{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T23:36:52Z","timestamp":1769125012185,"version":"3.49.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T00:00:00Z","timestamp":1649635200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T00:00:00Z","timestamp":1649635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"national key research and development program of china","award":["No 2018YFB1402500"],"award-info":[{"award-number":["No 2018YFB1402500"]}]},{"DOI":"10.13039\/501100001809","name":"national science foundation of china","doi-asserted-by":"crossref","award":["61832004"],"award-info":[{"award-number":["61832004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"national science foundation of china","doi-asserted-by":"crossref","award":["61772155"],"award-info":[{"award-number":["61772155"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"national science foundation of china","doi-asserted-by":"crossref","award":["61802089"],"award-info":[{"award-number":["61802089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"national science foundation of china","doi-asserted-by":"crossref","award":["61832014"],"award-info":[{"award-number":["61832014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SOCA"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11761-022-00333-9","type":"journal-article","created":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T06:03:42Z","timestamp":1649657022000},"page":"97-110","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Community-based service ecosystem evolution analysis"],"prefix":"10.1007","volume":"16","author":[{"given":"Mingyi","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zhiying","family":"Tu","sequence":"additional","affiliation":[]},{"given":"Hanchuan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xiaofei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Zhongjie","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,11]]},"reference":[{"key":"333_CR1","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi A, Berrada M (2018) Peeking inside the black-box: a survey on explainable artificial intelligence (xai). IEEE Access 6:52138\u201352160","journal-title":"IEEE Access"},{"key":"333_CR2","doi-asserted-by":"crossref","unstructured":"Adeleye O, Yu J, Yongchareon S, Han Y (2018) Constructing and evaluating an evolving web-API network for service discovery. Service-oriented computing, In: 16th international conference pp. 603\u2013617","DOI":"10.1007\/978-3-030-03596-9_44"},{"issue":"6","key":"333_CR3","doi-asserted-by":"publisher","first-page":"3561","DOI":"10.1007\/s10489-020-01999-4","volume":"51","author":"S Bahadori","year":"2021","unstructured":"Bahadori S, Moradi P, Zare H (2021) An improved limited random walk approach for identification of overlapping communities in complex networks. Appl Intell 51(6):3561\u20133580","journal-title":"Appl Intell"},{"issue":"10","key":"333_CR4","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008","journal-title":"J Stat Mech Theory Exp"},{"issue":"1","key":"333_CR5","first-page":"1","volume":"3","author":"P Br\u00f3dka","year":"2012","unstructured":"Br\u00f3dka P, Saganowski S, Kazienko P (2012) GED: the method for group evolution discovery in social networks. Social Netw Anal Mining 3(1):1\u201314","journal-title":"Social Netw Anal Mining"},{"key":"333_CR6","doi-asserted-by":"crossref","unstructured":"Dakiche N, Tayeb FB, Slimani Y, Benatchba K (2018) Sensitive analysis of timeframe type and size impact on community evolution prediction. In: 2018 IEEE international conference on fuzzy systems (FUZZ-IEEE), pp 1\u20138","DOI":"10.1109\/FUZZ-IEEE.2018.8491668"},{"key":"333_CR7","doi-asserted-by":"crossref","unstructured":"Dakiche N, Tayeb FBS, Slimani Y, Benatchba K (2019) Community evolution prediction in dynamic social networks using community features\u2019 change rates. In: Proceedings of the 34th ACM\/SIGAPP symposium on applied computing, pp 2078\u20132085","DOI":"10.1145\/3297280.3297484"},{"key":"333_CR8","doi-asserted-by":"crossref","unstructured":"Dakiche N, Tayeb FBS, Slimani Y, Benatchba K (2019) Community evolution prediction in dynamic social networks using community features\u2019 change rates. In: Proceedings of the 34th ACM\/SIGAPP symposium on applied computing, SAC \u201919, pp 2078\u20132085. Association for Computing Machinery, New York, NY, USA","DOI":"10.1145\/3297280.3297484"},{"key":"333_CR9","doi-asserted-by":"crossref","unstructured":"Fokaefs M, Stroulia E (2014) Wsdarwin: studying the evolution of web service systems. In: Advanced Web Services, pp. 199\u2013223. Springer","DOI":"10.1007\/978-1-4614-7535-4_9"},{"issue":"3","key":"333_CR10","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1109\/TASE.2013.2297026","volume":"11","author":"K Huang","year":"2014","unstructured":"Huang K, Fan Y, Tan W (2014) Recommendation in an evolving service ecosystem based on network prediction. IEEE Trans Autom Sci Eng 11(3):906\u2013920","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"333_CR11","doi-asserted-by":"publisher","unstructured":"Huang K, Liu Y, Nepal S, Fan Y, Chen S, Tan W (2014) A novel equitable trustworthy mechanism for service recommendation in the evolving service ecosystemeditor. In: Franch X, Ghose AK, Lewis GA, Bhiri S (eds) 12th international conference on service-oriented computing (ICSOC), Paris, France, November 3\u20136, 2014. Lecture notes in computer science, vol\u00a08831. Springer, pp\u00a0510\u2013517. https:\/\/doi.org\/10.1007\/978-3-662-45391-9_43","DOI":"10.1007\/978-3-662-45391-9_43"},{"issue":"1","key":"333_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10618-020-00716-6","volume":"35","author":"X Huang","year":"2021","unstructured":"Huang X, Chen D, Ren T, Wang D (2021) A survey of community detection methods in multilayer networks. Data Mining Knowl Discov 35(1):1\u201345","journal-title":"Data Mining Knowl Discov"},{"key":"333_CR13","unstructured":"Khan BS, Niazi MA (2017) Network community detection: a review and visual survey. arXiv preprint arXiv:1708.00977"},{"key":"333_CR14","doi-asserted-by":"publisher","unstructured":"Liu M, Tu Z, Wang J, Wang Z(2020) A novel multi-layer network model for service ecosystems. In: 2020 international conference on service science (ICSS), pp 23\u201330. https:\/\/doi.org\/10.1109\/ICSS50103.2020.00012","DOI":"10.1109\/ICSS50103.2020.00012"},{"key":"333_CR15","unstructured":"Liu M, Tu Z, Xu X, Wang Z (2020) A data-driven approach for constructing multilayer network-based service ecosystem models. CoRR. arXiv:2004.10383"},{"issue":"4","key":"333_CR16","doi-asserted-by":"publisher","first-page":"e0188747","DOI":"10.1371\/journal.pone.0188747","volume":"13","author":"W Liu","year":"2018","unstructured":"Liu W, Suzumura T, Ji H, Hu G (2018) Finding overlapping communities in multilayer networks. PloS One 13(4):e0188747","journal-title":"PloS One"},{"key":"333_CR17","first-page":"4765","volume-title":"Advances in neural information processing systems","author":"SM Lundberg","year":"2017","unstructured":"Lundberg SM, Lee SI (2017) A unified approach to interpreting model predictions. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, Garnett R (eds) Advances in neural information processing systems, vol 30. Curran Associates Inc, New York, pp 4765\u20134774"},{"issue":"2","key":"333_CR18","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/TKDE.2018.2832205","volume":"31","author":"X Ma","year":"2018","unstructured":"Ma X, Dong D, Wang Q (2018) Community detection in multi-layer networks using joint nonnegative matrix factorization. IEEE Trans Knowl Data Eng 31(2):273\u2013286","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"7136","key":"333_CR19","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1038\/nature05670","volume":"446","author":"G Palla","year":"2007","unstructured":"Palla G, Barab\u00e1si AL, Vicsek T (2007) Quantifying social group evolution. Nature 446(7136):664\u2013667","journal-title":"Nature"},{"key":"333_CR20","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.future.2018.04.052","volume":"87","author":"W Pan","year":"2018","unstructured":"Pan W, Chai C (2018) Structure-aware mashup service clustering for cloud-based internet of things using genetic algorithm based clustering algorithm. Future Gener Comput Syst 87:267\u2013277","journal-title":"Future Gener Comput Syst"},{"issue":"3","key":"333_CR21","doi-asserted-by":"crossref","first-page":"e1301","DOI":"10.1002\/widm.1301","volume":"9","author":"P Probst","year":"2019","unstructured":"Probst P, Wright MN, Boulesteix AL (2019) Hyperparameters and tuning strategies for random forest. Wiley Inter Rev Data Mining Knowl Discov 9(3):e1301","journal-title":"Wiley Inter Rev Data Mining Knowl Discov"},{"key":"333_CR22","doi-asserted-by":"crossref","unstructured":"Revelle M, Domeniconi C, Gelman B (2021) Group-node attention for community evolution prediction","DOI":"10.1145\/3487351.3488348"},{"key":"333_CR23","doi-asserted-by":"crossref","unstructured":"Ribeiro MT, Singh S, Guestrin C (2016) Why should i trust you?: explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 1135\u20131144. ACM","DOI":"10.1145\/2939672.2939778"},{"issue":"5","key":"333_CR24","doi-asserted-by":"publisher","first-page":"3053","DOI":"10.3390\/e17053053","volume":"17","author":"S Saganowski","year":"2015","unstructured":"Saganowski S, Gliwa B, Br\u00f3dka P, Zygmunt A, Kazienko P, Ko\u017alak J (2015) Predicting community evolution in social networks. Entropy 17(5):3053\u20133096","journal-title":"Entropy"},{"key":"333_CR25","doi-asserted-by":"crossref","unstructured":"Sampaio A.R, Kadiyala H, Hu B, Steinbacher J, Erwin T, Rosa N, Beschastnikh I, Rubin J (2017)Supporting microservice evolution. In: 2017 IEEE international conference on software maintenance and evolution (ICSME), pp 539\u2013543","DOI":"10.1109\/ICSME.2017.63"},{"key":"333_CR26","doi-asserted-by":"crossref","unstructured":"Schroth C, Janner T (2007) Web 2.0 and soa: converging concepts enabling the internet of services. IT professional 9(3)","DOI":"10.1109\/MITP.2007.60"},{"key":"333_CR27","doi-asserted-by":"crossref","unstructured":"Souravlas S, Sifaleras A, Tsintogianni M, Katsavounis S (2021) A classification of community detection methods in social networks: a survey. Int J General Syst 50(1):63\u201391","DOI":"10.1080\/03081079.2020.1863394"},{"key":"333_CR28","doi-asserted-by":"publisher","first-page":"13624","DOI":"10.1109\/ACCESS.2018.2810198","volume":"6","author":"P Tao","year":"2018","unstructured":"Tao P, Sun Z, Sun Z (2018) An improved intrusion detection algorithm based on ga and svm. IEEE Access 6:13624\u201313631","journal-title":"IEEE Access"},{"key":"333_CR29","doi-asserted-by":"crossref","unstructured":"Wan Y, Chen L, Yu Q, Liang T, Wu J (2016) Incorporating heterogeneous information for mashup discovery with consistent regularization. In: Pacific-Asia conference on knowledge discovery and data mining, pp 436\u2013448. Springer","DOI":"10.1007\/978-3-319-31753-3_35"},{"key":"333_CR30","doi-asserted-by":"crossref","unstructured":"Wittern E, Laredo J, Vukovic M, Muthusamy V, Slominski A (2014) A Graph-based data model for API ecosystem insights. In: Proceedings of 2014 IEEE international conference on web services, pp 41\u201348. IEEE","DOI":"10.1109\/ICWS.2014.19"},{"key":"333_CR31","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MC.2015.182","volume":"7","author":"X Xu","year":"2015","unstructured":"Xu X, Sheng QZ, Zhang LJ, Fan Y, Dustdar S (2015) From big data to big service. Computer 7:80\u201383","journal-title":"Computer"},{"key":"333_CR32","doi-asserted-by":"crossref","unstructured":"Yu Y, Si X, Hu C, Zhang J (2019) A review of recurrent neural networks: Lstm cells and network architectures. Neural Comput 31(7):1235\u20131270","DOI":"10.1162\/neco_a_01199"},{"issue":"3","key":"333_CR33","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1109\/TSC.2014.2381496","volume":"8","author":"Y Zhong","year":"2014","unstructured":"Zhong Y, Fan Y, Huang K, Tan W, Zhang J (2014) Time-aware Service Recommendation for Mashup Creation. IEEE Trans Serv Comput 8(3):356\u2013368","journal-title":"IEEE Trans Serv Comput"},{"key":"333_CR34","doi-asserted-by":"crossref","unstructured":"Zhong Y, Fan Y, Huang K, Tan W, Zhang J(2014) Time-aware service recommendation for mashup creation in an evolving service ecosystem. In: 2014 IEEE international conference on web services. pp 25\u201332","DOI":"10.1109\/ICWS.2014.17"}],"container-title":["Service Oriented Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11761-022-00333-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11761-022-00333-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11761-022-00333-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T21:23:59Z","timestamp":1700429039000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11761-022-00333-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,11]]},"references-count":34,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["333"],"URL":"https:\/\/doi.org\/10.1007\/s11761-022-00333-9","relation":{},"ISSN":["1863-2386","1863-2394"],"issn-type":[{"value":"1863-2386","type":"print"},{"value":"1863-2394","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,11]]},"assertion":[{"value":"29 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}