{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T19:44:50Z","timestamp":1784922290337,"version":"3.55.0"},"reference-count":71,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T00:00:00Z","timestamp":1595462400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T00:00:00Z","timestamp":1595462400000},"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":["Soc. Netw. Anal. Min."],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s13278-020-00658-3","type":"journal-article","created":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T06:58:11Z","timestamp":1595487491000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Feature selection methods for event detection in Twitter: a text mining approach"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5178-9211","authenticated-orcid":false,"given":"Ahmad Hany","family":"Hossny","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lewis","family":"Mitchell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nick","family":"Lothian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grant","family":"Osborne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,7,23]]},"reference":[{"issue":"12","key":"658_CR1","doi-asserted-by":"publisher","first-page":"1326","DOI":"10.14778\/2536274.2536307","volume":"6","author":"H Abdelhaq","year":"2013","unstructured":"Abdelhaq H, Sengstock C, Gertz M (2013) Eventweet: online localized event detection from twitter. Proc VLDB Endow 6(12):1326\u20131329","journal-title":"Proc VLDB Endow"},{"key":"658_CR2","unstructured":"Allahyari M, Pouriyeh S, Assefi M, Safaei S, Trippe ED, Gutierrez JB, Kochut K (2017) A brief survey of text mining: Classification, clustering and extraction techniques. arXiv preprint arXiv:1707.02919"},{"key":"658_CR3","doi-asserted-by":"crossref","unstructured":"Ayache A, Cohen S, V\u00e9hel JL (2000) The covariance structure of multifractional brownian motion, with application to long range dependence. In: Acoustics, speech, and signal processing, 2000. ICASSP\u201900. Proceedings. 2000 IEEE international conference on, vol 6, pp. 3810\u20133813. IEEE","DOI":"10.1109\/ICASSP.2000.860233"},{"key":"658_CR4","doi-asserted-by":"crossref","unstructured":"Azzam A, Tazi N, Hossny A (2017) A question routing technique using deep neural network for communities of question answering. In: International conference on database systems for advanced applications. Springer, pp 35\u201349","DOI":"10.1007\/978-3-319-55753-3_3"},{"key":"658_CR5","doi-asserted-by":"crossref","unstructured":"Baker LD, McCallum AK (1998) Distributional clustering of words for text classification. In: Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 96\u2013103","DOI":"10.1145\/290941.290970"},{"key":"658_CR6","doi-asserted-by":"crossref","unstructured":"Benesty J, Chen J, Huang Y, Cohen I (2009) Pearson correlation coefficient. In: Noise reduction in speech processing, Springer, pp 1\u20134","DOI":"10.1007\/978-3-642-00296-0_5"},{"key":"658_CR7","doi-asserted-by":"crossref","unstructured":"Blumenstock JE (2008) Size matters: word count as a measure of quality on wikipedia. In: Proceedings of the 17th international conference on World wide web. ACM, pp 1095\u20131096","DOI":"10.1145\/1367497.1367673"},{"key":"658_CR8","unstructured":"Carley KM (2003) Dynamic network analysis. na"},{"key":"658_CR9","doi-asserted-by":"crossref","unstructured":"Cataldi M, Di\u00a0Caro L, Schifanella C (2010) Emerging topic detection on twitter based on temporal and social terms evaluation. In: Proceedings of the tenth international workshop on multimedia data mining, ACM, p 4","DOI":"10.1145\/1814245.1814249"},{"issue":"4","key":"658_CR10","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1075\/ijcl.11.4.04che","volume":"11","author":"W Cheng","year":"2006","unstructured":"Cheng W, Greaves C, Warren M (2006) From n-gram to skipgram to concgram. Int J Corpus Linguistics 11(4):411\u2013433","journal-title":"Int J Corpus Linguistics"},{"issue":"1","key":"658_CR11","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1109\/TASL.2007.909452","volume":"16","author":"JT Chien","year":"2007","unstructured":"Chien JT, Wu MS (2007) Adaptive Bayesian latent semantic analysis. IEEE Trans Audio Speech Lang Process 16(1):198\u2013207","journal-title":"IEEE Trans Audio Speech Lang Process"},{"issue":"1","key":"658_CR12","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church KW, Hanks P (1990) Word association norms, mutual information, and lexicography. Comput Linguistics 16(1):22\u201329","journal-title":"Comput Linguistics"},{"key":"658_CR13","unstructured":"Cordeiro M (2012) Twitter event detection: combining wavelet analysis and topic inference summarization. In: Doctoral symposium on informatics engineering, pp 11\u201316"},{"key":"658_CR14","doi-asserted-by":"crossref","unstructured":"Crandall D, Cosley D, Huttenlocher D, Kleinberg J, Suri S (2008) Feedback effects between similarity and social influence in online communities. In: Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, ACM , pp 160\u2013168","DOI":"10.1145\/1401890.1401914"},{"key":"658_CR15","doi-asserted-by":"crossref","unstructured":"Danowski JA, Cepela N (2010) Automatic mapping of social networks of actors from text corpora: time series analysis. In: Data mining for social network data, Springer, pp 31\u201346","DOI":"10.1007\/978-1-4419-6287-4_3"},{"key":"658_CR16","unstructured":"D\u2019hondt E, Verberne S, Weber N, Koster C, Boves L (2012) Using skipgrams and POS-based feature selection for patent classification"},{"key":"658_CR17","unstructured":"Diesner J, Carley KM (2004) Using network text analysis to detect the organizational structure of covert networks. In: Proceedings of the North American association for computational social and organizational science (NAACSOS) conference, vol 3. NAACSOS"},{"issue":"12","key":"658_CR18","doi-asserted-by":"publisher","first-page":"e26752","DOI":"10.1371\/journal.pone.0026752","volume":"6","author":"PS Dodds","year":"2011","unstructured":"Dodds PS, Harris KD, Kloumann IM, Bliss CA, Danforth CM (2011) Temporal patterns of happiness and information in a global social network: hedonometrics and twitter. PloS ONE 6(12):e26752","journal-title":"PloS ONE"},{"key":"658_CR19","unstructured":"Dubey VK, Saxena AK (2016) Cosine similarity based filter technique for feature selection. In: Control, computing, communication and materials (ICCCCM), 2016 international conference on, IEEE, pp 1\u20136"},{"key":"658_CR20","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez J, Guti\u00e9rrez Y, Soriano JMG, Mart\u00ednez-Barco P (2014) Gplsi: Supervised sentiment analysis in twitter using skipgrams. In: SemEval@ COLING, pp 294\u2013299","DOI":"10.3115\/v1\/S14-2048"},{"issue":"Mar","key":"658_CR21","first-page":"1289","volume":"3","author":"G Forman","year":"2003","unstructured":"Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3(Mar):1289\u20131305","journal-title":"J Mach Learn Res"},{"issue":"2","key":"658_CR22","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1103\/PhysRevA.33.1134","volume":"33","author":"AM Fraser","year":"1986","unstructured":"Fraser AM, Swinney HL (1986) Independent coordinates for strange attractors from mutual information. Phys Rev A 33(2):1134","journal-title":"Phys Rev A"},{"key":"658_CR23","unstructured":"Fung GPC, Yu JX, Yu PS, Lu H (2005) Parameter free bursty events detection in text streams. In: Proceedings of the 31st international conference on very large data bases, VLDB Endowment, pp 181\u2013192"},{"key":"658_CR24","unstructured":"Guthrie D, Allison B, Liu W, Guthrie L, Wilks Y (2006) A closer look at skip-gram modelling. In: Proceedings of the 5th international conference on language resources and evaluation (LREC-2006), sn, pp 1\u20134"},{"key":"658_CR25","doi-asserted-by":"crossref","unstructured":"Guzman J, Poblete B (2013) On-line relevant anomaly detection in the twitter stream: an efficient bursty keyword detection model. In: Proceedings of the ACM SIGKDD workshop on outlier detection and description, ACM, pp 31\u201339","DOI":"10.1145\/2500853.2500860"},{"issue":"2","key":"658_CR26","doi-asserted-by":"publisher","first-page":"87","DOI":"10.2478\/v10117-011-0021-1","volume":"30","author":"J Hauke","year":"2011","unstructured":"Hauke J, Kossowski T (2011) Comparison of values of pearson\u2019s and spearman\u2019s correlation coefficients on the same sets of data. Quaest Geogr 30(2):87","journal-title":"Quaest Geogr"},{"issue":"3-suppl","key":"658_CR27","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.2466\/pms.1976.43.3f.1319","volume":"43","author":"LL Havlicek","year":"1976","unstructured":"Havlicek LL, Peterson NL (1976) Robustness of the pearson correlation against violations of assumptions. Percept Mot Skills 43(3-suppl):1319\u20131334","journal-title":"Percept Mot Skills"},{"key":"658_CR28","series-title":"Encyclopedia of mathematics","volume-title":"Orthogonalization","author":"M Hazewinkel","year":"2001","unstructured":"Hazewinkel M (2001) Orthogonalization. Encyclopedia of mathematics. Kluwer Academic Publishers, 2002, Dordrecht"},{"issue":"1","key":"658_CR29","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/s13278-020-0625-3","volume":"10","author":"IU Hewapathirana","year":"2020","unstructured":"Hewapathirana IU, Lee D, Moltchanova E, McLeod J (2020) Change detection in noisy dynamic networks: a spectral embedding approach. Soc Netw Anal Mining 10(1):14","journal-title":"Soc Netw Anal Mining"},{"key":"658_CR30","unstructured":"Hossny A, Shaalan K, Fahmy A (2008) Automatic morphological rule induction for arabic. In: Proceedings of the workshop on human language translation and natural language processing within the arabic world (LREC08), pp 97\u2013101"},{"key":"658_CR31","doi-asserted-by":"crossref","unstructured":"Hossny A, Shaalan K, Fahmy A (2009) Machine translation model using inductive logic programming. In: 2009 International conference on natural language processing and knowledge engineering, IEEE, pp 1\u20138","DOI":"10.1109\/NLPKE.2009.5313850"},{"issue":"1","key":"658_CR32","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s13278-018-0519-9","volume":"8","author":"AH Hossny","year":"2018","unstructured":"Hossny AH, Moschuo T, Osborne G, Mitchell L, Lothian N (2018) Enhancing keyword correlation for event detection in social networks using svd and k-means: twitter case study. Soc Netw Anal Min 8(1):49","journal-title":"Soc Netw Anal Min"},{"issue":"1","key":"658_CR33","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s13278-019-0604-8","volume":"9","author":"T Khafaei","year":"2019","unstructured":"Khafaei T, Taraghi AT, Hosseinzadeh M, Rezaee A (2019) Tracing temporal communities and event prediction in dynamic social networks. Soc Netw Anal Min 9(1):59","journal-title":"Soc Netw Anal Min"},{"issue":"4","key":"658_CR34","doi-asserted-by":"publisher","first-page":"4432","DOI":"10.1016\/j.eswa.2011.09.147.","volume":"39","author":"C Kim","year":"2012","unstructured":"Kim C, Park S, Kwon K, Chang W (2012) An empirical study of the structure of relevant keywords in a search engine using the minimum spanning tree. Expert Syst Appl 39(4):4432\u20134443. https:\/\/doi.org\/10.1016\/j.eswa.2011.09.147. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417411014709","journal-title":"Expert Syst Appl"},{"key":"658_CR35","unstructured":"Koyejo OO, Natarajan N, Ravikumar PK, Dhillon IS (2014) Consistent binary classification with generalized performance metrics. In: Advances in neural information processing systems, pp 2744\u20132752"},{"issue":"284","key":"658_CR36","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1080\/01621459.1958.10501481","volume":"53","author":"WH Kruskal","year":"1958","unstructured":"Kruskal WH (1958) Ordinal measures of association. J Am Stat Assoc 53(284):814\u2013861","journal-title":"J Am Stat Assoc"},{"key":"658_CR37","doi-asserted-by":"crossref","unstructured":"Kurihara K, Sato T (2006) Variational Bayesian grammar induction for natural language. In: International colloquium on grammatical inference, Springer, pp 84\u201396","DOI":"10.1007\/11872436_8"},{"issue":"4","key":"658_CR38","first-page":"72","volume":"3","author":"V Lampos","year":"2012","unstructured":"Lampos V, Cristianini N (2012) Nowcasting events from the social web with statistical learning. ACM Trans Intell Syst Technol (TIST) 3(4):72","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"658_CR39","doi-asserted-by":"publisher","DOI":"10.1002\/0470018860.s00561","volume-title":"Latent semantic analysis","author":"TK Landauer","year":"2006","unstructured":"Landauer TK (2006) Latent semantic analysis. Wiley Online Library, New Jersey"},{"key":"658_CR40","doi-asserted-by":"crossref","unstructured":"Lawrence I, Lin K (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics pp 255\u2013268","DOI":"10.2307\/2532051"},{"key":"658_CR41","first-page":"302","volume":"2","author":"O Levy","year":"2014","unstructured":"Levy O, Goldberg Y (2014) Dependency-based word embeddings. ACL 2:302\u2013308","journal-title":"ACL"},{"key":"658_CR42","doi-asserted-by":"crossref","unstructured":"Li R, Lei KH, Khadiwala R, Chang KCC (2012) Tedas: a twitter-based event detection and analysis system. In: Data engineering (ICDE), 2012 IEEE 28th international conference on, IEEE, pp 1273\u20131276","DOI":"10.1109\/ICDE.2012.125"},{"issue":"499","key":"658_CR43","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1080\/01621459.2012.695654","volume":"107","author":"R Li","year":"2012","unstructured":"Li R, Zhong W, Zhu L (2012) Feature screening via distance correlation learning. J Am Stat Assoc 107(499):1129\u20131139","journal-title":"J Am Stat Assoc"},{"key":"658_CR44","doi-asserted-by":"publisher","unstructured":"Loper E, Bird S (2002) NLTK: The natural language toolkit. In: Proceedings of the ACL-02 workshop on effective tools and methodologies for teaching natural language processing and computational linguistics\u2014vol 1, ETMTNLP \u201902. Association for computational linguistics, Stroudsburg, PA, USA, pp 63\u201370. https:\/\/doi.org\/10.3115\/1118108.1118117","DOI":"10.3115\/1118108.1118117"},{"key":"658_CR45","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.jml.2016.04.001","volume":"92","author":"P Mandera","year":"2017","unstructured":"Mandera P, Keuleers E, Brysbaert M (2017) Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: a review and empirical validation. J Mem Lang 92:57\u201378","journal-title":"J Mem Lang"},{"key":"658_CR46","doi-asserted-by":"publisher","unstructured":"Mathioudakis M, Koudas N (2010) Twittermonitor: trend detection over the twitter stream. In: Proceedings of the 2010 ACM SIGMOD International conference on management of data, SIGMOD \u201910, ACM, Indianapolis, Indiana, USA pp 1155\u20131158 https:\/\/doi.org\/10.1145\/1807167.1807306","DOI":"10.1145\/1807167.1807306"},{"issue":"4","key":"658_CR47","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.websem.2007.09.002","volume":"5","author":"Y Matsuo","year":"2007","unstructured":"Matsuo Y, Mori J, Hamasaki M, Nishimura T, Takeda H, Hasida K, Ishizuka M (2007) Polyphonet: an advanced social network extraction system from the web. Web Semant Sci Serv Agents World Wide Web 5(4):262\u2013278","journal-title":"Web Semant Sci Serv Agents World Wide Web"},{"key":"658_CR48","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781"},{"key":"658_CR49","doi-asserted-by":"crossref","unstructured":"Myers L, Sirois MJ (2006) Spearman correlation coefficients, differences between. Wiley StatsRef, Statistics Reference Online","DOI":"10.1002\/0471667196.ess5050.pub2"},{"key":"658_CR50","unstructured":"Nasution MK, Noah SAM, Saad S (2016) Social network extraction: superficial method and information retrieval. arXiv preprint arXiv:1601.02904"},{"key":"658_CR51","unstructured":"Niwattanakul S, Singthongchai J, Naenudorn E, Wanapu S (2013) Using of jaccard coefficient for keywords similarity. In: Proceedings of the international multiconference of engineers and computer scientists, vol 1"},{"key":"658_CR52","doi-asserted-by":"crossref","unstructured":"Pennacchiotti M, Gurumurthy S (2011) Investigating topic models for social media user recommendation. In: Proceedings of the 20th international conference companion on World wide web, ACM, pp 101\u2013102","DOI":"10.1145\/1963192.1963244"},{"key":"658_CR53","unstructured":"Petrovi\u0107 S, Osborne M, Lavrenko V (2010) Streaming first story detection with application to twitter. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics, HLT \u201910 . Association for computational linguistics, Stroudsburg, PA, USA, pp 181\u2013189 . http:\/\/dl.acm.org\/citation.cfm?id=1857999.1858020"},{"key":"658_CR54","doi-asserted-by":"crossref","unstructured":"Popescu AM, Pennacchiotti M (2010) Detecting controversial events from twitter. In: Proceedings of the 19th ACM international conference on Information and knowledge management, ACM, pp 1873\u20131876.","DOI":"10.1145\/1871437.1871751"},{"key":"658_CR55","doi-asserted-by":"crossref","unstructured":"Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web, ACM, pp 851\u2013860","DOI":"10.1145\/1772690.1772777"},{"key":"658_CR56","doi-asserted-by":"crossref","unstructured":"Sayyadi H, Hurst M, Maykov A (2009) Event detection and tracking in social streams. In: ICWSM","DOI":"10.1609\/icwsm.v3i1.13970"},{"key":"658_CR57","first-page":"1428","volume":"2015","author":"N Shazeer","year":"2015","unstructured":"Shazeer N, Pelemans J, Chelba C (2015) Sparse non-negative matrix language modeling for skip-grams. Proc Interspeech 2015:1428\u20131432","journal-title":"Proc Interspeech"},{"issue":"4","key":"658_CR58","first-page":"35","volume":"24","author":"A Singhal","year":"2001","unstructured":"Singhal A (2001) Modern information retrieval: a brief overview. IEEE Data Eng Bull 24(4):35\u201343","journal-title":"IEEE Data Eng Bull"},{"issue":"6","key":"658_CR59","doi-asserted-by":"publisher","first-page":"2769","DOI":"10.1214\/009053607000000505","volume":"35","author":"GJ Sz\u00e9kely","year":"2007","unstructured":"Sz\u00e9kely GJ, Rizzo ML, Bakirov NK et al (2007) Measuring and testing dependence by correlation of distances. Ann Stat 35(6):2769\u20132794","journal-title":"Ann Stat"},{"issue":"4","key":"658_CR60","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1214\/09-AOAS312","volume":"3","author":"GJ Sz\u00e9kely","year":"2009","unstructured":"Sz\u00e9kely GJ, Rizzo ML et al (2009) Brownian distance covariance. Ann Appl Stat 3(4):1236\u20131265","journal-title":"Ann Appl Stat"},{"issue":"2","key":"658_CR61","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1002\/asi.21462","volume":"62","author":"M Thelwall","year":"2011","unstructured":"Thelwall M, Buckley K, Paltoglou G (2011) Sentiment in twitter events. J Assoc Inform Sci Technol 62(2):406\u2013418","journal-title":"J Assoc Inform Sci Technol"},{"issue":"5","key":"658_CR62","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1007\/s11280-014-0291-3","volume":"18","author":"S Unankard","year":"2015","unstructured":"Unankard S, Li X, Sharaf MA (2015) Emerging event detection in social networks with location sensitivity. World Wide Web 18(5):1393\u20131417","journal-title":"World Wide Web"},{"issue":"2","key":"658_CR63","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/A:1007958904918","volume":"24","author":"P Viola","year":"1997","unstructured":"Viola P, Wells WM III (1997) Alignment by maximization of mutual information. Int J Comput Vis 24(2):137\u2013154","journal-title":"Int J Comput Vis"},{"key":"658_CR64","doi-asserted-by":"crossref","unstructured":"Wallach HM (2006) Topic modeling: beyond bag-of-words. In: Proceedings of the 23rd international conference on machine learning, ACM, pp 977\u2013984","DOI":"10.1145\/1143844.1143967"},{"key":"658_CR65","doi-asserted-by":"crossref","unstructured":"Walther M, Kaisser M (2013) Geo-spatial event detection in the twitter stream. In: ECIR, Springer, pp 356\u2013367","DOI":"10.1007\/978-3-642-36973-5_30"},{"issue":"1","key":"658_CR66","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/S1361-8415(01)80004-9","volume":"1","author":"WM Wells","year":"1996","unstructured":"Wells WM, Viola P, Atsumi H, Nakajima S, Kikinis R (1996) Multi-modal volume registration by maximization of mutual information. Med Image Anal 1(1):35\u201351","journal-title":"Med Image Anal"},{"key":"658_CR67","first-page":"401","volume":"11","author":"J Weng","year":"2011","unstructured":"Weng J, Lee BS (2011) Event detection in twitter. ICWSM 11:401\u2013408","journal-title":"ICWSM"},{"key":"658_CR68","first-page":"412","volume":"97","author":"Y Yang","year":"1997","unstructured":"Yang Y, Pedersen JO (1997) A comparative study on feature selection in text categorization. ICML 97:412\u2013420","journal-title":"ICML"},{"key":"658_CR69","doi-asserted-by":"crossref","unstructured":"Zhang H, Li D (2007) Na\u00efve bayes text classifier. In: Granular computing, 2007. GRC 2007. IEEE international conference on, IEEE, pp 708\u2013708","DOI":"10.1109\/GRC.2007.4403192"},{"key":"658_CR70","doi-asserted-by":"crossref","unstructured":"Zhang J, Ackerman MS, Adamic L (2007) Expertise networks in online communities: structure and algorithms. In: Proceedings of the 16th international conference on World Wide Web, ACM, pp 221\u2013230","DOI":"10.1145\/1242572.1242603"},{"issue":"1","key":"658_CR71","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1083-6101.2008.01429.x","volume":"14","author":"J Zywica","year":"2008","unstructured":"Zywica J, Danowski J (2008) The faces of facebookers: investigating social enhancement and social compensation hypotheses; predicting facebook and offline popularity from sociability and self-esteem, and mapping the meanings of popularity with semantic networks. J Comput Mediat Commun 14(1):1\u201334","journal-title":"J Comput Mediat Commun"}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-020-00658-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13278-020-00658-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-020-00658-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T16:52:25Z","timestamp":1723308745000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13278-020-00658-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,23]]},"references-count":71,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["658"],"URL":"https:\/\/doi.org\/10.1007\/s13278-020-00658-3","relation":{},"ISSN":["1869-5450","1869-5469"],"issn-type":[{"value":"1869-5450","type":"print"},{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,23]]},"assertion":[{"value":"17 September 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 May 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"61"}}