{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T11:10:19Z","timestamp":1780485019719,"version":"3.54.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T00:00:00Z","timestamp":1631404800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T00:00:00Z","timestamp":1631404800000},"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":["Prog Artif Intell"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s13748-021-00261-3","type":"journal-article","created":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T13:03:41Z","timestamp":1631451821000},"page":"79-92","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Improving link prediction in social networks using local and global features: a clustering-based approach"],"prefix":"10.1007","volume":"11","author":[{"given":"S.","family":"Ghasemi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Zarei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,9,12]]},"reference":[{"key":"261_CR1","unstructured":"Ahmed, R. A.: The network data repository with interactive graph analytics and visualization. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 4292\u20134293 (2015)"},{"key":"261_CR2","doi-asserted-by":"crossref","unstructured":"Al Hasan, M., Zaki, M.J.: A survey of link prediction in social networks. In: Social Network Data Analytics, pp. 243\u2013275. Springer, Boston (2011)","DOI":"10.1007\/978-1-4419-8462-3_9"},{"issue":"1\u20132","key":"261_CR3","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s13721-012-0005-7","volume":"1","author":"W Almansoori","year":"2012","unstructured":"Almansoori, W., Gao, S., Jarada, T.N., ElSheikh, A.M., Murshed, A.N., Jida, J., et al.: Link prediction and classification in social networks and its application in healthcare and systems biology. Netw. Model. Anal. Health Inform. Bioinform. 1(1\u20132), 27\u201336 (2012)","journal-title":"Netw. Model. Anal. Health Inform. Bioinform."},{"issue":"1","key":"261_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-56847-4","volume":"10","author":"F Aziz","year":"2020","unstructured":"Aziz, F., Gul, H., Uddin, I., Gkoutos, G.V.: Path-based extensions of local link prediction methods for complex networks. Sci. Rep. 10(1), 1\u201311 (2020)","journal-title":"Sci. Rep."},{"key":"261_CR5","unstructured":"Backstrom, L.: Supervised random walks: predicting and recommending links in social networks. In:Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. pp. 635\u2013644. ACM (2007)"},{"issue":"5439","key":"261_CR6","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si, A.L.: Emergence of scaling in random networks. Science 286(5439), 509\u2013512 (1999)","journal-title":"Science"},{"key":"261_CR7","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.swevo.2018.03.001","volume":"44","author":"E Bastami","year":"2019","unstructured":"Bastami, E., Mahabadi, A., Taghizadeh, E.: A gravitation-based link prediction approach in social networks. Swarm Evol. Comput. 44, 176\u2013186 (2019)","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"261_CR8","doi-asserted-by":"publisher","first-page":"e0154244","DOI":"10.1371\/journal.pone.0154244","volume":"11","author":"G Berlusconi","year":"2016","unstructured":"Berlusconi, G., Calderoni, F., Parolini, N., Verani, M., Piccardi, C.: Link prediction in criminal networks: A tool for criminal intelligence analysis. PLoS ONE 11(4), e0154244 (2016)","journal-title":"PLoS ONE"},{"issue":"5","key":"261_CR9","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1016\/j.jocs.2014.01.003","volume":"5","author":"CA Bliss","year":"2014","unstructured":"Bliss, C.A.: An evolutionary algorithm approach to link prediction in dynamic social networks. J. Comput. Sci. 5(5), 750\u2013764 (2014)","journal-title":"J. Comput. Sci."},{"key":"261_CR10","doi-asserted-by":"crossref","unstructured":"Buchegger, S., Datta, A.: A case for P2P infrastructure for social networks-opportunities & challenges. In: Sixth International Conference on Wireless On-Demand Network Systems and Services, pp. 161\u2013168. IEEE (2009)","DOI":"10.1109\/WONS.2009.4801862"},{"key":"261_CR11","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1146\/annurev-psych-113011-143828","volume":"64","author":"RS Burt","year":"2013","unstructured":"Burt, R.S.: Social network analysis: foundations and frontiers on advantage. Annu. Rev. Psychol. 64, 527\u2013547 (2013)","journal-title":"Annu. Rev. Psychol."},{"key":"261_CR12","unstructured":"Cai, S.: Balance between complexity and quality: Local search for minimum vertex cover in massive graphs. In: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI, pp. 25\u201331 (2015)"},{"key":"261_CR13","doi-asserted-by":"publisher","first-page":"113666","DOI":"10.1016\/j.eswa.2020.113666","volume":"161","author":"F Calderoni","year":"2020","unstructured":"Calderoni, F., Catanese, S., Meo, P.D., Ficara, A., Fiumara, G.: Robust link prediction in criminal networks: A case study of the Sicilian Mafia. Expert Syst. Appl. 161, 113666 (2020)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"261_CR14","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/s10489-014-0558-5","volume":"41","author":"B Chen","year":"2014","unstructured":"Chen, B., a. : A link prediction algorithm based on ant colony optimization. Appl. Intell. 41(3), 694\u2013708 (2014)","journal-title":"Appl. Intell."},{"key":"261_CR15","doi-asserted-by":"crossref","unstructured":"Cho, E.M.: Friendship and mobility: user movement in location-based social networks. In:Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1082\u20131090. ACM (2011)","DOI":"10.1145\/2020408.2020579"},{"key":"261_CR16","doi-asserted-by":"crossref","unstructured":"Dong, Y., Ke, Q., Wang, B., Wu, B.: Link prediction based on local information. In: 2011 International Conference on Advances in Social Networks Analysis and Mining, pp. 382\u2013386. IEEE (2011).","DOI":"10.1109\/ASONAM.2011.43"},{"issue":"11","key":"261_CR17","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/TKDE.2017.2730207","volume":"29","author":"L Duan","year":"2017","unstructured":"Duan, L., Ma, S., Aggarwal, C., Ma, T., Huai, J.: An ensemble approach to link prediction. IEEE Trans. Knowl. Data Eng. 29(11), 2402\u20132416 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"261_CR18","doi-asserted-by":"crossref","unstructured":"Gaudelet, T., Day, B., Jamasb, A. R., Soman, J., Regep, C., Liu, G., et al.: Utilising Graph Machine Learning within Drug Discovery and Development (2020). arXiv:2012.05716.","DOI":"10.1093\/bib\/bbab159"},{"issue":"2","key":"261_CR19","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1007\/s10489-018-1284-1","volume":"49","author":"S Gu","year":"2019","unstructured":"Gu, S., Chen, L., Li, B., Liu, W., Chen, B.: Link prediction on signed social networks based on latent space mapping. Appl. Intell. 49(2), 703\u2013722 (2019)","journal-title":"Appl. Intell."},{"issue":"3","key":"261_CR20","doi-asserted-by":"publisher","first-page":"1961","DOI":"10.1007\/s10462-017-9590-2","volume":"52","author":"S Haghani","year":"2019","unstructured":"Haghani, S., Keyvanpour, M.R.: A systemic analysis of link prediction in social network. Artif. Intell. Rev. 52(3), 1961\u20131995 (2019)","journal-title":"Artif. Intell. Rev."},{"issue":"1","key":"261_CR21","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"261_CR22","doi-asserted-by":"crossref","unstructured":"Hong, L. A. (2012). Discovering geographical topics in the twitter stream. In: Proceedings of the 21st International Conference on World Wide Web, pp. 769\u2013778. ACM.","DOI":"10.1145\/2187836.2187940"},{"issue":"4","key":"261_CR23","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/1391729.1391730","volume":"40","author":"IF Ilyas","year":"2008","unstructured":"Ilyas, I.F.: A survey of top-k query processing techniques in relational database systems. ACM Comput. Surv. (CSUR) 40(4), 11 (2008)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"261_CR24","doi-asserted-by":"crossref","unstructured":"Islam, M. K., Aridhi, S., & Smail-Tabbone, M.: A comparative study of similarity-based and GNN-based link prediction approaches (2020). arXiv:2008.08879.","DOI":"10.5121\/csit.2021.111106"},{"key":"261_CR25","unstructured":"K\u00e9gl, B.: The return of AdaBoost. MH: multi-class Hamming trees (2013). arXiv preprint arXiv."},{"issue":"3","key":"261_CR26","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1007\/s11192-016-1926-1","volume":"107","author":"P Klimek","year":"2016","unstructured":"Klimek, P., Jovanovic, A.S., Egloff, R., Schneider, R.: Successful fish go with the flow: citation impact prediction based on centrality measures for term\u2013document networks. Scientometrics 107(3), 1265\u20131282 (2016)","journal-title":"Scientometrics"},{"key":"261_CR27","unstructured":"Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: IJCAI, pp. 1137\u20131145 (1995)"},{"issue":"3","key":"261_CR28","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.socnet.2005.07.002","volume":"28","author":"G Kossinets","year":"2006","unstructured":"Kossinets, G.: Effects of missing data in social networks. Social networks 28(3), 247\u2013268 (2006)","journal-title":"Social networks"},{"key":"261_CR29","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.procs.2014.05.339","volume":"31","author":"J Li","year":"2014","unstructured":"Li, J., Zhang, L., Meng, F., Li, F.: Recommendation algorithm based on link prediction and domain knowledge in retail transactions. Procedia Computer Science 31, 875\u2013881 (2014)","journal-title":"Procedia Computer Science"},{"issue":"7","key":"261_CR30","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1002\/asi.20591","volume":"58","author":"D Liben-Nowell","year":"2007","unstructured":"Liben-Nowell, D., Kleinberg, J.: The link-prediction problem for social networks. J. Am. Soc. Inform. Sci. Technol. 58(7), 1019\u20131031 (2007)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"key":"261_CR31","doi-asserted-by":"crossref","unstructured":"Lichtenwalter, R.N., Lussier, J.T., Chawla, N.V.: New perspectives and methods in link prediction. In:Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 243\u2013252. ACM (2010)","DOI":"10.1145\/1835804.1835837"},{"key":"261_CR32","doi-asserted-by":"publisher","first-page":"184797","DOI":"10.1109\/ACCESS.2019.2958873","volume":"7","author":"M Lim","year":"2019","unstructured":"Lim, M., Abdullah, A., Jhanjhi, N.Z., Khan, M.K., Supramaniam, M.: Link prediction in time-evolving criminal network with deep reinforcement learning technique. IEEE Access. 7, 184797\u2013184807 (2019)","journal-title":"IEEE Access."},{"key":"261_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2012.02.006","volume":"516","author":"LM L\u00fc","year":"2012","unstructured":"L\u00fc, L.M.: Recommender systems. Phys. Rep. 516, 1\u201349 (2012)","journal-title":"Phys. Rep."},{"issue":"6","key":"261_CR34","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","volume":"390","author":"L L\u00fc","year":"2011","unstructured":"L\u00fc, L., Zhou, T.: Link prediction in complex networks: a survey. Physica A 390(6), 1150\u20131170 (2011)","journal-title":"Physica A"},{"issue":"4","key":"261_CR35","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/3012704","volume":"49","author":"V Mart\u00ednez","year":"2017","unstructured":"Mart\u00ednez, V., Berzal, F., Cubero, J.-C.: A survey of link prediction in complex networks. ACM Comput. Surv. (CSUR) 49(4), 69 (2017)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"261_CR36","unstructured":"Mutlu, E.C., Oghaz, T.A.: Review on graph feature learning and feature extraction techniques for link prediction (2019). arXiv:1901.03425."},{"issue":"4","key":"261_CR37","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s13748-018-0160-x","volume":"7","author":"Y Nechaev","year":"2018","unstructured":"Nechaev, Y., Corcoglioniti, F., Giuliano, C.: SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles. Prog. Artif. Intell. 7(4), 251\u2013272 (2018)","journal-title":"Prog. Artif. Intell."},{"issue":"14","key":"261_CR38","doi-asserted-by":"publisher","first-page":"2849","DOI":"10.1016\/j.physa.2010.03.006","volume":"389","author":"Y Pan","year":"2010","unstructured":"Pan, Y., Li, D.-H., Liu, J.-G., Liang, J.-Z.: Detecting community structure in complex networks via node similarity. Physica A 389(14), 2849\u20132857 (2010)","journal-title":"Physica A"},{"issue":"1","key":"261_CR39","first-page":"1","volume":"58","author":"W Peng","year":"2015","unstructured":"Peng, W., BaoWen, X., YuRong, W., XiaoYu, Z.: Link prediction in social networks: the state-of-the-art. Sci. China Inf. Sci. 58(1), 1\u201338 (2015)","journal-title":"Sci. China Inf. Sci."},{"key":"261_CR40","unstructured":"Pittala, S., Koehler, W., Deans, J., Salinas, D., Bringmann, M., Volz, K. S., et al.: Relation-weighted link prediction for disease gene identification (2020). preprint arXiv, 2011.05138 arXiv:2011.05138."},{"key":"261_CR41","doi-asserted-by":"crossref","unstructured":"Raut, P., Khandelwal, H., & Vyas, G.: A comparative study of classification algorithms for link prediction. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE","DOI":"10.1109\/ICIMIA48430.2020.9074840"},{"issue":"2","key":"261_CR42","doi-asserted-by":"publisher","first-page":"239","DOI":"10.12785\/ijcds\/090209","volume":"9","author":"S, H., & Sadasivam G, S.","year":"2020","unstructured":"S, H., & Sadasivam G, S. : A review of similarity measures and link prediction models in social networks. Int. J. Comput. Digital Syst. 9(2), 239\u2013248 (2020)","journal-title":"Int. J. Comput. Digital Syst."},{"key":"261_CR43","doi-asserted-by":"crossref","unstructured":"Samad, A., Qadir, M., Nawaz, I.: Sam: a similarity measure for link prediction in social network. In: 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), pp. 1\u20139. IEEE","DOI":"10.1109\/MACS48846.2019.9024762"},{"key":"261_CR44","doi-asserted-by":"crossref","unstructured":"Samad, A., Qadir, M., Nawaz, I., Islam, M.A., Aleem, M.: A comprehensive survey of link prediction techniques for social network. In: EAI Endorsed Transactions Industrial Networks and Intelligent Systems 7, no. 23 (2020)","DOI":"10.4108\/eai.13-7-2018.163988"},{"key":"261_CR45","unstructured":"Sarkar, P.C. (2011). Theoretical justification of popular link prediction heuristics. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol 22, no. 3, p. 2722"},{"key":"261_CR46","doi-asserted-by":"crossref","unstructured":"Sengupta, D.S.: GraphReduce: processing large-scale graphs on accelerator-based systems. In:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, p. 28. ACM (2015)","DOI":"10.1145\/2807591.2807655"},{"key":"261_CR47","doi-asserted-by":"crossref","unstructured":"Sharma, R., Datta, A., DeH'Amico, M., Michiardi, P.: An empirical study of availability in friend-to-friend storage systems. In: 2011 IEEE International Conference on Peer-to-Peer Computing (pp. 348\u2013351). IEEE.","DOI":"10.1109\/P2P.2011.6038754"},{"key":"261_CR48","doi-asserted-by":"crossref","unstructured":"Sharma, U., Minocha, B. (2016). Link prediction in social networks: a similarity score based neural network approach. In:Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, pp. 1\u20135. ACM","DOI":"10.1145\/2905055.2905149"},{"key":"261_CR49","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.physa.2014.10.011","volume":"419","author":"EM Sherkat","year":"2015","unstructured":"Sherkat, E.M.: Structural link prediction based on ant colony approach in social networks. Physica A 419, 80\u201394 (2015)","journal-title":"Physica A"},{"key":"261_CR50","doi-asserted-by":"crossref","unstructured":"Silva, N.B., Tsang, R., Cavalcanti, G.D., Tsang, J.: A graph-based friend recommendation system using genetic algorithm. In: IEEE Congress on Evolutionary Computation, pp. 1\u20137. IEEE (2010)","DOI":"10.1109\/CEC.2010.5586144"},{"issue":"1","key":"261_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-016-0028-x","volume":"7","author":"Z Stanfield","year":"2017","unstructured":"Stanfield, Z., Co\u015fkun, M., Koyut\u00fcrk, M.: Drug response prediction as a link prediction problem. Sci. Rep. 7(1), 1\u201313 (2017)","journal-title":"Sci. Rep."},{"key":"261_CR52","unstructured":"Symeonidis, P., Tiakas, E., Manolopoulos, Y.: Transitive node similarity for link prediction in social networks with positive and negative links. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 183\u2013190. ACM"},{"key":"261_CR53","doi-asserted-by":"crossref","unstructured":"Turki, T., Wang, J.T. (2015). A new approach to link prediction in gene regulatory networks. In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 404\u2013415. Springer, Cham","DOI":"10.1007\/978-3-319-24834-9_47"},{"issue":"1","key":"261_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X Wu","year":"2008","unstructured":"Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., et al.: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1), 1\u201337 (2008)","journal-title":"Knowl. Inf. Syst."},{"key":"261_CR55","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.knosys.2015.02.013","volume":"81","author":"F Xie","year":"2015","unstructured":"Xie, F., Chen, Z., Shang, J., Feng, X., Li, J.: A link prediction approach for item recommendation with complex number. Knowl.-Based Syst. 81, 148\u2013158 (2015)","journal-title":"Knowl.-Based Syst."},{"key":"261_CR56","doi-asserted-by":"crossref","unstructured":"Yaghi, R.I., Faris, H., Aljarah, I., Ala\u2019M, A.-Z., Heidari, A.A., & Mirjalili, S. (2020). Link prediction using evolutionary neural network models. In: Evolutionary Machine Learning Techniques, pp. 85\u2013111","DOI":"10.1007\/978-981-32-9990-0_6"},{"key":"261_CR57","doi-asserted-by":"crossref","unstructured":"Yuan, H., Ma, Y., Zhang, F., Liu, M., & Shen, W.: A distributed link prediction algorithm based on clustering in dynamic social networks. In: Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference, pp. 1341\u20131345. IEEE (2015)","DOI":"10.1109\/SMC.2015.238"},{"key":"261_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.inffus.2018.04.004","volume":"46","author":"W Yuan","year":"2019","unstructured":"Yuan, W., He, K., Guan, D., Zhou, L., Li, C.: Graph kernel based link prediction for signed social networks. Inf. Fusion 46, 1\u201310 (2019)","journal-title":"Inf. Fusion"},{"issue":"3","key":"261_CR59","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s13748-019-00181-3","volume":"8","author":"C Zarco","year":"2019","unstructured":"Zarco, C., Santos, E., Cord\u00f3n, O.: Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies. Prog. Artif. Intell. 8(3), 307\u2013323 (2019)","journal-title":"Prog. Artif. Intell."},{"key":"261_CR60","unstructured":"Zhang, M., Chen, Y.: Link prediction based on graph neural networks (2018). arXiv:1802.09691."},{"key":"261_CR61","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.knosys.2011.07.017","volume":"26","author":"Z Zhao","year":"2012","unstructured":"Zhao, Z., Feng, S., Wang, Q., Huang, J.Z., Williams, G.J., Fan, J.: Topic oriented community detection through social objects and link analysis in social networks. Knowl.-Based Syst. 26, 164\u2013173 (2012)","journal-title":"Knowl.-Based Syst."},{"issue":"4","key":"261_CR62","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1140\/epjb\/e2009-00335-8","volume":"71","author":"T Zhou","year":"2009","unstructured":"Zhou, T., L\u00fc, L., Zhang, Y.-C.: Predicting missing links via local information. The European Physical Journal B 71(4), 623\u2013630 (2009)","journal-title":"The European Physical Journal B"},{"key":"261_CR63","unstructured":"Zhu, C., Li, J., Somasundaram, S.: Global Link Prediction for E-commerce using Deep Networks (2019). Retrieved from snap.stanford.edu"}],"container-title":["Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-021-00261-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13748-021-00261-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-021-00261-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T16:19:17Z","timestamp":1645201157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13748-021-00261-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,12]]},"references-count":63,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["261"],"URL":"https:\/\/doi.org\/10.1007\/s13748-021-00261-3","relation":{},"ISSN":["2192-6352","2192-6360"],"issn-type":[{"value":"2192-6352","type":"print"},{"value":"2192-6360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,12]]},"assertion":[{"value":"23 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}