Am. Soc. Inform. Sci. Technol. 58(7), 1019\u20131031 (2007)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"issue":"02","key":"20_CR6","first-page":"424","volume":"37","author":"ZL Ye","year":"2020","unstructured":"Ye, Z.L., Cao, R., Zhao, H.X., Zhang, K., Zhu, Y.: Link prediction based on matrix factorization for DeepWalk. Appl. Res. Comput. 37(02), 424\u2013429 (2020)","journal-title":"Appl. Res. Comput."},{"issue":"2","key":"20_CR7","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.79.036114","volume":"79","author":"G Bianconi","year":"2009","unstructured":"Bianconi, G.: Entropy of network ensembles. Phys. Rev. E: Stat., Nonlin, Soft Matter Phys. 79(2), 036114 (2009)","journal-title":"Phys. Rev. E: Stat., Nonlin, Soft Matter Phys."},{"key":"20_CR8","unstructured":"Bu, X.Y., Chen, M.L.: Research on link prediction in social networks. Researches Libr. Sci. (17), 17\u201321 (2016)"},{"issue":"5","key":"20_CR9","doi-asserted-by":"publisher","first-page":"58007","DOI":"10.1209\/0295-5075\/89\/58007","volume":"89","author":"WP Liu","year":"2010","unstructured":"Liu, W.P., Lu, L.Y.: Link prediction based on local random walk. Europhys. Lett. 89(5), 58007\u201358012 (2010)","journal-title":"Europhys. Lett."},{"key":"20_CR10","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks (2016). arXiv: 1609.02907"},{"key":"20_CR11","unstructured":"Zeng, H., Zhou, H., Srivastavs, A, et al.: Graphsaint: graph sampling based inductive learning method (2019). arXi: 1907.04931"},{"key":"20_CR12","unstructured":"Mikolov, T., Chen, K., Corrado, G., et al.: Efficient estimation of word representations in vector space (2013). arXiv: 1301.3781"},{"issue":"14","key":"20_CR13","first-page":"3111","volume":"26","author":"T Mikolov","year":"2013","unstructured":"Mikolov, T., Sutskever, I., Chen, K., et al.: Distributed representations of words and phrases and their compositionality. Adv. Neural. Inf. Process. Syst. 26(14), 3111\u20133119 (2013)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: DeepWalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"20_CR15","unstructured":"Yang, C., Liu, Z.: Comprehend deepwalk as matrix factorization (2015). arXi:1501.00358"},{"issue":"02","key":"20_CR16","first-page":"8","volume":"38","author":"YX Zhang","year":"2019","unstructured":"Zhang, Y.X., Feng, Y.X.: A summary of the methods and development of link prediction. Meas. Control Technol. 38(02), 8\u201312 (2019)","journal-title":"Meas. Control Technol."},{"issue":"4","key":"20_CR17","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1140\/epjb\/e2009-00335-8","volume":"71","author":"T Zhou","year":"2009","unstructured":"Zhou, T., Lu, L., Zhang, Y.C.: Predicting missing links via local information. Eur. Phys. J. B 71(4), 623\u2013630 (2009)","journal-title":"Eur. Phys. J. B"},{"issue":"142","key":"20_CR18","first-page":"547","volume":"37","author":"P Jaccard","year":"1901","unstructured":"Jaccard, P.: Etude de la distribution florale dans une portion des Alpes et du Jura. Bull. Soc. Vaud. Sci. Nat. 37(142), 547\u2013579 (1901)","journal-title":"Bull. Soc. Vaud. Sci. Nat."},{"issue":"4","key":"20_CR19","first-page":"1","volume":"5","author":"T Sorenson","year":"1957","unstructured":"Sorenson, T.: A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons. Biologiske Skrifter 5(4), 1\u201334 (1957)","journal-title":"Biologiske Skrifter"},{"issue":"4","key":"20_CR20","doi-asserted-by":"publisher","first-page":"046122","DOI":"10.1103\/PhysRevE.80.046122","volume":"80","author":"L Lu","year":"2009","unstructured":"Lu, L., Jin, C.H., Zhou, T.: Similarity index based on local paths for link prediction of complex networks. Phys. Rev. E 80(4), 046122 (2009)","journal-title":"Phys. Rev. E"},{"issue":"1","key":"20_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/BF02289026","volume":"18","author":"L Katz","year":"1953","unstructured":"Katz, L.: A new status index derived from sociometric analysis. Psychometrika 18(1), 39\u201343 (1953)","journal-title":"Psychometrika"},{"issue":"2","key":"20_CR22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.73.026120","volume":"73","author":"EA Leicht","year":"2006","unstructured":"Leicht, E.A., Holme, P., Newman, M.E.: Vertex similarity in networks. Phys. Rev. E: Stat., Nonlin, Soft Matter Phys. 73(2), 026120 (2006)","journal-title":"Phys. Rev. E: Stat., Nonlin, Soft Matter Phys."},{"issue":"3","key":"20_CR23","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/TKDE.2007.46","volume":"19","author":"F Fouss","year":"2007","unstructured":"Fouss, F., Pirotte, A., Renders, J.M., et al.: Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. Knowl. Data Eng. 19(3), 355\u2013369 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"20_CR24","first-page":"23","volume":"09","author":"L Liao","year":"2018","unstructured":"Liao, L., Zhang, H.F.: Link prediction of opportunistic networks based on support vector machine. Inf. Commun. 09, 23\u201325 (2018)","journal-title":"Inf. Commun."},{"key":"20_CR25","unstructured":"Cao, R., Zhao, H.X., Ye, Z.L.: Link prediction algorithm based on network node text enhancement. Comput. Appl. Softw. 36(3), 227\u2013235+242 (2019)"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Xu, Y., et al.: Graph contrastive learning with adaptive augmentation. In: Proceedings of the Web Conference 2021, pp. 2069\u20132080 (2021)","DOI":"10.1145\/3442381.3449802"},{"issue":"18","key":"20_CR27","first-page":"71","volume":"58","author":"SY Wang","year":"2022","unstructured":"Wang, S.Y., Gong, J.Y.: Link prediction algorithm fusing node label and strength relationship. Comput. Eng. Appl. 58(18), 71\u201377 (2022)","journal-title":"Comput. Eng. Appl."}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-5971-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:35:33Z","timestamp":1710257733000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-5971-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819959709","9789819959716"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-5971-6_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"15 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Harbin","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2023.icpcsee.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"244","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":"52","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":"14","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":"21% - 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":"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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}