{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T07:15:37Z","timestamp":1763018137019},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811516986"},{"type":"electronic","value":"9789811516993"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-981-15-1699-3_6","type":"book-chapter","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T06:23:22Z","timestamp":1574403802000},"page":"64-76","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Estimating County Health Indices Using\u00a0Graph Neural Networks"],"prefix":"10.1007","author":[{"given":"Hung","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Duc Thanh","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Thin","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,23]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Andalibi, N., Ozturk, P., Forte, A.: Depression-related imagery on Instagram. In: Proceedings of the ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, pp. 231\u2013234 (2015)","DOI":"10.1145\/2685553.2699014"},{"key":"6_CR2","unstructured":"Atwood, J., Towsley, D.: Diffusion-convolutional neural networks. In: Proceedings of the Advances in Neural Information Processing Systems, pp. 1993\u20132001 (2016)"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bagroy, S., Kumaraguru, P., De Choudhury, M.: A social media based index of mental well-being in college campuses. In: Proceedings of the CHI Conference on Human factors in Computing Systems, pp. 1634\u20131646. ACM (2017)","DOI":"10.1145\/3025453.3025909"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1007\/11503415_33","volume-title":"Learning Theory","author":"Mikhail Belkin","year":"2005","unstructured":"Belkin, M., Niyogi, P.: Towards a theoretical foundation for Laplacian-based manifold methods. In: Proceedings of the International Conference on Computational Learning Theory, pp. 486\u2013500 (2005)"},{"key":"6_CR5","unstructured":"Bruna, J., Zaremba, W., Szlam, A., LeCun, Y.: Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013)"},{"issue":"2","key":"6_CR6","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1257\/aer.103.2.690","volume":"103","author":"MK Chen","year":"2013","unstructured":"Chen, M.K.: The effect of language on economic behavior: evidence from savings rates, health behaviors, and retirement assets. Am. Econ. Rev. 103(2), 690\u2013731 (2013)","journal-title":"Am. Econ. Rev."},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Culotta, A.: Estimating county health statistics with Twitter. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1335\u20131344 (2014)","DOI":"10.1145\/2556288.2557139"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"De Choudhury, M., Counts, S., Horvitz, E.: Social media as a measurement tool of depression in populations. In: Proceedings of the Annual ACM Web Science Conference, pp. 47\u201356 (2013)","DOI":"10.1145\/2464464.2464480"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"De Choudhury, M., Gamon, M., Counts, S., Horvitz, E.: Predicting depression via social media. In: Proceedings of the International AAAI Conference on Weblogs and Social Media, pp. 128\u2013137 (2013)","DOI":"10.1609\/icwsm.v7i1.14432"},{"key":"6_CR10","unstructured":"Defferrard, M., Bresson, X., Vandergheynst, P.: Convolutional neural networks on graphs with fast localized spectral filtering. In: Proceedings of the Advances in Neural Information Processing Systems, pp. 3844\u20133852 (2016)"},{"issue":"12","key":"6_CR11","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.14778\/2367502.2367562","volume":"5","author":"J Dittrich","year":"2012","unstructured":"Dittrich, J., Quian\u00e9-Ruiz, J.-A.: Efficient big data processing in Hadoop MapReduce. Proc. VLDB Endow. 5(12), 2014\u20132015 (2012)","journal-title":"Proc. VLDB Endow."},{"issue":"2","key":"6_CR12","first-page":"64","volume":"29","author":"M Dredze","year":"2014","unstructured":"Dredze, M., Paul, M.J.: Natural language processing for health and social media. IEEE Intell. Syst. 29(2), 64\u201367 (2014)","journal-title":"IEEE Intell. Syst."},{"key":"6_CR13","volume-title":"The Measurement of Psychological States Through the Content Analysis of Verbal Behavior","author":"LA Gottschalk","year":"1979","unstructured":"Gottschalk, L.A., Gleser, G.C.: The Measurement of Psychological States Through the Content Analysis of Verbal Behavior. University of California Press, Berkeley (1979)"},{"key":"6_CR14","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: ICLR (2017)"},{"key":"6_CR15","unstructured":"Mowery, D., Bryan, C., Conway, M.: Feature studies to inform the classification of depressive symptoms from Twitter data for population health. arXiv:1701.08229 (2017)"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Nguyen, T., et al.: Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. (2018)","DOI":"10.1016\/j.future.2018.01.014"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.dss.2017.06.010","volume":"102","author":"T Nguyen","year":"2017","unstructured":"Nguyen, T., et al.: Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. 102, 22\u201331 (2017)","journal-title":"Decis. Support Syst."},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Nguyen, T., et al.: Prediction of population health indices from social media using kernel-based textual and temporal features. In: Proceedings of the International Conference on World Wide Web Companion, pp. 99\u2013107 (2017)","DOI":"10.1145\/3041021.3054136"},{"key":"6_CR19","unstructured":"Niepert, M., Ahmed, M., Kutzkov, K.: Learning convolutional neural networks for graphs. In: Proceedings of the International Conference on Machine Learning, pp. 2014\u20132023 (2016)"},{"key":"6_CR20","unstructured":"Paul, M.J., Dredze, M.: You are what you tweet: analysing Twitter for public health. In: Processing of the International AAAI Conference on Weblogs and Social Media (2011)"},{"key":"6_CR21","first-page":"16","volume":"11","author":"MJ Paul","year":"2012","unstructured":"Paul, M.J., Dredze, M.: A model for mining public health topics from Twitter. Health 11, 16\u20136 (2012)","journal-title":"Health"},{"issue":"3","key":"6_CR22","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1037\/0021-843X.95.3.274","volume":"95","author":"JW Pennebaker","year":"1986","unstructured":"Pennebaker, J.W., Beall, S.K.: Confronting a traumatic event: toward an understanding of inhibition and disease. J. Abnorm. Psychol. 95(3), 274 (1986)","journal-title":"J. Abnorm. Psychol."},{"key":"6_CR23","unstructured":"Pennebaker, J.W., Booth, R.J., Boyd, R.L., Francis, M.E.: Linguistic Inquiry and Word Count: LIWC 2015 [Computer software]. Pennebaker Conglomerates Inc. (2015)"},{"key":"6_CR24","unstructured":"Pennebaker, J.W., Francis, M.E., Booth, R.J.: Linguistic inquiry and word count: LIWC 2001. Mahway: Lawrence Erlbaum Associates, vol. 71, no. 2001, p. 2001 (2001)"},{"issue":"1","key":"6_CR25","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1146\/annurev.psych.54.101601.145041","volume":"54","author":"JW Pennebaker","year":"2003","unstructured":"Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.G.: Psychological aspects of natural language use: our words, our selves. Ann. Rev. Psychol. 54(1), 547\u2013577 (2003)","journal-title":"Ann. Rev. Psychol."},{"issue":"1","key":"6_CR26","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1140\/epjds\/s13688-017-0110-z","volume":"6","author":"AG Reece","year":"2017","unstructured":"Reece, A.G., Danforth, C.M.: Instagram photos reveal predictive markers of depression. EPJ Data Sci. 6(1), 15 (2017)","journal-title":"EPJ Data Sci."},{"issue":"7","key":"6_CR27","doi-asserted-by":"publisher","first-page":"e1002616","DOI":"10.1371\/journal.pcbi.1002616","volume":"8","author":"M Salathe","year":"2012","unstructured":"Salathe, M., et al.: Digital epidemiology. PLoS Comput. Biol. 8(7), e1002616 (2012)","journal-title":"PLoS Comput. Biol."},{"key":"6_CR28","doi-asserted-by":"crossref","unstructured":"Schwartz, H.A., et al.: Characterizing geographic variation in well-being using tweets. In: Proceedings of the International AAAI Conference on Weblogs and Social Media, pp. 583\u2013591 (2013)","DOI":"10.1609\/icwsm.v7i1.14442"},{"key":"6_CR29","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Lio, P., Bengio, Y., Romero, A.: Graph attention networks. In: ICLR (2018)"},{"issue":"4","key":"6_CR30","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Luxburg Von","year":"2007","unstructured":"Von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395\u2013416 (2007)","journal-title":"Stat. Comput."},{"key":"6_CR31","unstructured":"Xu, K., Hu, W., Leskovec, J., Jegelka, S.: How powerful are graph neural networks? In: ICLR (2019)"},{"issue":"4","key":"6_CR32","first-page":"45","volume":"37","author":"M Zaharia","year":"2012","unstructured":"Zaharia, M., et al.: Fast and interactive analytics over Hadoop data with Spark. Usenix Login 37(4), 45\u201351 (2012)","journal-title":"Usenix Login"}],"container-title":["Communications in Computer and Information Science","Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-1699-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T06:48:00Z","timestamp":1695451680000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-1699-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811516986","9789811516993"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-1699-3_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AusDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Conference on Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Adelaide, SA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausdm2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nugget.unisa.edu.au\/AusDM2019","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":"56","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":"20","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":"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":"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":"-","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)"}}]}}