- -

Revealing the online network between university and industry: the case of Turkey

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Revealing the online network between university and industry: the case of Turkey

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Orduña Malea, Enrique es_ES
dc.contributor.author Aytac, Selenay es_ES
dc.date.accessioned 2017-06-02T11:50:31Z
dc.date.available 2017-06-02T11:50:31Z
dc.date.issued 2015-12
dc.identifier.issn 0138-9130
dc.identifier.uri http://hdl.handle.net/10251/82261
dc.description.abstract The present paper attempts to explore the relationship between the Turkish academic and industry systems by mapping the relationships under web indicators. We used the top 100 Turkish universities and the top 10 Turkish companies in 10 industrial sectors in order to observe the performance of web impact indicators. Total page count metric is obtained through Google Turkey and the pure link metrics have been gathered from Open Site Explorer. The indicators obtained both for web presence and web visibility indicated that there are significant differences between the group of academic institutions and those related to companies within the web space of Turkey. However, this current study is exploratory and should be replicated with a larger sample of both Turkish universities and companies in each sector. Likewise, a longitudinal study rather than sectional would eliminate or smooth fluctuations of web data (especially URL mentions) as a more adequate understanding of the relations between Turkish institutions, and their web impact, is reached. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.publisher Akadémiai Kiadó es_ES
dc.relation.ispartof Scientometrics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Universities es_ES
dc.subject Private companies es_ES
dc.subject Social network analysis es_ES
dc.subject University– industry transfer es_ES
dc.subject Web indicators es_ES
dc.subject Turkey es_ES
dc.subject.classification COMUNICACION AUDIOVISUAL Y PUBLICIDAD es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.title Revealing the online network between university and industry: the case of Turkey es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11192-015-1596-4
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Diseño para la Fabricación y Producción Automatizada - Institut de Disseny per a la Fabricació i Producció Automatitzada es_ES
dc.description.bibliographicCitation Orduña Malea, E.; Aytac, S. (2015). Revealing the online network between university and industry: the case of Turkey. Scientometrics. 105(3):1849-1866. doi:10.1007/s11192-015-1596-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11192-015-1596-4 es_ES
dc.description.upvformatpinicio 1849 es_ES
dc.description.upvformatpfin 1866 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 105 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 297223 es_ES
dc.description.references Aguillo, I. F., Granadino, B., Ortega, J. L., & Prieto, J. A. (2006). Scientific research activity and communication measured with cybermetrics indicators. Journal of the American Society for Information Science and Technology, 57(10), 1296–1302. es_ES
dc.description.references Arslan, M. L., & Seker, S. E. (2014). Web based reputation index of Turkish Universities. International Journal of E-Education E-Business E-Management and E-Learning, 4(3), 197–203. es_ES
dc.description.references Aytac, S. (2010). International scholarly collaboration in science, technology and medicine and social science of Turkish scientists. The International Information & Library Review, 42(4), 227–241. es_ES
dc.description.references Bahçıvan, E. (ed.) (2013). Turkey’s Top 500 Industrial enterprises 2012. The Journal of the Istanbul Chamber of Industry, 48(569), 1–124 (special issue). es_ES
dc.description.references Barabasi, A. L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509–512. es_ES
dc.description.references Cankir, B., Arslan, M. L., & Seker, S. E. (2015). Web Reputation Index for XU030 Quote Companies. Journal of Industrial and Intelligent Information, 3(2), 110–113. es_ES
dc.description.references Faba-Fernández, C., Guerrero-Bote, Vicente P., & Moya-Anegón, F. (2003). Data mining in a closed web environment. Scientometrics, 58(3), 623–640. es_ES
dc.description.references Fruchterman, T. M., & Reingold, E. M. (1991). Graph drawing by force‐directed placement. Software: Practice and experience, 21(11), 1129–1164. es_ES
dc.description.references García-Santiago, L., & De Moya-Anegón, F. (2009). Using co-outlinks to mine heterogeneous networks. Scientometrics, 79(3), 681–702. es_ES
dc.description.references Jolliffe, I. (2002). Principal component analysis. New York: Springer. es_ES
dc.description.references Khan, G. F., & Park, H. W. (2011). Measuring the triple helix on the web: Longitudinal trends in the university–industry–government relationship in Korea. Journal of the American Society for Information Science and Technology, 62(12), 2443–2455. es_ES
dc.description.references Leydesdorff, L., & Etzkowitz, H. (1996). Emergence of a triple helix of university–industry–government relations. Science and public policy, 23(5), 279–286. es_ES
dc.description.references Leydesdorff, L., & Park, H. W. (2014). Can synergy in triple-helix relations be quantified? A review of the development of the triple-helix indicator. arXiv preprint arXiv:1401.2342. es_ES
dc.description.references Meyer, M. (2000). What is special about patent citations? Differences between scientific and patent citations. Scientometrics, 49(1), 93–123. es_ES
dc.description.references Meyer, M., Siniläinen, T., & Utecht, J. T. (2003). Towards hybrid triple helix indicators: A study of university-related patents and a survey of academic inventors. Scientometrics, 58(2), 321–350. es_ES
dc.description.references Minguillo, D., & Thelwall, M. (2012). Mapping the network structure of science parks: An exploratory study of cross-sectoral interactions reflected on the web. Aslib Proceedings, 64(4), 332–357. es_ES
dc.description.references Montesinos, P., Carot, J. M., Martínez, J. M., & Mora, F. (2008). Third mission ranking for world class universities: Beyond teaching and research. Higher Education in Europe, 33(2/3), 259–271. es_ES
dc.description.references Orduna-Malea, E., & López-Cózar, E. D. (2014). Google scholar metrics evolution: An analysis according to languages. Scientometrics, 98(3), 2353–2367. es_ES
dc.description.references Ortega, J. L., Orduna-Malea, E., & Aguillo, I. F. (2014). Are web mentions accurate substitutes for inlinks for Spanish universities? Online Information Review, 38(1), 59–77. es_ES
dc.description.references Priem, J., & Hemminger, B. H. (2010). Scientometrics 2.0: New metrics of scholarly impact on the social Web. First Monday, 15(7). http://firstmonday.org/ojs/index.php/fm/article/viewArticle/2874 . Accessed 31 December 2014. es_ES
dc.description.references Romero-Frías, E. (2011). Googling companies-a webometric approach to business studies. Leading Issues in Business Research Methods, 7(1), 93–106. es_ES
dc.description.references Romero-Frías, E., & Vaughan, L. (2010). Patterns of web linking to heterogeneous groups of companies: The case of stock exchange indexes. Aslib Proceedings, 62(2), 144–164. es_ES
dc.description.references Stuart, D., & Thelwall, M. (2006). Investigating triple helix relationships using URL citations: A case study of the UK West Midlands automobile industry. Research Evaluation, 15(2), 97–106. es_ES
dc.description.references Thelwall, M. (2004). Link analysis: An information science approach. San Diego: Academic Press. es_ES
dc.description.references Thelwall, M. (2014). A brief history of altmetrics. Research trends, 37, 3–4. http://www.researchtrends.com/issue-37-june-2014/a-brief-history-of-altmetrics/ . Accessed 31 December 2014. es_ES
dc.description.references Thelwall, M., & Harries, G. (2003). The connection between the research of a university and counts of links to its Web pages: An investigation based upon a classification of the relationships of pages to the research of the host university. Journal of the American Society for Information Science and Technology, 54(7), 594–602. es_ES
dc.description.references Vaughan, L. (2004). Exploring website features for business information. Scientometrics, 61(3), 467–477. es_ES
dc.description.references Vaughan, L. (2006). Visualizing linguistic and cultural differences using Web co-link data. Journal of the American Society for Information Science and Technology, 57(9), 1178–1193. es_ES
dc.description.references Vaughan, L., & Yang, R. (2012). Web data as academic and business quality estimates: A comparison of three data sources. Journal of the American Society for Information Science and Technology, 63(10), 1960–1972. es_ES
dc.description.references Vaughan, L., Gao, Y., & Kipp, M. (2006). Why are hyperlinks to business Websites created? A content analysis. Scientometrics, 67(2), 291–300. es_ES
dc.description.references Vaughan, L., & Romero-Frías, E. (2012). Exploring web keyword analysis as an alternative to link analysis: A multi-industry case. Scientometrics, 93(1), 217–232. es_ES
dc.description.references Vaughan, L., & Thelwall, M. (2003). Scholarly use of the web: What are the key inducers of links to journal web sites? Journal of the American Society for Information Science and Technology, 54(1), 29–38. es_ES
dc.description.references Vaughan, L., & Wu, G. (2004). Links to commercial web sites as a source of business information. Scientometrics, 60(3), 487–496. es_ES
dc.description.references Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library & Information Science Research, 35(4), 318–325. es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem