{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:30:02Z","timestamp":1769553002980,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T00:00:00Z","timestamp":1502150400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000269","name":"Economic and Social Research Council","doi-asserted-by":"publisher","award":["ES\/L011891\/1"],"award-info":[{"award-number":["ES\/L011891\/1"]}],"id":[{"id":"10.13039\/501100000269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EPJ Data Sci."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1140\/epjds\/s13688-017-0113-9","type":"journal-article","created":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T14:42:42Z","timestamp":1502203362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Classification of Westminster Parliamentary constituencies using e-petition data"],"prefix":"10.1140","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4090-6002","authenticated-orcid":false,"given":"Stephen","family":"Clark","sequence":"first","affiliation":[]},{"given":"Nik","family":"Lomax","sequence":"additional","affiliation":[]},{"given":"Michelle A","family":"Morris","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,8]]},"reference":[{"key":"113_CR1","volume-title":"Cluster analysis","author":"B Everitt","year":"2001","unstructured":"Everitt B, Landau S, Leese M (2001) Cluster analysis. 4th edn. Arnold, London","edition":"4"},{"key":"113_CR2","volume-title":"Data mining techniques for marketing, sales and customer support","author":"MJA Berry","year":"1997","unstructured":"Berry MJA, Linoff G (1997) Data mining techniques for marketing, sales and customer support. Wiley, New York"},{"key":"113_CR3","unstructured":"Office for National Statistics (2015) Methodology note for the 2011 area classification for output areas. https:\/\/www.ons.gov.uk\/methodology\/geography\/geographicalproducts\/areaclassifications\/2011areaclassifications"},{"key":"113_CR4","doi-asserted-by":"crossref","unstructured":"Gale CG, Singleton AD, Bates AG, Longley PA (2016) Creating the 2011 area classification for output areas (2011 OAC). J Spat Inf Sci 12","DOI":"10.5311\/JOSIS.2016.12.232"},{"key":"113_CR5","unstructured":"Office for National Statistics (2015) Methodology note for the 2011 area classification for local authorities. https:\/\/www.ons.gov.uk\/methodology\/geography\/geographicalproducts\/areaclassifications\/2011areaclassifications"},{"issue":"2","key":"113_CR6","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1068\/a3912","volume":"40","author":"PA Longley","year":"2008","unstructured":"Longley PA, Webber D, Li C (2008) The UK geography of the e-society a national classification. Environ Plan A 40(2):362-382","journal-title":"Environ Plan A"},{"key":"113_CR7","unstructured":"CallCredit (2017) CAMEO UK. https:\/\/www.cameodynamic.com\/"},{"key":"113_CR8","unstructured":"CACI (2017) ACORN family: social scene. http:\/\/www.caci.co.uk\/sites\/default\/files\/resources\/SocialSceneUG.pdf"},{"key":"113_CR9","unstructured":"CACI (2006) HealthACORN user guide. http:\/\/www.yhpho.org.uk\/resource\/item.aspx?RID=10140"},{"key":"113_CR10","unstructured":"CACI (2017) ACORN family: wellbeing. http:\/\/www.caci.co.uk\/sites\/default\/files\/resources\/Wellbeing_Acorn_User_Guide.pdf"},{"key":"113_CR11","unstructured":"CACI (2017) What is acorn? http:\/\/acorn.caci.co.uk\/"},{"key":"113_CR12","unstructured":"Experian (2017) Experian Moasaic. http:\/\/www.experian.co.uk\/marketing-services\/products\/mosaic-uk.html"},{"key":"113_CR13","unstructured":"Classification of Workplace Zones for England and Wales (2017) A classification of workplace zones from the 2011 census for England and Wales. http:\/\/cowz.geodata.soton.ac.uk\/"},{"key":"113_CR14","unstructured":"Greater London authority (2017) London output area classification. https:\/\/data.london.gov.uk\/dataset\/london-area-classification"},{"key":"113_CR15","first-page":"29","volume-title":"Handbook of digital politics","author":"S Wright","year":"2015","unstructured":"Wright S (2015) E-petitions. In: Coleman S, Freelon D (eds) Handbook of digital politics. Edward Elgar, Cheltenham Glos, p\u00a029"},{"issue":"1","key":"113_CR16","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1093\/pa\/gsn044","volume":"62","author":"L Miller","year":"2008","unstructured":"Miller L (2008) e-petitions at Westminster: the way forward for democracy? Parliam Aff 62(1):162-177","journal-title":"Parliam Aff"},{"issue":"6","key":"113_CR17","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1177\/1468794110380530","volume":"10","author":"H Briassoulis","year":"2010","unstructured":"Briassoulis H (2010) Online petitions: new tools of secondary analysis? Qual Res 10(6):715-727","journal-title":"Qual Res"},{"issue":"5","key":"113_CR18","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1080\/1369118X.2016.1203455","volume":"20","author":"C Bochel","year":"2016","unstructured":"Bochel C, Bochel H (2016) \u2018Reaching in\u2019? The potential for e-petitions in local government in the United Kingdom. Inf Commun Soc 20(5):683-699","journal-title":"Inf Commun Soc"},{"issue":"3-4","key":"113_CR19","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1080\/13572334.2012.706057","volume":"18","author":"R Hough","year":"2012","unstructured":"Hough R (2012) Do legislative petitions systems enhance the relationship between Parliament and citizen? J Legis Stud 18(3-4):479-495","journal-title":"J Legis Stud"},{"key":"113_CR20","first-page":"187","volume-title":"What do the people think?: E-petitioning and policy decision making. Beyond bureaucracy","author":"C Dumas","year":"2017","unstructured":"Dumas C, Harrison TM, Hagen L, Zhao X (2017) What do the people think?: E-petitioning and policy decision making. Beyond bureaucracy. Springer, Berlin, pp\u00a0187-207"},{"key":"113_CR21","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1145\/2702123.2702559","volume-title":"Proceedings of the 33rd annual ACM conference on human factors in computing systems","author":"S-W Huang","year":"2015","unstructured":"Huang S-W, Suh MM, Hill BM, Hsieh G (2015) How activists are both born and made: an analysis of users on change.org. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems. ACM, New York, pp\u00a0211-220"},{"issue":"2","key":"113_CR22","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1080\/1369118X.2016.1162828","volume":"20","author":"C Puschmann","year":"2016","unstructured":"Puschmann C, Bastos MT, Schmidt J-H (2016) Birds of a feather petition together? Characterizing e-petitioning through the lens of platform data. Inf Commun Soc 20(2):203-220","journal-title":"Inf Commun Soc"},{"key":"113_CR23","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/2757401.2757421","volume-title":"Proceedings of the 16th annual international conference on digital government research","author":"L Hagen","year":"2015","unstructured":"Hagen L, Harrison TM, Uzuner \u00d6, Fake T, Lamanna D, Kotfila C (2015) Introducing textual analysis tools for policy informatics: a case study of e-petitions. In: Proceedings of the 16th annual international conference on digital government research. ACM, New York, pp\u00a010-19"},{"key":"113_CR24","doi-asserted-by":"crossref","unstructured":"Hanretty C (2017) Areal interpolation and the UK\u2019s referendum on EU membership. Journal of Elections, Public Opinion and Parties, 1-18","DOI":"10.1080\/17457289.2017.1287081"},{"issue":"1","key":"113_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X Wu","year":"2007","unstructured":"Wu X, Kumar V, Ross Quinlan J, Ghosh J, Yang Q, Motoda H, McLachlan GJ, Ng A, Liu B, Yu PS, Zhou Z-H, Steinbach M, Hand DJ, Steinberg D (2007) Top 10 algorithms in data mining. Knowl Inf Syst 14(1):1-37","journal-title":"Knowl Inf Syst"},{"issue":"0","key":"113_CR26","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1214\/09-SS053","volume":"4","author":"V Melnykov","year":"2010","unstructured":"Melnykov V, Maitra R (2010) Finite mixture models and model-based clustering. Stat Surv 4(0):80-116","journal-title":"Stat Surv"},{"issue":"458","key":"113_CR27","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"Fraley C, Raftery AE (2002) Model-based clustering, discriminant analysis, and density estimation. J Am Stat Assoc 97(458):611-631","journal-title":"J Am Stat Assoc"},{"key":"113_CR28","unstructured":"R: a language and environment for statistical computing (2016) R foundation for statistical computing, Vienna, Austria"},{"issue":"1","key":"113_CR29","doi-asserted-by":"crossref","first-page":"289","DOI":"10.32614\/RJ-2016-021","volume":"8","author":"L Scrucca","year":"2016","unstructured":"Scrucca L, Fop M, Murphy TB, Raftery AE (2016) mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. R J 8(1):289-317","journal-title":"R J"},{"key":"113_CR30","unstructured":"Houses of Parliament (2017) Petitions: UK Government and Parliament. https:\/\/petition.parliament.uk\/"},{"key":"113_CR31","unstructured":"British Broadcasting Corporation (2017) Reality check: can we believe petition signature numbers? http:\/\/www.bbc.co.uk\/news\/uk-politics-38828663"},{"key":"113_CR32","unstructured":"Yasseri T, Hale SA, Margetts H (2013) Modeling the rise in internet-based petitions. arXiv:1308.0239"},{"key":"113_CR33","unstructured":"Wei T, Simko V (2016) R package \u2018corrplot\u2019; visulatisation of a correlation matrxiv (Version 0.82). https:\/\/github.com\/taiyun\/corrplot"},{"key":"113_CR34","doi-asserted-by":"crossref","unstructured":"Sanders D (2016) The UK\u2019s changing party system: the prospects for a party realignment at Westminster. Unpublished","DOI":"10.5871\/jba\/005.091"},{"issue":"3","key":"113_CR35","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1111\/1467-923X.12285","volume":"87","author":"M Goodwin","year":"2016","unstructured":"Goodwin M, Heath O (2016) The 2016 referendum, Brexit and the left behind: an aggregate-level Analysis of the result. Polit Q 87(3):323-332","journal-title":"Polit Q"},{"key":"113_CR36","unstructured":"Chamberlain N (1938) Quoted in \u2018Prime Minister on the issues\u2019. The Times. 28th September"},{"issue":"2","key":"113_CR37","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10109-016-0226-x","volume":"18","author":"A Singleton","year":"2016","unstructured":"Singleton A, Pavlis M, Longley PA (2016) The stability of geodemographic cluster assignments over an intercensal period. J Geogr Syst 18(2):97-123","journal-title":"J Geogr Syst"},{"issue":"1","key":"113_CR38","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1111\/geoj.12171","volume":"183","author":"R Johnston","year":"2017","unstructured":"Johnston R, Pattie C, Manley D (2017) Britain\u2019s changed electoral map in and beyond 2015: the importance of geography. Geogr J 183(1):58-70","journal-title":"Geogr J"},{"issue":"2","key":"113_CR39","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1080\/21622671.2013.778211","volume":"1","author":"R Johnston","year":"2013","unstructured":"Johnston R, Pattie C, Rossiter D (2013) Manipulating territories: British political parties and new parliamentary constituencies. Territ Politics Gov 1(2):223-245","journal-title":"Territ Politics Gov"},{"key":"113_CR40","unstructured":"Directorate-General for Internal Policies (2015) The Right to Petition EU. European Parliament. http:\/\/www.europarl.europa.eu\/RegData\/etudes\/STUD\/2015\/519223\/IPOL_STU(2015)519223_EN.pdf"}],"container-title":["EPJ Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1140\/epjds\/s13688-017-0113-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-017-0113-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-017-0113-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T21:59:25Z","timestamp":1659304765000},"score":1,"resource":{"primary":{"URL":"http:\/\/epjdatascience.springeropen.com\/articles\/10.1140\/epjds\/s13688-017-0113-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,8]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["113"],"URL":"https:\/\/doi.org\/10.1140\/epjds\/s13688-017-0113-9","relation":{},"ISSN":["2193-1127"],"issn-type":[{"value":"2193-1127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,8]]},"article-number":"16"}}