{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:46:58Z","timestamp":1743014818595,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":27,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811945489"},{"type":"electronic","value":"9789811945496"}],"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\/978-981-19-4549-6_16","type":"book-chapter","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T20:17:11Z","timestamp":1658434631000},"page":"199-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Attributed Network Embedding Based on\u00a0Attributed-Subgraph-Based Random Walk for\u00a0Community Detection"],"prefix":"10.1007","author":[{"given":"Qinze","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"issue":"12","key":"16_CR1","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan, M., Newman, M.E.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99(12), 7821\u20137826 (2002)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"16_CR2","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.neucom.2020.05.080","volume":"409","author":"C Hou","year":"2020","unstructured":"Hou, C., He, S., Tang, K.: RoSANE: robust and scalable attributed network embedding for sparse networks. Neurocomputing 409, 231\u2013243 (2020)","journal-title":"Neurocomputing"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Cao, S., Lu, W., Xu, Q.: GraRep: learning graph representations with global structural information. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 891\u2013900 (2015)","DOI":"10.1145\/2806416.2806512"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Qiu, J., Dong, Y., Ma, H., Li, J., Wang, K., Tang, J.: Network embedding as matrix factorization: unifying DeepWalk, LINE, PTE, and node2vec. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining, pp. 459\u2013467 (2018)","DOI":"10.1145\/3159652.3159706"},{"key":"16_CR5","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":"16_CR6","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"issue":"1","key":"16_CR7","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","volume":"20","author":"F Scarselli","year":"2008","unstructured":"Scarselli, F., Gori, M., Tsoi, A.C., Hagenbuchner, M., Monfardini, G.: The graph neural network model. IEEE Trans. Neural Netw. 20(1), 61\u201380 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"key":"16_CR8","unstructured":"Hamilton, W.L., Ying, R., Leskovec, J.: Inductive representation learning on large graphs. arXiv preprint arXiv:1706.02216 (2017)"},{"key":"16_CR9","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Yang, C., Sun, M., Liu, Z., Tu, C.: Fast network embedding enhancement via high order proximity approximation. In: IJCAI, pp. 3894\u20133900 (2017)","DOI":"10.24963\/ijcai.2017\/544"},{"issue":"2","key":"16_CR11","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theor. 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theor."},{"key":"16_CR12","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"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Wang, D., Cui, P., Zhu, W.: Structural deep network embedding. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1225\u20131234 (2016)","DOI":"10.1145\/2939672.2939753"},{"key":"16_CR14","unstructured":"Yang, C., Liu, Z., Zhao, D., Sun, M., Chang, M.: Network representation learning with rich text information. In: 24th International Joint Conference on Artificial Intelligence (2015)"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Huang, X. Li, J., Hu, X.: Accelerated attributed network embedding. In: Proceedings of the 2017 SIAM International Conference on Data Mining, pp. 633\u2013641. SIAM (2017)","DOI":"10.1137\/1.9781611974973.71"},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Yang, H., Pan, S., Zhang, P., Chen, L., Lian, D., Zhang, C.: Binarized attributed network embedding. In: 2018 IEEE International Conference on Data Mining (ICDM), pp. 1476\u20131481. IEEE (2018)","DOI":"10.1109\/ICDM.2018.8626170"},{"key":"16_CR17","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"key":"16_CR18","unstructured":"Kipf, T.N., Welling, M.: Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016)"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., Zhang, C.: Adversarially regularized graph autoencoder for graph embedding. arXiv preprint arXiv:1802.04407 (2018)","DOI":"10.24963\/ijcai.2018\/362"},{"issue":"9","key":"16_CR20","first-page":"12","volume":"11","author":"S Pan","year":"2016","unstructured":"Pan, S., Wu, J., Zhu, X., Zhang, C., Wang, Y.: Tri-party deep network representation. Network 11(9), 12 (2016)","journal-title":"Network"},{"key":"16_CR21","first-page":"1738","volume":"325","author":"S Bandyopadhyay","year":"2020","unstructured":"Bandyopadhyay, S., Biswas, A., Kara, H., Murty, M.: A multilayered informative random walk for attributed social network embedding. Front. Artif. Intell. Appl. 325, 1738\u20131745 (2020)","journal-title":"Front. Artif. Intell. Appl."},{"issue":"6","key":"16_CR22","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1145\/293347.293348","volume":"45","author":"S Arya","year":"1998","unstructured":"Arya, S., Mount, D.M., Netanyahu, N.S., Silverman, R., Wu, A.Y.: An optimal algorithm for approximate nearest neighbor searching fixed dimensions. J. ACM (JACM) 45(6), 891\u2013923 (1998)","journal-title":"J. ACM (JACM)"},{"key":"16_CR23","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. arXiv preprint arXiv:1310.4546 (2013)"},{"issue":"4","key":"16_CR24","doi-asserted-by":"publisher","first-page":"046110","DOI":"10.1103\/PhysRevE.78.046110","volume":"78","author":"A Lancichinetti","year":"2008","unstructured":"Lancichinetti, A., Fortunato, S., Radicchi, F.: Benchmark graphs for testing community detection algorithms. Phys. Rev. E 78(4), 046110 (2008)","journal-title":"Phys. Rev. E"},{"issue":"2","key":"16_CR25","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3390\/s19020260","volume":"19","author":"B Huang","year":"2019","unstructured":"Huang, B., Wang, C., Wang, B.: NMLPA: uncovering overlapping communities in attributed networks via a multi-label propagation approach. Sensors 19(2), 260 (2019)","journal-title":"Sensors"},{"issue":"09","key":"16_CR26","doi-asserted-by":"publisher","first-page":"P09008","DOI":"10.1088\/1742-5468\/2005\/09\/P09008","volume":"2005","author":"L Danon","year":"2005","unstructured":"Danon, L., Diaz-Guilera, A., Duch, J., Arenas, A.: Comparing community structure identification. J. Stat. Mech. Theor. Exp. 2005(09), P09008 (2005)","journal-title":"J. Stat. Mech. Theor. Exp."},{"issue":"11","key":"16_CR27","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Rese. 9(11), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Rese."}],"container-title":["Communications in Computer and Information Science","Computer Supported Cooperative Work and Social Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-4549-6_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T20:18:49Z","timestamp":1658434729000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-4549-6_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811945489","9789811945496"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-4549-6_16","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":"22 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ChineseCSCW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF Conference on Computer Supported Cooperative Work  and Social Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xiangtan","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"chinesecscw2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.scholat.com\/home\/ccscw\/2021","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}