2015
DOI: 10.1109/rita.2015.2486387
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OER Recommendation for Entrepreneurship Using a Framework Based on Social Network Analysis

Abstract: In these days, much of the information published on the Web is published on social media, represented through social networks such as Facebook or Twitter, to name only the most prominent.Each of the media and social networks has its own scheme of operation and different working characteristics; for example, Twitter is a social network where millions of daily messages called tweets are exchanged. The message labels, called hashtags, can be used to identify the subject of the message. The message may also includ… Show more

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Cited by 7 publications
(2 citation statements)
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References 30 publications
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“…The OER users get more precise results from general search engines, through of metadata enrichment and logic inference. In [26] is described an OER recommendation for entrepreneurship using a framework based on social network analysis and linked data. The framework is applied to the StartUp project (intelligent training needs assessment and open educational resources to foster entrepreneurship), specifically intended to provide effective OER corresponding to individual entrepreneurship learning needs.…”
Section: Challenges To Adopting Oermentioning
confidence: 99%
“…The OER users get more precise results from general search engines, through of metadata enrichment and logic inference. In [26] is described an OER recommendation for entrepreneurship using a framework based on social network analysis and linked data. The framework is applied to the StartUp project (intelligent training needs assessment and open educational resources to foster entrepreneurship), specifically intended to provide effective OER corresponding to individual entrepreneurship learning needs.…”
Section: Challenges To Adopting Oermentioning
confidence: 99%
“…xlim=c (-180,180), ylim=c(-60, 90))+ scale_fill_continuous(low="thistle2", high="darkred", guide="colorbar") + #, labels="comma") scale_y_continuous(breaks=c()) + scale_x_continuous(breaks=c()) + labs(fill = "Número \nde sessões\n(em mil)", title="Acessos ao MIT OCW de 2008 a 2017", x="", y="") + theme_bw() + theme(legend.position="bottom", legend.box="horizontal", legend.key.width= unit(2, "cm"), 2010x x x x H. C. Davis et al (2010) x x x Kanwar, Kodhandaraman, & Umar (2010) x x x Thakrar, Zinn, & Wolfenden (2009) x x Ferreira (2009) x x x x x x Friesen (2009) x Lane (2009) Baker, Thierstein, Fletcher, Kaur, & Emmons (2009 x x x x x Arendt & Shelton (2009) x x Morgan & Carey (2009) x x x x x x x Weibel et al (2009) x x x x M. S. Smith (2009) Vera (2009 x Petrides, Nguyen, Kargliani, & Jimes (2008) Abelson (2008 x x x x Wilson (2008) x x x x x Caswell, Henson, Jensen, & Wiley (2008) x Lee, Lin, & Bonk (2007) x Oyo, Kalema, & Byabazaire (2017) x x x Hilton III, Fischer, Wiley, & Williams (2016) x x x x Cox & Trotter (2016) x x x Rapp, Gulbahar, & Adnan (2016) x x x x x Tabuenca, Kalz, Ternier, & Specht (2016) x x Suárez (2016) x 2017x Amiel & Soares 2016x Hu, Li, Li, & Huang (2015) x x Fischer, Hilton, Robinson, & Wiley (2015) x x x x x Lopez-Vargas, Piedra, Chicaiza, & Caro (2015) x Elf, Ossiannilsson, Neljesjö, & Jansson (2015) x x Law 2015x Vidal (2015) x x Ye, Recker, Walker, Leary, & Yuan (2015) x x…”
Section: Gráfico De Importâncias Relativas De Cada Clustermentioning
confidence: 99%