{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:28:27Z","timestamp":1777703307128,"version":"3.51.4"},"reference-count":34,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2016,12,5]],"date-time":"2016-12-05T00:00:00Z","timestamp":1480896000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2016,12,5]]},"abstract":"<jats:p>Most existing methods use only network topology information, which neglect much other important information such as the network background information which could be useful to uncover the network communities. In this paper, we proposed a fast semi-supervised algorithm to uncover the fuzzy network communities using label propagation technology, which incorporating the prior information to facilitate the community detection process. Specially, we know the true community membership of a certain percentage nodes in advance. Firstly, the node graph is transformed to line graph, and the weight of line graph are defined. Then, the proposed algorithm is applied in the line graph to propagate the label of certain labeled nodes to the whole network until convergence, and the final label of a given node is its community id. It worth mentioning that our algorithm is very fast and with almost linear time complexity. Extensive simulations using both synthetic and real-world benchmark networks are performed to verify the algorithmic performance.<\/jats:p>","DOI":"10.3233\/jifs-169171","type":"journal-article","created":{"date-parts":[[2016,12,6]],"date-time":"2016-12-06T11:07:37Z","timestamp":1481022457000},"page":"2887-2893","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Detecting fuzzy network communities based\u00a0on semi-supervised label propagation"],"prefix":"10.1177","volume":"31","author":[{"given":"Huijia","family":"Li","sequence":"first","affiliation":[{"name":"School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,12,5]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.066111"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.056117"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.046110"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2167751"},{"key":"e_1_3_2_6_2","first-page":"592","article-title":"The stanford GraphBase: A platform for combinatorial computing","volume":"37","author":"Knuth D.E.","year":"1993","unstructured":"KnuthD.E., The stanford GraphBase: A platform for combinatorial computing, Reading, MA: Addison-Wesley Professional37 (1993), 592.","journal-title":"Reading, MA: Addison-Wesley Professional"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2012\/10\/P10015"},{"issue":"8638","key":"e_1_3_2_8_2","first-page":"1","article-title":"Identification of hybrid node and link communities in complex networks","volume":"5","author":"He D.","year":"2015","unstructured":"HeD., JinD., ChenZ. and ZhangW., Identification of hybrid node and link communities in complex networks, Scientific Reports5(8638) (2015), 1\u201314.","journal-title":"Scientific Reports"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0217979214502087"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00265-003-0651-y"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/e2008-00425-1"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature05670"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.86.016109"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/103\/58002"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.72.027104"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.100.258701"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1137\/1035004"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2360723"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2518687"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.74.035102"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.056122"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.066133"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.026113"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.122653799"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0219525903001067"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.81.046114"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature03288"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.68.065103"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2349918"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.016105"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/e2010-00261-8"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.036106"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1086\/jar.33.4.3629752"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature09182"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0083739"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169171","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169171","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:38:23Z","timestamp":1777455503000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169171"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,5]]},"references-count":34,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2016,12,5]]}},"alternative-id":["10.3233\/JIFS-169171"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169171","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,5]]}}}