{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:01:08Z","timestamp":1760709668995,"version":"3.37.3"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T00:00:00Z","timestamp":1532563200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772211"],"award-info":[{"award-number":["61772211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1007\/s11227-018-2500-9","type":"journal-article","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T08:22:19Z","timestamp":1532593339000},"page":"5601-5624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure"],"prefix":"10.1007","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6651-1175","authenticated-orcid":false,"given":"Chaobo","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Fei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanchao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuangyin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"key":"2500_CR1","doi-asserted-by":"publisher","first-page":"026113","DOI":"10.1103\/PhysRevE.69.026113","volume":"69","author":"ME Newman","year":"2004","unstructured":"Newman ME, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69:026113","journal-title":"Phys Rev E"},{"issue":"3","key":"2500_CR2","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1007\/s11227-017-2114-7","volume":"74","author":"F Hao","year":"2018","unstructured":"Hao F, Park DS (2018) cSketch: a novel framework for capturing cliques from big graph. J Supercomput 74(3):1202\u20131214","journal-title":"J Supercomput"},{"key":"2500_CR3","doi-asserted-by":"publisher","first-page":"042822","DOI":"10.1103\/PhysRevE.88.042822","volume":"88","author":"ME Newman","year":"2013","unstructured":"Newman ME (2013) Spectral methods for community detection and graph partitioning. Phys Rev E 88:042822","journal-title":"Phys Rev E"},{"key":"2500_CR4","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.tcs.2015.11.034","volume":"613","author":"MD Ianni","year":"2016","unstructured":"Ianni MD, Gambosi G, Rossi G et al (2016) Min-max communities in graphs: complexity and computational properties. Theor Comput Sci 613:94\u2013114","journal-title":"Theor Comput Sci"},{"issue":"4","key":"2500_CR5","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1007\/s11280-014-0279-z","volume":"18","author":"DL Peng","year":"2015","unstructured":"Peng DL, Lei X, Huang T (2015) DICH: a framework for discovering implicit communities hidden in tweets. World Wide Web 18(4):795\u2013818","journal-title":"World Wide Web"},{"key":"2500_CR6","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.physa.2015.09.093","volume":"443","author":"J Xiang","year":"2016","unstructured":"Xiang J, Tao H, Zhang Y, Hu K et al (2016) Local modularity for community detection in complex networks. Physica A 443:451\u2013459","journal-title":"Physica A"},{"key":"2500_CR7","doi-asserted-by":"crossref","unstructured":"Shakarian P, Roos P, Callahan D, et al. (2013) Mining for geographically disperse communities in social networks by leveraging distance modularity. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp 1402\u20131409","DOI":"10.21236\/ADA590262"},{"key":"2500_CR8","doi-asserted-by":"publisher","first-page":"066111","DOI":"10.1103\/PhysRevE.70.066111","volume":"70","author":"A Clauset","year":"2004","unstructured":"Clauset A, Newman ME, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70:066111","journal-title":"Phys Rev E"},{"issue":"11","key":"2500_CR9","doi-asserted-by":"publisher","first-page":"2717","DOI":"10.1109\/TKDE.2014.2304458","volume":"6","author":"WY Zhu","year":"2014","unstructured":"Zhu WY, Peng WC, Hung CC et al (2014) Exploring sequential probability tree for movement-based community discovery. IEEE Trans Knowl Data Eng 6(11):2717\u20132730","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"4","key":"2500_CR10","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1007\/s13278-013-0130-z","volume":"3","author":"G Costa","year":"2013","unstructured":"Costa G, Ortale R (2013) Probabilistic analysis of communities and inner roles in networks: bayesian generative models and approximate inference. Soc Netw Anal Min 3(4):1015\u20131038","journal-title":"Soc Netw Anal Min"},{"key":"2500_CR11","doi-asserted-by":"crossref","unstructured":"Zhang Y, Yeung DY (2012) Overlapping community detection via bounded nonnegative matrix tri-factorization. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp 606\u2013614","DOI":"10.1145\/2339530.2339629"},{"key":"2500_CR12","first-page":"1","volume":"99","author":"Y Ma","year":"2017","unstructured":"Ma Y, Hu X, He T et al (2017) Clustering and integrating of heterogeneous microbiome data by joint symmetric nonnegative matrix factorization with laplacian regularization. IEEE\/ACM Trans Comput Biol Bioinf 99:1","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"issue":"6","key":"2500_CR13","doi-asserted-by":"publisher","first-page":"e3924","DOI":"10.1002\/cpe.3924","volume":"29","author":"CB He","year":"2017","unstructured":"He CB, Li HC, Fei X et al (2017) A topic community-based method for friend recommendation in large-scale online social networks. Concurr Comput Pract Exp 29(6):e3924","journal-title":"Concurr Comput Pract Exp"},{"issue":"4","key":"2500_CR14","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TKDE.2016.2637898","volume":"29","author":"SY Liu","year":"2017","unstructured":"Liu SY, Wang SH (2017) Trajectory community discovery and recommendation by multi-source diffusion modeling. IEEE Trans Knowl Data Eng 29(4):898\u2013911","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"11","key":"2500_CR15","doi-asserted-by":"publisher","first-page":"2585","DOI":"10.1109\/TCYB.2014.2377154","volume":"45","author":"L Yang","year":"2015","unstructured":"Yang L, Cao XC, Jin D et al (2015) A unified semi-supervised community detection framework using latent space graph regularization. IEEE Trans Cybern 45(11):2585\u20132598","journal-title":"IEEE Trans Cybern"},{"key":"2500_CR16","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.eswa.2017.09.007","volume":"91","author":"WM Li","year":"2018","unstructured":"Li WM, Xie J, Xin MJ et al (2018) An overlapping network community partition algorithm based on semi-supervised matrix factorization and random walk. Expert Syst Appl 91:277\u2013285","journal-title":"Expert Syst Appl"},{"key":"2500_CR17","unstructured":"He CB, Fei X, Li HC, et al. (2017) Community discovery in large-scale complex networks using distributed SimRank nonnegative matrix factorization. In: Proceedings of the 5th International Conference on Advanced Cloud and Big Data. IEEE, pp 226\u2013231"},{"key":"2500_CR18","doi-asserted-by":"publisher","first-page":"026120","DOI":"10.1103\/PhysRevE.73.026120","volume":"73","author":"EA Leicht","year":"2006","unstructured":"Leicht EA, Holme P, Newman ME (2006) Vertex similarity in networks. Phys Rev E 73:026120","journal-title":"Phys Rev E"},{"key":"2500_CR19","unstructured":"Kondor RI, Lafferty J (2002) Diffusion kernels on graphs and other discrete input space. In: Proceedings of the 19th International Conference on Machine Learning. IEEE, pp 315\u2013322"},{"issue":"5","key":"2500_CR20","doi-asserted-by":"publisher","first-page":"58007","DOI":"10.1209\/0295-5075\/89\/58007","volume":"89","author":"WP Liu","year":"2010","unstructured":"Liu WP, L\u00fc LY (2010) Link prediction based on local random walk. Europhys Lett 89(5):58007\u201358012","journal-title":"Europhys Lett"},{"key":"2500_CR21","doi-asserted-by":"crossref","unstructured":"Jeh G, Widom J (2002) SimRank: a measure of structural-context similarity. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp 538\u2013543","DOI":"10.1145\/775047.775126"},{"key":"2500_CR22","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee DD, Seung HS (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401:788\u2013791","journal-title":"Nature"},{"key":"2500_CR23","unstructured":"Lee DD, Seung HS (2000) Algorithms for non-negative matrix factorization. In: Proceedings of the 24th Annual Conference on Neural Information Processing Systems. Curran Associates, pp 556\u2013562"},{"issue":"5","key":"2500_CR24","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1109\/TNB.2015.2422612","volume":"14","author":"Y Ling","year":"2015","unstructured":"Ling Y, Pan XL, Li GR et al (2015) Clinical documents clustering based on medication\/symptom names using multi-view nonnegative matrix factorization. IEEE Trans Nanobiosci 14(5):500\u2013504","journal-title":"IEEE Trans Nanobiosci"},{"key":"2500_CR25","unstructured":"Trung ND, Schmidt-Thieme L, Trung ND, et al. (2017) On discovering the number of document topics via conceptual latent space. In: Proceedings of the 26th ACM on Conference on Information and Knowledge Management. ACM, pp 2051\u20132054"},{"issue":"10","key":"2500_CR26","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1109\/TASL.2013.2270369","volume":"21","author":"N Mohammadiha","year":"2013","unstructured":"Mohammadiha N, Smaragdis P, Leijon A (2013) Supervised and unsupervised speech enhancement using nonnegative matrix factorization. IEEE Trans Audio Speech Lang Process 21(10):2140\u20132151","journal-title":"IEEE Trans Audio Speech Lang Process"},{"issue":"5","key":"2500_CR27","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s11280-016-0405-1","volume":"20","author":"ZG Yang","year":"2017","unstructured":"Yang ZG, Li Q, Liu WY et al (2017) Dual graph regularized NMF model for social event detection from Flickr data. World Wide Web 20(5):995\u20131015","journal-title":"World Wide Web"},{"issue":"6","key":"2500_CR28","doi-asserted-by":"publisher","first-page":"2469","DOI":"10.1109\/TIP.2016.2545300","volume":"25","author":"HJ Lai","year":"2016","unstructured":"Lai HJ, Yan P, Shu XB et al (2016) Instance-aware hashing for multi-label image retrieval. IEEE Trans Image Process 25(6):2469\u20132479","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"2500_CR29","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/s10115-013-0710-2","volume":"39","author":"R Kannan","year":"2014","unstructured":"Kannan R, Ishteva M, Park H (2014) Bounded matrix factorization for recommender system. Knowl Inf Syst 39(3):491\u2013511","journal-title":"Knowl Inf Syst"},{"key":"2500_CR30","unstructured":"Ding CHQ, He X (2015) On the equivalence of nonnegative matrix factorization and spectral clustering. In: Proceedings of 5th SIAM International Conference on Data Mining. ACM, pp 606\u2013610"},{"issue":"3","key":"2500_CR31","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10618-010-0181-y","volume":"22","author":"F Wang","year":"2011","unstructured":"Wang F, Li T, Wang X et al (2011) Community discovery using nonnegative matrix factorization. Data Min Knowl Discov 22(3):493\u2013521","journal-title":"Data Min Knowl Discov"},{"key":"2500_CR32","unstructured":"Nguyen NP, Thai MT (2012) Finding overlapped communities in online social networks with nonnegative matrix factorization. In: Proceedings of 33rd IEEE Military Communications Conference. IEEE, pp 1\u20136"},{"key":"2500_CR33","doi-asserted-by":"publisher","first-page":"062803","DOI":"10.1103\/PhysRevE.87.062803","volume":"87","author":"ZY Zhang","year":"2013","unstructured":"Zhang ZY, Wang Y, Ahn YY (2013) An overlapping community detection in complex networks using symmetric binary matrix factorization. Phys Rev E 87:062803","journal-title":"Phys Rev E"},{"key":"2500_CR34","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.ins.2018.01.008","volume":"435","author":"WH Wu","year":"2018","unstructured":"Wu WH, Kwong S, Zhou Y et al (2018) Nonnegative matrix factorization with mixed hypergraph regularization for community detection. Inf Sci 435:263\u2013281","journal-title":"Inf Sci"},{"issue":"5","key":"2500_CR35","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1109\/TKDE.2017.2657752","volume":"29","author":"XK Ma","year":"2017","unstructured":"Ma XK, Dong D (2017) Evolutionary nonnegative matrix factorization algorithms for community detection in dynamic networks. IEEE Trans Knowl Data Eng 29(5):1045\u20131058","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2500_CR36","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/j.ins.2016.11.028","volume":"381","author":"X Liu","year":"2017","unstructured":"Liu X, Wang WJ, He DX et al (2017) Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf Sci 381:304\u2013321","journal-title":"Inf Sci"},{"key":"2500_CR37","unstructured":"Shi XH, Lu HT (2016) Community inference with Bayesian non-negative matrix factorization. In: Proceedings of the 18th Asia-Pacific Web Conference on Web Technologies and Applications. Springer, pp 208\u2013219"},{"issue":"3","key":"2500_CR38","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1007\/s10898-014-0247-2","volume":"62","author":"D Kuang","year":"2015","unstructured":"Kuang D, Yun S, Park H (2015) SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J Global Optim 62(3):545\u2013574","journal-title":"J Global Optim"},{"key":"2500_CR39","unstructured":"Yu WR, Lin XM, Zhang WJ (2013) Towards efficient SimRank computation on large networks. In: Proceedings of the 29th IEEE International Conference on Data Engineering. IEEE, pp 601\u2013612"},{"key":"2500_CR40","unstructured":"Du YT, Guan XH, Cai ZM (2010) Enhancing web page classification via local co-training. In: Proceedings of the 20th International Conference on Pattern Recognition. IEEE, pp 23\u201326"},{"key":"2500_CR41","unstructured":"Yang J, Leskovec J (2012) Defining and evaluating network communities based on ground-truth. In: Proceedings of 12th IEEE International Conference on Data Mining. IEEE, pp 745\u2013754"},{"key":"2500_CR42","doi-asserted-by":"publisher","first-page":"093403","DOI":"10.1088\/1742-5468\/2016\/09\/093403","volume":"9","author":"DR Lai","year":"2016","unstructured":"Lai DR, Nardini C (2016) A corrected normalized mutual information for performance evaluation of community detection. J Stat Mech Theory Exp 9:093403","journal-title":"J Stat Mech Theory Exp"},{"key":"2500_CR43","doi-asserted-by":"crossref","unstructured":"Ekanayake J, Li H, Zhang BJ, et al. (2010) Twister: a runtime for iterative MapReduce. In: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing. ACM, pp 810\u2013818","DOI":"10.1145\/1851476.1851593"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11227-018-2500-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-018-2500-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-018-2500-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T11:45:45Z","timestamp":1569066345000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11227-018-2500-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,26]]},"references-count":43,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["2500"],"URL":"https:\/\/doi.org\/10.1007\/s11227-018-2500-9","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"type":"print","value":"0920-8542"},{"type":"electronic","value":"1573-0484"}],"subject":[],"published":{"date-parts":[[2018,7,26]]},"assertion":[{"value":"26 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}