{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:48:40Z","timestamp":1757591320028,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030693763"},{"type":"electronic","value":"9783030693770"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-69377-0_7","type":"book-chapter","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T04:59:40Z","timestamp":1612933180000},"page":"74-86","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["ANSWER: Generating Information Dissemination Network on Campus"],"prefix":"10.1007","author":[{"given":"Qing","family":"Qing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,10]]},"reference":[{"issue":"1\u20133","key":"7_CR1","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.schres.2006.03.028","volume":"85","author":"J Addington","year":"2006","unstructured":"Addington, J., Saeedi, H., Addington, D.: Facial affect recognition: a mediator between cognitive and social functioning in psychosis? Schizophr. Res. 85(1\u20133), 142\u2013150 (2006)","journal-title":"Schizophr. Res."},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Campan, A., Cuzzocrea, A., Truta, T.M.: Fighting fake news spread in online social networks: actual trends and future research directions. In: IEEE International Conference on Big Data, pp. 4453\u20134457 (2017)","DOI":"10.1109\/BigData.2017.8258484"},{"issue":"52","key":"7_CR3","doi-asserted-by":"publisher","first-page":"22436","DOI":"10.1073\/pnas.1006155107","volume":"107","author":"DJ Crandall","year":"2010","unstructured":"Crandall, D.J., Backstrom, L., Cosley, D., Suri, S., Huttenlocher, D.P., Kleinberg, J.: Inferring social ties from geographic coincidences. Proc. Nat. Acad. Sci. 107(52), 22436\u201322441 (2010)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"7_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-030-39469-1_8","volume-title":"Databases Theory and Applications","author":"J Duan","year":"2020","unstructured":"Duan, J., Luo, Y., Wang, Z., Huang, Z.: Semi-supervised cross-modal hashing with graph convolutional networks. In: Borovica-Gajic, R., Qi, J., Wang, W. (eds.) ADC 2020. LNCS, vol. 12008, pp. 93\u2013104. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-39469-1_8"},{"issue":"6","key":"7_CR5","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1037\/0022-3514.59.6.1216","volume":"59","author":"LR Goldberg","year":"1990","unstructured":"Goldberg, L.R.: An alternative \u201cdescription of personality\u201d: the big-five factor structure. J. Pers. Soc. Psychol. 59(6), 1216 (1990)","journal-title":"J. Pers. Soc. Psychol."},{"issue":"3","key":"7_CR6","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1891\/0886-6708.11.3.199","volume":"11","author":"S Hamby","year":"1996","unstructured":"Hamby, S.: The dominance scale: preliminary psychometric properties. Violence Vict. 11(3), 199\u2013212 (1996)","journal-title":"Violence Vict."},{"issue":"3","key":"7_CR7","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1080\/00332747.1956.11023049","volume":"19","author":"D Horton","year":"1956","unstructured":"Horton, D., Richard Wohl, R.: Mass communication and para-social interaction: observations on intimacy at a distance. Psychiatry 19(3), 215\u2013229 (1956)","journal-title":"Psychiatry"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Hou, Y., Chen, H., Li, C., Cheng, J., Yang, M.C.: A representation learning framework for property graphs. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 65\u201373 (2019)","DOI":"10.1145\/3292500.3330948"},{"key":"7_CR9","unstructured":"Kaur, R., Sharma, M., Taruna, S.: Privacy preserving data mining model for the social networking. In: 2019 6th International Conference on Computing for Sustainable Global Development, pp. 763\u2013768 (2019)"},{"issue":"6","key":"7_CR10","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.1109\/TCSS.2019.2950445","volume":"6","author":"X Kong","year":"2019","unstructured":"Kong, X., Shi, Y., Wang, W., Ma, K., Wan, L., Xia, F.: The evolution of turing award collaboration network: bibliometric-level and network-level metrics. IEEE Trans. Comput. Soc. Syst. 6(6), 1318\u20131328 (2019)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"7_CR11","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.jnca.2019.01.029","volume":"132","author":"X Kong","year":"2019","unstructured":"Kong, X., Shi, Y., Yu, S., Liu, J., Xia, F.: Academic social networks: modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132, 86\u2013103 (2019)","journal-title":"J. Netw. Comput. Appl."},{"issue":"24","key":"7_CR12","doi-asserted-by":"publisher","first-page":"8788","DOI":"10.1073\/pnas.1320040111","volume":"111","author":"AD Kramer","year":"2014","unstructured":"Kramer, A.D., Guillory, J.E., Hancock, J.T.: Experimental evidence of massive-scale emotional contagion through social networks. Proc. Nat. Acad. Sci. 111(24), 8788\u20138790 (2014)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"1","key":"7_CR13","first-page":"108","volume":"12","author":"PR Kumar","year":"2020","unstructured":"Kumar, P.R., Wan, A.T., Suhaili, W.S.H.: Exploring data security and privacy issues in internet of things based on five-layer architecture. Int. J. Commun. Netw. Inf. Secur. 12(1), 108\u2013121 (2020)","journal-title":"Int. J. Commun. Netw. Inf. Secur."},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Lerman, K., Ghosh, R.: Information contagion: an empirical study of the spread of news on digg and twitter social networks. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 90\u201397 (2010)","DOI":"10.1609\/icwsm.v4i1.14021"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"34403","DOI":"10.1109\/ACCESS.2018.2819688","volume":"6","author":"J Liu","year":"2018","unstructured":"Liu, J., et al.: Artificial intelligence in the 21st century. IEEE Access 6, 34403\u201334421 (2018)","journal-title":"IEEE Access"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Liu, J., et al.: Shifu2: a network representation learning based model for advisor-advisee relationship mining. IEEE Trans. Knowl. Data Eng. 1 (2019)","DOI":"10.1109\/TKDE.2019.2946825"},{"key":"7_CR17","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of Workshop at ICLR (2013)"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Mirjalili, V., Raschka, S., Namboodiri, A., Ross, A.: Semi-adversarial networks: convolutional autoencoders for imparting privacy to face images. In: 2018 International Conference on Biometrics, pp. 82\u201389 (2018)","DOI":"10.1109\/ICB2018.2018.00023"},{"issue":"1","key":"7_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-017-0483-9","volume":"8","author":"E Mussumeci","year":"2018","unstructured":"Mussumeci, E., Coelho, F.C.: Reconstructing news spread networks and studying its dynamics. Social Netw. Anal. Min. 8(1), 1\u20138 (2018). https:\/\/doi.org\/10.1007\/s13278-017-0483-9","journal-title":"Social Netw. Anal. Min."},{"key":"7_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-030-39469-1_7","volume-title":"Databases Theory and Applications","author":"H Pan","year":"2020","unstructured":"Pan, H., Guo, T., Bedru, H.D., Qing, Q., Zhang, D., Xia, F.: DEFINE: friendship detection based on node enhancement. In: Borovica-Gajic, R., Qi, J., Wang, W. (eds.) ADC 2020. LNCS, vol. 12008, pp. 81\u201392. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-39469-1_7"},{"issue":"7693","key":"7_CR21","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1038\/nature25759","volume":"554","author":"GC Patton","year":"2018","unstructured":"Patton, G.C., et al.: Adolescence and the next generation. Nature 554(7693), 458\u2013466 (2018)","journal-title":"Nature"},{"key":"7_CR22","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 International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"7_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-319-92013-9_5","volume-title":"Databases Theory and Applications","author":"A Sohail","year":"2018","unstructured":"Sohail, A., Hidayat, A., Cheema, M.A., Taniar, D.: Location-aware group preference queries in social-networks. In: Wang, J., Cong, G., Chen, J., Qi, J. (eds.) ADC 2018. LNCS, vol. 10837, pp. 53\u201367. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-92013-9_5"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line: large-scale information network embedding. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1067\u20131077 (2015)","DOI":"10.1145\/2736277.2741093"},{"issue":"3","key":"7_CR25","doi-asserted-by":"publisher","first-page":"171","DOI":"10.3961\/jpmph.20.094","volume":"53","author":"S Tasnim","year":"2020","unstructured":"Tasnim, S., Hossain, M.M., Mazumder, H.: Impact of rumors and misinformation on COVID-19 in social media. J. Prev. Med. Public Health 53(3), 171\u2013174 (2020)","journal-title":"J. Prev. Med. Public Health"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Tewari, A., et al.: MoFA: model-based deep convolutional face autoencoder for unsupervised monocular reconstruction. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1274\u20131283 (2017)","DOI":"10.1109\/ICCVW.2017.153"},{"issue":"6380","key":"7_CR27","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1126\/science.aap9559","volume":"359","author":"S Vosoughi","year":"2018","unstructured":"Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146\u20131151 (2018)","journal-title":"Science"},{"key":"7_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-319-55699-4_37","volume-title":"Database Systems for Advanced Applications","author":"H Yao","year":"2017","unstructured":"Yao, H., Nie, M., Su, H., Xia, H., Lian, D.: Predicting academic performance via semi-supervised learning with constructed campus social network. In: Candan, S., Chen, L., Pedersen, T.B., Chang, L., Hua, W. (eds.) DASFAA 2017. LNCS, vol. 10178, pp. 597\u2013609. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-55699-4_37"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, D., et al.: Judging a book by its cover: the effect of facial perception on centrality in social networks. In: The World Wide Web Conference, pp. 2290\u20132300 (2019)","DOI":"10.1145\/3308558.3313527"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, Z., et al.: ANRL: attributed network representation learning via deep neural networks. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pp. 3155\u20133161 (2018)","DOI":"10.24963\/ijcai.2018\/438"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Zhang, S.: Research on influence of weak ties to information spreading in online social networks. In: 2013 13th International Symposium on Communications and Information Technologies, pp. 210\u2013215 (2013)","DOI":"10.1109\/ISCIT.2013.6645851"},{"key":"7_CR32","doi-asserted-by":"crossref","unstructured":"Zhou, C., Liu, Y., Liu, X., Liu, Z., Gao, J.: Scalable graph embedding for asymmetric proximity. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, pp. 2942\u20132948 (2017)","DOI":"10.1609\/aaai.v31i1.10878"}],"container-title":["Lecture Notes in Computer Science","Databases Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-69377-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T06:23:42Z","timestamp":1671171822000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-69377-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030693763","9783030693770"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-69377-0_7","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":"10 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Database Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dunedin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 January 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 February 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adc2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adc2021.github.io\/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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","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":"16","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":"76% - 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":"2","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)"}}]}}