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It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title><jats:p>Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The case study the authors took on the Nigeria\u2019s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.<\/jats:p><\/jats:sec>","DOI":"10.1108\/prog-02-2016-0011","type":"journal-article","created":{"date-parts":[[2016,11,18]],"date-time":"2016-11-18T13:08:39Z","timestamp":1479474519000},"page":"481-507","source":"Crossref","is-referenced-by-count":33,"title":["Determining social media impact on the politics of developing countries using social network analytics"],"prefix":"10.1108","volume":"50","author":[{"given":"Collins","family":"Udanor","sequence":"first","affiliation":[]},{"given":"Stephen","family":"Aneke","sequence":"additional","affiliation":[]},{"given":"Blessing Ogechi","family":"Ogbuokiri","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020121300321344100_ref001","unstructured":"Active social network. \u201cPenetration in selected countries as of January 2016\u201d, available at: www.statista.com\/statistics\/282846\/regular-social-networking-usage-penetration-worldwide-by-country\/"},{"key":"key2020121300321344100_ref002","unstructured":"Adedeji Saheed Oyenuga. 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(2011), \u201cFruchterman-reingold with annotation\u201d, available at: http:\/\/wiki.cns.iu.edu\/pages\/viewpage.action?pageId=1704110 (accessed 25 March 2015)."},{"issue":"1","key":"key2020121300321344100_ref005","first-page":"185","article-title":"The power of social media in developing nations: new tools for closing the global digital divide and beyond","volume":"24","year":"2011","journal-title":"Harvard Human Rights Journal"},{"key":"key2020121300321344100_ref006","unstructured":"Anderson, C.E. \u201cReal time data from big time fun, harnessing the power of mobile technology and social media for better species management\u201d, available at: http:\/\/ieeexplore.ieee.org.ezproxy.mdx.ac.uk\/stamp\/stamp.jsp?tp=&arnumber=6404833"},{"key":"key2020121300321344100_ref007","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1038\/nature11421","article-title":"A 61-million-person experiment in social influence and political mobilization","volume":"489","year":"2012","journal-title":"Nature Weekly International Journal of Science"},{"key":"key2020121300321344100_ref008","unstructured":"Bryan Pierce. \u201cVisual business intelligence blog: perceptual edge\u201d, NodeXL: Network Visualizations in Excel available at: www.perceptualedge.com\/blog\/?p=680 (accessed 22 September 2016)."},{"issue":"1","key":"key2020121300321344100_ref009","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1111\/j-1467-839X.2007.00241.X","article-title":"Social network analysis: a methodological introduction","volume":"11","year":"2008","journal-title":"Asian Journal of Social Psychology"},{"key":"key2020121300321344100_ref010","unstructured":"Campbell, J. and Bunche, R. (2015), \u201cNigeria\u2019s 2015 Presidential Election: contingency planning memorandum update\u201d, Council on Foreign Relations, February, available at: www.cfr.org\/nigeria\/nigerias-2015-presidential-election\/p36087 (accessed 16 March 2016)."},{"issue":"4","key":"key2020121300321344100_ref011","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1016\/j.chb.2013.01.044","article-title":"Does Twitter motivate involvement in politics? 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(2011), \u201cRemarks with Jordanian Foreign Minister Nasser Judeh after their meeting\u201d, US Department of State, 26 January, available at: www.state.gov\/secretary\/rm\/2011\/01\/155388.htm (accessed 23 January 2015)."},{"key":"key2020121300321344100_ref016","first-page":"1","volume-title":"The Rise of Citizen Journalism in Nigeria \u2013 A Case Study of Sahara Reporters","author":"Dare, Sunday","year":"2010"},{"key":"key2020121300321344100_ref017","unstructured":"DEEP ANALYTICS. \u201cUnstructured data: a big deal in Big Data\u201d, available at: www.digitalreasoning.com\/resources\/Holistic-Analytics.pdf (accessed 22 September 2016)."},{"key":"key2020121300321344100_ref018","article-title":"The role of sociogram in social network analysis","year":"2012"},{"key":"key2020121300321344100_ref019","unstructured":"Edd Dumbill (2012), \u201cWhat is Big Data? 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(2015), \u201cSocial media was the other big winner at Nigeria\u2019s historic elections\u201d, available at: http:\/\/qz.com\/377777\/social-media-was-the-other-big-winner-at-nigerias-historicelections\/ (accessed 12 May, 2015)."},{"issue":"11","key":"key2020121300321344100_ref020","first-page":"1129","article-title":"Graph drawing by force-directed placement","volume":"21","year":"2011","journal-title":"Software-Practice and Experience"},{"issue":"2","key":"key2020121300321344100_ref021","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ijinfomgt.2014.10.007","article-title":"Beyond the hype: Big Data concepts, methods and analytics","volume":"35","year":"2015","journal-title":"International Journal of Information Management"},{"key":"key2020121300321344100_ref022","doi-asserted-by":"crossref","unstructured":"Gastaldi, M. (2014), \u201cIntegration of mobile, Big Data, sensors, and social media: impact on daily life and business\u201d, in Cunningham, P. and Cunningham, M. (Eds), IST-Africa 2014 Conference Proceedings, ISBN: 978-1-905824-44-1, IIMC International Information Management Corporation Pretoria, pp. 1-10, available at: http:\/\/ieeexplore.ieee.org.ezproxy.mdx.ac.uk\/stamp\/stamp.jsp?tp=&arnumber=6880670 (accessed 23 September 2016).","DOI":"10.1109\/ISTAFRICA.2014.6880670"},{"issue":"6","key":"key2020121300321344100_ref023","first-page":"649","article-title":"A meta-analysis of state of the art electoral prediction from Twitter data","volume":"31","year":"2013","journal-title":"Social Science Review"},{"key":"key2020121300321344100_ref024","article-title":"Combining big social media data and FCA for crisis response","year":"2014"},{"key":"key2020121300321344100_ref025","article-title":"Frequent itemset mining for Big Data in social media using ClustBigFIM algorithm","year":"2015"},{"issue":"1","key":"key2020121300321344100_ref026","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1177\/1326365X14539213","article-title":"Social media impact on Malaysia\u2019s 13th general election","volume":"24","year":"2014","journal-title":"Asia Pacific Media Educator"},{"key":"key2020121300321344100_ref027","unstructured":"Gopaldas, R. (2015), \u201cHashtag accountability: social media and the political protest of Africa\u2019s middle class\u201d, available at: www.cnbcafrica.com\/news\/special-report\/2014\/11\/07\/technology-democracy-social-media\/ (accessed 8 March 2015)."},{"key":"key2020121300321344100_ref028","article-title":"The Emergent project: emergency management in social media generation dealing with Big Data from social media data streams","year":"2014"},{"key":"key2020121300321344100_ref029","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.bushor.2014.10.006","article-title":"The real-time power of twitter: crisis management and leadership in an age of social media","volume":"58","year":"2015","journal-title":"Business Horizons"},{"key":"key2020121300321344100_ref030","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1016\/j.procs.2016.08.203","article-title":"Pre processing of Twitter\u2019s data for opinion mining in political context","volume":"96","year":"2016","journal-title":"Procedia Computer Science"},{"key":"key2020121300321344100_ref031","unstructured":"Gurak, L. and Logie, J. (2006), \u201cInternet protests-from text to web an article in the book\u201d, in McCaughey, M. and Ayers, M.D. (Eds), Cyberactivism-Online Activism in Theory and Practice, Routledge, New York, NY, pp. 25-46."},{"key":"key2020121300321344100_ref032","first-page":"454","article-title":"Does social media Big Data make the world smaller? An exploratory analysis of keyword-hashtag networks","year":"2014"},{"key":"key2020121300321344100_ref033","unstructured":"Hanneman, R.A. and Riddle, M. (2005), \u201cCentrality and power\u201d, Introduction to Social Network Methods, University of California, Riverside, CA, available at: www.faculty.ucr.edu\/~hanneman\/nettext\/C10_Centrality.html (accessed 25 January 2016)."},{"key":"key2020121300321344100_ref034","doi-asserted-by":"crossref","unstructured":"Harel, D. and Koren, Y. (2001), \u201cA fast multi-scale method for drawing large graphs\u201d, GD \u201800 Proceedings of the 8th International Symposium on Graph Drawing, Springer-Verlag, London, pp. 183-196.","DOI":"10.1007\/3-540-44541-2_18"},{"key":"key2020121300321344100_ref035","unstructured":"Hollander, C.E. \u201cAn introduction to sig wociogram construction\u201d, available at: http:\/\/asgpp.org\/pdf\/carl%20hollander%20sociogram.pdf (accessed 23 September 2016)."},{"key":"key2020121300321344100_ref036","article-title":"Understanding Big Data for dummies","year":"2013"},{"issue":"1","key":"key2020121300321344100_ref037","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.bushor.2009.09.003","article-title":"Users of the world, unite! 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(2011), \u201cClassifications of countries based on their level of development: how it is done\u201d, International Monetary Fund (IMF) Publications, pp. 1-45, available at: http:\/\/data.worldbank.org\/news\/new-country-classifications (accessed 26 January 2016)."},{"key":"key2020121300321344100_ref043","first-page":"1381","volume-title":"Uberveillance and the Internet of Things and People","year":"2014"},{"key":"key2020121300321344100_ref044","doi-asserted-by":"crossref","unstructured":"Mihanovi\u0107, H.G. and Krsti\u0107, \u017d. (2014), \u201cBig Data and sentiment analysis using KNIME: online reviews vs social media\u201d, 37th International Convention, Sociometric Methods for Relevancy Analysis of Long Tail Science Data, IEEE, 26 May, pp. 1464-1468, available at: http:\/\/ieeexplore.ieee.org.ezproxy.mdx.ac.uk\/stamp\/stamp.jsp?tp=&arnumber=6859797 (accessed 23 December 2016).","DOI":"10.1109\/MIPRO.2014.6859797"},{"key":"key2020121300321344100_ref045","unstructured":"Murse, T. (2015), \u201cHow social media has changed politics\u201d, available at: http:\/\/uspolitics.about.com\/od\/CampaignsElections\/tp\/How-Social-Media-Has-Changed-Politics.htm (accessed 25 January 2016)."},{"key":"key2020121300321344100_ref046","article-title":"Social media, Big Data and public health informatics: ruminating behaviour of depression revealed through Twitter","year":"2015"},{"key":"key2020121300321344100_ref047","unstructured":"Nip, J.Y.M. (2010), \u201cRoutinization of charisma \u2013 the institutionalization of public journalism online\u201d, Public Journalism 2.0: The Promise and Reality of a Citizen-Engaged Press, Routledge, Britain, pp. 135-148."},{"key":"key2020121300321344100_ref048","unstructured":"NodeXL Graphs. (2016), \u201cThe social media research foundation\u201d, available at: http:\/\/nodexl.codeplex.com\/ (accessed 23 September 2016)."},{"key":"key2020121300321344100_ref049","doi-asserted-by":"crossref","unstructured":"Rajasekar, A., Sankaran, S., Lander, H., Carsey, T., Crabtree, J., Kum, H., Crosas, M., King, G. and Zhan, J. (2013), \u201cSociometric methods for relevancy analysis of long tail science data\u201d, SocialCom\/PASSAT\/BigData\/EconCom\/BioMedCom, IEEE, pp. 1-6, available at: http:\/\/ieeexplore.ieee.org.ezproxy.mdx.ac.uk\/stamp\/stamp.jsp?tp=&arnumber=6693303 (accessed 2 February 2016).","DOI":"10.1109\/SocialCom.2013.6"},{"key":"key2020121300321344100_ref050","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.knosys.2014.05.008","article-title":"PoliTwi: early detection of emerging political topics on Twitter and the impact on concept-level sentiment analysis","volume":"69","year":"2014","journal-title":"Knowledge-Based Systems"},{"issue":"2014","key":"key2020121300321344100_ref051","first-page":"365","article-title":"Towards cyberactivism 2.0? 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(2014), \u201cThe role played by social media in political participation and electoral campaigns\u201d, available at: http:\/\/epthinktank.eu\/2014\/02\/12\/the-role-played-by-social-media-in-political-participation-and-electoral-campaigns\/ (accessed 2 February 2016)."},{"key":"key2020121300321344100_ref058","first-page":"10","volume-title":"Understanding Socio-economic and Political Factors to Impact Policy Change","author":"The World Bank Social Development Department","year":"2006"},{"key":"key2020121300321344100_ref059","unstructured":"Ugwuanyi, S. (2015), \u201cNigeria decides: what Daily Post online poll says\u201d, Daily Post, 27 March, available at: http:\/\/dailypost.ng\/2015\/03\/27\/nigeria-decides-what-daily-post-online-poll-says\/ (accessed 20 January 2016)."},{"key":"key2020121300321344100_ref060","article-title":"Big Data, big challenges","year":"2014"},{"key":"key2020121300321344100_ref056","unstructured":"Wikipedia (2015), \u201cSocial Media\u201d, available at: http:\/\/en.wikipedia.org\/wiki\/Social_media"},{"key":"key2020121300321344100_ref061","unstructured":"World Economic Situation and Prospects (2012), \u201cWorld economic situation and prospects\u201d, United Nations Publication, New York, NY, available at: www.un.org\/en\/development\/desa\/policy\/wesp\/wesp_current\/2012country_class.pdf (accessed 20 November 2015)."},{"key":"key2020121300321344100_ref062","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Wang, S., Cao, G., Padmanabhan, A. and Wu, K. (2004), \u201cA scalable approach to extracting mobility patterns from social media data\u201d, 22nd International Conference on Geoinformatics, IEEE, pp. 1-6, available at: http:\/\/ieeexplore.ieee.org.ezproxy.mdx.ac.uk\/stamp\/stamp.jsp?tp=&arnumber=6950845 (accessed 23 September 2016).","DOI":"10.1109\/GEOINFORMATICS.2014.6950845"}],"container-title":["Program"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/PROG-02-2016-0011","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/PROG-02-2016-0011\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/PROG-02-2016-0011\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:57:24Z","timestamp":1753394244000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/dta\/article\/50\/4\/481-507\/452254"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,6]]},"references-count":62,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,9,6]]}},"alternative-id":["10.1108\/PROG-02-2016-0011"],"URL":"https:\/\/doi.org\/10.1108\/prog-02-2016-0011","relation":{},"ISSN":["0033-0337"],"issn-type":[{"value":"0033-0337","type":"print"}],"subject":[],"published":{"date-parts":[[2016,9,6]]}}}