{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:24:23Z","timestamp":1740108263343,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100015310","name":"Natural Science Foundation of Xinjiang","doi-asserted-by":"publisher","award":["2020D01A35"],"award-info":[{"award-number":["2020D01A35"]}],"id":[{"id":"10.13039\/501100015310","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2018YFC0825504"],"award-info":[{"award-number":["2018YFC0825504"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s00607-022-01134-w","type":"journal-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T08:03:11Z","timestamp":1670572991000},"page":"1247-1270","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["IMDCS:influence maximization with type-diversity by leveraging community structure"],"prefix":"10.1007","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5799-5788","authenticated-orcid":false,"given":"Xiaojie","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wushour","family":"Slamu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abudureheman","family":"Kadeer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sixiu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojing","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"key":"1134_CR1","first-page":"57","volume-title":"Mining the network value of customers","author":"P Domingos","year":"2001","unstructured":"Domingos P, Richardson M (2001) Mining the network value of customers. Association for Computing Machinery, New York, USA, pp 57\u201366"},{"key":"1134_CR2","doi-asserted-by":"crossref","unstructured":"Saleem MA, Kumar R, Calders T, Xie X, Pedersen TB (2017) Location influence in location-based social networks. In: Proceedings of the tenth ACM international conference on web search and data mining WSDM \u201917. Association for Computing Machinery, New York, USA, pp 621\u2013630","DOI":"10.1145\/3018661.3018705"},{"key":"1134_CR3","doi-asserted-by":"crossref","unstructured":"Chen X, Deng L, Zhao Y, Zhou X, Zheng K (2021) Community-based influence maximization in location-based social network. World Wide Web 24(6):1903\u20131928","DOI":"10.1007\/s11280-021-00935-x"},{"key":"1134_CR4","doi-asserted-by":"publisher","first-page":"114207","DOI":"10.1016\/j.eswa.2020.114207","volume":"169","author":"W Li","year":"2021","unstructured":"Li W, Zhong K, Wang J, Chen D (2021) A dynamic algorithm based on cohesive entropy for influence maximization in social networks. Expert Syst Appl 169:114207","journal-title":"Expert Syst Appl"},{"issue":"2","key":"1134_CR5","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s00607-019-00778-5","volume":"102","author":"X Rui","year":"2020","unstructured":"Rui X, Yang X, Fan J, Wang Z (2020) A neighbour scale fixed approach for influence maximization in social networks. Computing 102(2):427\u2013449","journal-title":"Computing"},{"key":"1134_CR6","doi-asserted-by":"crossref","unstructured":"Kempe D, Kleinberg J, Tardos \u00c9 (2003) Maximizing the spread of influence through a social network. In: Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining, pp 137\u2013146","DOI":"10.1145\/956750.956769"},{"key":"1134_CR7","doi-asserted-by":"crossref","unstructured":"Chen W, Wang Y, Yang S (2009) Efficient influence maximization in social networks. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 199\u2013208","DOI":"10.1145\/1557019.1557047"},{"key":"1134_CR8","first-page":"1","volume":"104","author":"S Kumar","year":"2021","unstructured":"Kumar S, Lohia D, Pratap D, Krishna A, Panda B (2021) Mder: modified degree with exclusion ratio algorithm for influence maximisation in social networks. Computing 104:1\u201324","journal-title":"Computing"},{"key":"1134_CR9","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1016\/j.ins.2020.08.093","volume":"546","author":"A Cali\u00f2","year":"2021","unstructured":"Cali\u00f2 A, Tagarelli A (2021) Attribute based diversification of seeds for targeted influence maximization. Inf Sci 546:1273\u20131305","journal-title":"Inf Sci"},{"issue":"8","key":"1134_CR10","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1007\/s00607-018-0659-9","volume":"101","author":"N Samadi","year":"2019","unstructured":"Samadi N, Bouyer A (2019) Identifying influential spreaders based on edge ratio and neighborhood diversity measures in complex networks. Computing 101(8):1147\u20131175","journal-title":"Computing"},{"issue":"1","key":"1134_CR11","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1146\/annurev.soc.27.1.415","volume":"27","author":"M McPherson","year":"2001","unstructured":"McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Ann Rev Sociol 27(1):415\u2013444","journal-title":"Ann Rev Sociol"},{"key":"1134_CR12","doi-asserted-by":"crossref","unstructured":"Leskovec J, Krause A, Guestrin C, Faloutsos C, VanBriesen J, Glance N (2007) Cost-effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining, pp 420\u2013429","DOI":"10.1145\/1281192.1281239"},{"key":"1134_CR13","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1016\/j.ins.2019.10.061","volume":"512","author":"W Ju","year":"2020","unstructured":"Ju W, Chen L, Li B, Liu W, Sheng J, Wang Y (2020) A new algorithm for positive influence maximization in signed networks. Inf Sci 512:1571\u20131591","journal-title":"Inf Sci"},{"issue":"12","key":"1134_CR14","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan M, Newman ME (2002) Community structure in social and biological networks. PNAS 99(12):7821\u20137826","journal-title":"PNAS"},{"issue":"23","key":"1134_CR15","doi-asserted-by":"publisher","first-page":"8577","DOI":"10.1073\/pnas.0601602103","volume":"103","author":"ME Newman","year":"2006","unstructured":"Newman ME (2006) Modularity and community structure in networks. PNAS 103(23):8577\u20138582","journal-title":"PNAS"},{"key":"1134_CR16","doi-asserted-by":"crossref","unstructured":"Wang Y, Cong G, Song G, Xie K (2010) Community-based greedy algorithm for mining top-k influential nodes in mobile social networks. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1039\u20131048","DOI":"10.1145\/1835804.1835935"},{"key":"1134_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2019.01.070","volume":"125","author":"S Banerjee","year":"2019","unstructured":"Banerjee S, Jenamani M, Pratihar DK (2019) Combim: a community-based solution approach for the budgeted influence maximization problem. Expert Syst Appl 125:1\u201313","journal-title":"Expert Syst Appl"},{"key":"1134_CR18","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/j.future.2021.01.025","volume":"118","author":"Z Wang","year":"2021","unstructured":"Wang Z, Sun C, Xi J, Li X (2021) Influence maximization in social graphs based on community structure and node coverage gain. Future Gener Comput Syst 118:327\u2013338","journal-title":"Future Gener Comput Syst"},{"key":"1134_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-03021-x","author":"H Li","year":"2022","unstructured":"Li H, Zhang R, Liu X (2022) An efficient discrete differential evolution algorithm based on community structure for influence maximization. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-021-03021-x","journal-title":"Appl Intell"},{"issue":"6","key":"1134_CR20","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1007\/s10489-018-1387-8","volume":"49","author":"H Huang","year":"2019","unstructured":"Huang H, Shen H, Meng Z, Chang H, He H (2019) Community-based influence maximization for viral marketing. Appl Intell 49(6):2137\u20132150","journal-title":"Appl Intell"},{"key":"1134_CR21","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.knosys.2016.09.029","volume":"117","author":"J Shang","year":"2017","unstructured":"Shang J, Zhou S, Li X, Liu L, Wu H (2017) Cofim: a community-based framework for influence maximization on large-scale networks. Knowl Based Syst 117:88\u2013100","journal-title":"Knowl Based Syst"},{"key":"1134_CR22","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.knosys.2017.07.029","volume":"134","author":"A Bozorgi","year":"2017","unstructured":"Bozorgi A, Samet S, Kwisthout J, Wareham T (2017) Community-based influence maximization in social networks under a competitive linear threshold model. Knowl Based Syst 134:149\u2013158","journal-title":"Knowl Based Syst"},{"key":"1134_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-01760-2","author":"H Ahmadi Beni","year":"2020","unstructured":"Ahmadi Beni H, Bouyer A (2020) Ti-sc: top-k influential nodes selection based on community detection and scoring criteria in social networks. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-020-01760-2","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"11","key":"1134_CR24","doi-asserted-by":"publisher","first-page":"7647","DOI":"10.1007\/s10489-021-02266-w","volume":"51","author":"S Kumar","year":"2021","unstructured":"Kumar S, Singhla L, Jindal K, Grover K, Panda B (2021) Im-elpr: influence maximization in social networks using label propagation based community structure. Appl Intell 51(11):7647\u20137665","journal-title":"Appl Intell"},{"key":"1134_CR25","unstructured":"Yang S, Verma S, Cai B, Jiang J, Yu K, Chen F, Yu S (2021) Variational co-embedding learning for attributed network clustering. arXiv preprint arXiv:2104.07295"},{"key":"1134_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112905","volume":"140","author":"MM Keikha","year":"2020","unstructured":"Keikha MM, Rahgozar M, Asadpour M, Abdollahi MF (2020) Influence maximization across heterogeneous interconnected networks based on deep learning. Expert Syst Appl 140:112905","journal-title":"Expert Syst Appl"},{"key":"1134_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117289","volume":"202","author":"Y Li","year":"2022","unstructured":"Li Y, Li L, Liu Y, Li Q (2022) Mahe-im: multiple aggregation of heterogeneous relation embedding for influence maximization on heterogeneous information network. Expert Syst Appl 202:117289","journal-title":"Expert Syst Appl"},{"key":"1134_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2022.112037","volume":"158","author":"X Wang","year":"2022","unstructured":"Wang X, Slamu W, Guo W, Wang S, Ren Y (2022) A novel semi local measure of identifying influential nodes in complex networks. Chaos Soliton Fractal 158:112037","journal-title":"Chaos Soliton Fractal"},{"key":"1134_CR29","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1016\/j.physa.2018.09.142","volume":"514","author":"SS Singh","year":"2019","unstructured":"Singh SS, Kumar A, Singh K, Biswas B (2019) C2im: Community based context-aware influence maximization in social networks. Phys A Stat Mech Appl 514:796\u2013818","journal-title":"Phys A Stat Mech Appl"},{"key":"1134_CR30","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.knosys.2017.07.029","volume":"134","author":"A Bozorgi","year":"2017","unstructured":"Bozorgi A, Samet S, Kwisthout J, Wareham T (2017) Community-based influence maximization in social networks under a competitive linear threshold model. Knowl Based Syst 134:149\u2013158","journal-title":"Knowl Based Syst"},{"issue":"11","key":"1134_CR31","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1007\/s00607-018-0684-8","volume":"101","author":"K Berahmand","year":"2019","unstructured":"Berahmand K, Bouyer A, Samadi N (2019) A new local and multidimensional ranking measure to detect spreaders in social networks. Computing 101(11):1711\u20131733","journal-title":"Computing"},{"key":"1134_CR32","doi-asserted-by":"crossref","unstructured":"Tang Y, Shi Y, Xiao X (2015) Influence maximization in near-linear time: A martingale approach. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data, pp 1539\u20131554","DOI":"10.1145\/2723372.2723734"},{"issue":"4","key":"1134_CR33","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1007\/s11277-016-3939-8","volume":"93","author":"D-L Nguyen","year":"2017","unstructured":"Nguyen D-L, Nguyen T-H, Do T-H, Yoo M (2017) Probability-based multi-hop diffusion method for influence maximization in social networks. Wirel Pers Commun 93(4):903\u2013916","journal-title":"Wirel Pers Commun"},{"key":"1134_CR34","doi-asserted-by":"crossref","unstructured":"Li G, Chen S, Feng J, Tan K-l, Li W-S (2014) Efficient location-aware influence maximization. In: Proceedings of the 2014 ACM SIGMOD international conference on management of data, pp 87\u201398","DOI":"10.1145\/2588555.2588561"},{"key":"1134_CR35","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1016\/j.physa.2018.09.142","volume":"514","author":"SS Singh","year":"2019","unstructured":"Singh SS, Kumar A, Singh K, Biswas B (2019) C2im: community based context-aware influence maximization in social networks. Phys A Stat Mech Appl 514:796\u2013818","journal-title":"Phys A Stat Mech Appl"},{"key":"1134_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2020.101522","volume":"92","author":"J Li","year":"2020","unstructured":"Li J, Cai T, Deng K, Wang X, Sellis T, Xia F (2020) Community-diversified influence maximization in social networks. Inf Syst 92:101522","journal-title":"Inf Syst"},{"key":"1134_CR37","doi-asserted-by":"crossref","unstructured":"Tang F, Liu Q, Zhu H, Chen E, Zhu F (2014) Diversified social influence maximization. In: 2014 IEEE\/ACM international conference on advances in social networks analysis and mining (ASONAM 2014), IEEE, pp 455\u2013459","DOI":"10.1109\/ASONAM.2014.6921625"},{"key":"1134_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106692","volume":"213","author":"C Wang","year":"2021","unstructured":"Wang C, Shi Q, Xian W, Feng Y, Chen C (2021) Efficient diversified influence maximization with adaptive policies. Knowl Based Syst 213:106692","journal-title":"Knowl Based Syst"},{"issue":"10","key":"1134_CR39","doi-asserted-by":"publisher","first-page":"10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):10008","journal-title":"J Stat Mech Theory Exp"},{"issue":"3","key":"1134_CR40","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.036106","volume":"76","author":"UN Raghavan","year":"2007","unstructured":"Raghavan UN, Albert R, Kumara S (2007) Near linear time algorithm to detect community structures in large-scale networks. Phys Rev E 76(3):036106","journal-title":"Phys Rev E"},{"issue":"2","key":"1134_CR41","doi-asserted-by":"publisher","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(2):026113","journal-title":"Phys Rev E"},{"issue":"2","key":"1134_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2532549","volume":"5","author":"Y-C Chen","year":"2014","unstructured":"Chen Y-C, Zhu W-Y, Peng W-C, Lee W-C, Lee S-Y (2014) Cim: community-based influence maximization in social networks. ACM Trans Intell Syst Technol (TIST) 5(2):1\u201331","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"1134_CR43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-48318-9","volume-title":"Multiple attribute decision making-methods and applications","author":"C-L Hwang","year":"1981","unstructured":"Hwang C-L, Yoon K (1981) Multiple attribute decision making-methods and applications. Springer, New York"},{"key":"1134_CR44","doi-asserted-by":"crossref","unstructured":"Chen W, Wang C, Wang Y (2010) Scalable influence maximization for prevalent viral marketing in large-scale social networks. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1029\u20131038","DOI":"10.1145\/1835804.1835934"},{"key":"1134_CR45","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.68.065103","volume":"68","author":"R Guimer\u00e0","year":"2003","unstructured":"Guimer\u00e0 R, Danon L, D\u00edaz-Guilera A, Giralt F, Arenas A (2003) Self-similar community structure in a network of human interactions. Phys Rev E 68:065103","journal-title":"Phys Rev E"},{"key":"1134_CR46","unstructured":"(2022) Hamsterster full network dataset - konect. http:\/\/konect.cc\/networks\/petster-hamster"},{"issue":"4","key":"1134_CR47","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.046110","volume":"78","author":"A Lancichinetti","year":"2008","unstructured":"Lancichinetti A, Fortunato S, Radicchi F (2008) Benchmark graphs for testing community detection algorithms. Phys Rev E 78(4):046110","journal-title":"Phys Rev E"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01134-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-022-01134-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01134-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T07:32:34Z","timestamp":1683790354000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-022-01134-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,9]]},"references-count":47,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["1134"],"URL":"https:\/\/doi.org\/10.1007\/s00607-022-01134-w","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"type":"print","value":"0010-485X"},{"type":"electronic","value":"1436-5057"}],"subject":[],"published":{"date-parts":[[2022,12,9]]},"assertion":[{"value":"9 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}