7,612 research outputs found

    Utilising content marketing metrics and social networks for academic visibility

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    There are numerous assumptions on research evaluation in terms of quality and relevance of academic contributions. Researchers are becoming increasingly acquainted with bibliometric indicators, including; citation analysis, impact factor, h-index, webometrics and academic social networking sites. In this light, this chapter presents a review of these concepts as it considers relevant theoretical underpinnings that are related to the content marketing of scholars. Therefore, this contribution critically evaluates previous papers that revolve on the subject of academic reputation as it deliberates on the individual researchers’ personal branding. It also explains how metrics are currently being used to rank the academic standing of journals as well as higher educational institutions. In a nutshell, this chapter implies that the scholarly impact depends on a number of factors including accessibility of publications, peer review of academic work as well as social networking among scholars.peer-reviewe

    Post-Westgate SWAT : C4ISTAR Architectural Framework for Autonomous Network Integrated Multifaceted Warfighting Solutions Version 1.0 : A Peer-Reviewed Monograph

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    Police SWAT teams and Military Special Forces face mounting pressure and challenges from adversaries that can only be resolved by way of ever more sophisticated inputs into tactical operations. Lethal Autonomy provides constrained military/security forces with a viable option, but only if implementation has got proper empirically supported foundations. Autonomous weapon systems can be designed and developed to conduct ground, air and naval operations. This monograph offers some insights into the challenges of developing legal, reliable and ethical forms of autonomous weapons, that address the gap between Police or Law Enforcement and Military operations that is growing exponentially small. National adversaries are today in many instances hybrid threats, that manifest criminal and military traits, these often require deployment of hybrid-capability autonomous weapons imbued with the capability to taken on both Military and/or Security objectives. The Westgate Terrorist Attack of 21st September 2013 in the Westlands suburb of Nairobi, Kenya is a very clear manifestation of the hybrid combat scenario that required military response and police investigations against a fighting cell of the Somalia based globally networked Al Shabaab terrorist group.Comment: 52 pages, 6 Figures, over 40 references, reviewed by a reade

    The Big Carrot:High-Stakes Incentives Revisited

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    Using an international dataset of about 35,000 subjects, this paper provides an empirical example of high-stakes incentives in relation to religious practice. First, we show that incentives (based on absolute belief) play a salient role in religious performance. Second, we find that, when both positive (heaven) and negative (hell) incentives are available, the former are more effective than the latter. Specifically, it is shown that beliefs in heaven are much more relevant than beliefs in hell when estimating the production of religious commodities (church-attendance and praying equations).carrot/stick, high-stakes incentives, rewards, punishment, Economics of Religion

    ArticleRank: a PageRank-based alternative to numbers of citations for analysing citation networks

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    Purpose - The purpose of this paper is to suggest an alternative to the widely used Times Cited criterion for analysing citation networks. The approach involves taking account of the natures of the papers that cite a given paper, so as to differentiate between papers that attract the same number of citations. Design/methodology/approach - ArticleRank is an algorithm that has been derived from Google's PageRank algorithm to measure the influence of journal articles. ArticleRank is applied to two datasets - a citation network based on an early paper on webometrics, and a self-citation network based on the 19 most cited papers in the Journal of Documentation - using citation data taken from the Web of Knowledge database. Findings - ArticleRank values provide a different ranking of a set of papers from that provided by the corresponding Times Cited values, and overcomes the inability of the latter to differentiate between papers with the same numbers of citations. The difference in rankings between Times Cited and ArticleRank is greatest for the most heavily cited articles in a dataset. Originality/value - This is a novel application of the PageRank algorithm

    Web citations in patents: Evidence of technological impact?

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    This is an accepted manuscript of an article published by Wiley Blackwell in Journal of the Association for Information Science and Technology on 17/07/2017, available online: https://doi.org/10.1002/asi.23821 The accepted version of the publication may differ from the final published version.Patents sometimes cite web pages either as general background to the problem being addressed or to identify prior publications that will limit the scope of the patent granted. Counts of the number of patents citing an organisation’s website may therefore provide an indicator of its technological capacity or relevance. This article introduces methods to extract URL citations from patents and evaluates the usefulness of counts of patent web citations as a technology indicator. An analysis of patents citing 200 US universities or 177 UK universities found computer science and engineering departments to be frequently cited, as well as research-related web pages, such as Wikipedia, YouTube or Internet Archive. Overall, however, patent URL citations seem to be frequent enough to be useful for ranking major US and the top few UK universities if popular hosted subdomains are filtered out, but the hit count estimates on the first search engine results page should not be relied upon for accuracy

    Are web mentions accurate substitutes for inlinks for Spanish universities?

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    This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limitedurpose – Title and URL mentions have recently been proposed as web visibility indicators instead of inlink counts. The objective of this study is to determine the accuracy of these alternative web mention indicators in the Spanish academic system, taking into account their complexity (multi-domains) and diversity (different official languages). Design/methodology/approach – Inlinks, title and URL mentions from 76 Spanish universities were manually extracted from the main search engines (Google, Google Scholar, Yahoo!, Bing and Exalead). Several statistical methods, such as correlation, difference tests and regression models, were used. Findings – Web mentions, despite some limitations, can be used as substitutes for inlinks in the Spanish academic system, although these indicators are more likely to be influenced by the environment (language, web domain policy, etc.) than inlinks. Research limitations/implications – Title mentions provide unstable results caused by the multiple name variants which an institution can present (such as acronyms and other language versions). URL mentions are more stable, but they may present atypical points due to some shortcomings, the effect of which is that URL mentions do not have the same meaning as inlinks. Practical implications – Web mentions should be used with caution and after a cleaning-up process. Moreover, these counts do not necessarily signify connectivity, so their use in global web analysis should be limited. Originality/value – Web mentions have previously been used in some specific academic systems (US, UK and China), but this study analyses, in depth and for the first time, an entire non-English speaking European country (Spain), with complex academic web behaviour, which helps to better explain previous web mention results.Ortega, JL.; Orduña Malea, E.; Aguillo, IF. (2014). Are web mentions accurate substitutes for inlinks for Spanish universities?. Online Information Review. 38(1):59-77. doi:10.1108/OIR-10-2012-0189S5977381Adecannby, J. (2011), “Web link analysis of interrelationship between top ten African universities and world universities”, Annals of Library and Information Studies, Vol. 58 No. 2, pp. 128-138.Aguillo, I. (2009). Measuring the institution’s footprint in the web. Library Hi Tech, 27(4), 540-556. doi:10.1108/073788309Aguillo, I.F. , Ortega, J.L. and FernĂĄndez, M. (2008), “Webometric ranking of world universities: introduction, methodology, and future developments”, Higher Education in Europe, Vol. 33 Nos 2/3, pp. 234-244.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. doi:10.1002/asi.20433BarabĂĄsi, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512. doi:10.1126/science.286.5439.509Bar-Ilan, J. (2005). The use of web search engines in information science research. Annual Review of Information Science and Technology, 38(1), 231-288. doi:10.1002/aris.1440380106Bar-Ilan, J. (2004). A microscopic link analysis of academic institutions within a country - the case of Israel. Scientometrics, 59(3), 391-403. doi:10.1023/b:scie.0000018540.33706.c1Bar-Ilan, J. (2005). What do we know about links and linking? A framework for studying links in academic environments. Information Processing & Management, 41(4), 973-986. doi:10.1016/j.ipm.2004.02.005Björneborn, L., & Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216-1227. doi:10.1002/asi.20077Bland, J.M. and Altman, D.G. (1996), “Transforming data”, British Medical Journal, Vol. 312 No. 7033, p.Cronin, B., Snyder, H. W., Rosenbaum, H., Martinson, A., & Callahan, E. (1998). Invoked on the Web. Journal of the American Society for Information Science, 49(14), 1319-1328. doi:10.1002/(sici)1097-4571(1998)49:143.0.co;2-wFriedman, M. (1937). The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance. Journal of the American Statistical Association, 32(200), 675-701. doi:10.1080/01621459.1937.10503522Harries, G., Wilkinson, D., Price, L., Fairclough, R., & Thelwall, M. (2004). Hyperlinks as a data source for science mapping. Journal of Information Science, 30(5), 436-447. doi:10.1177/0165551504046736Heimeriks, G. and Van den Besselaar, P. (2006), “Analyzing hyperlink networks: the meaning of hyperlink based indicators of knowledge”, Cybermetrics, Vol. 10, available at: http://cybermetrics.cindoc.csic.es/articles/v10i1p1.pdf (accessed 10 July 2013).Heimeriks, G., Hörlesberger, M., & Van den Besselaar, P. (2003). Scientometrics, 58(2), 391-413. doi:10.1023/a:1026296812830Kousha, K. and Horri, A. (2004), “The relationship between scholarly publishing and the counts of academic inlinks to Iranian university web sites: exploring academic link creation motivations”, Journal of Information Management and Scientometrics, Vol. 1 No. 2, pp. 13-22.Kousha, K., & Thelwall, M. (2009). Google book search: Citation analysis for social science and the humanities. Journal of the American Society for Information Science and Technology, 60(8), 1537-1549. doi:10.1002/asi.21085Kretschmer, H., & Aguillo, I. F. (2004). Visibility of collaboration on the Web. Scientometrics, 61(3), 405-426. doi:10.1023/b:scie.0000045118.68430.fdOrduña-Malea, E. (2012), “Fuentes de enlaces web para anĂĄlisis cibermĂ©tricos (2012)”, Anuario Thinkepi, Vol. 6 No. 1, pp. 276-280.Orduña-Malea, E. (2013), “Espacio universitario español en la Web (2010): estudio descriptivo de instituciones y productos acadĂ©micos a travĂ©s del anĂĄlisis de subdominios y subdirectorios”, Revista Española de DocumentaciĂłn CientĂ­fica, Vol. 36 No. 3.Orduña-Malea, E., & Ontalba-RuipĂ©rez, J.-A. (2012). Proposal for a multilevel university cybermetric analysis model. Scientometrics, 95(3), 863-884. doi:10.1007/s11192-012-0868-5Orduña-Malea, E., Serrano-Cobos, J., Ontalba-RuipĂ©rez, J. A., & Lloret-Romero, N. (2010). Presencia y visibilidad web de las universidades pĂșblicas españolas. Revista española de DocumentaciĂłn CientĂ­fica, 33(2), 246-278. doi:10.3989/redc.2010.2.740Ortega, J. L., & Aguillo, I. F. (2008). Visualization of the Nordic academic web: Link analysis using social network tools. Information Processing & Management, 44(4), 1624-1633. doi:10.1016/j.ipm.2007.09.010Ortega, J. L., & Aguillo, I. F. (2009). AnĂĄlisis estructural de la web acadĂ©mica iberoamericana. Revista española de DocumentaciĂłn CientĂ­fica, 32(3), 51-65. doi:10.3989/redc.2009.3.689Ortega, J. L., Aguillo, I., Cothey, V., & Scharnhorst, A. (2007). Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators. Scientometrics, 74(2), 295-308. doi:10.1007/s11192-008-0218-9Qiu, J., Chen, J., & Wang, Z. (2004). An analysis of backlink counts and Web Impact Factorsfor Chinese university websites. Scientometrics, 60(3), 463-473. doi:10.1023/b:scie.0000034387.76981.83Seeber, M., Lepori, B., Lomi, A., Aguillo, I., & Barberio, V. (2012). Factors affecting web links between European higher education institutions. Journal of Informetrics, 6(3), 435-447. doi:10.1016/j.joi.2012.03.001Seidman, E. (2007), “We are flattered, but 
”, Bing Community, available at: www.bing.com/community/site_blogs/b/search/archive/2007/03/28/we-are-flattered-but.aspx (accessed 20 October 2012).Smith, A.G. (1999), “A tale of two web spaces: comparing sites using web impact factors”, Journal of Documentation, Vol. 55 No. 5, pp. 577-592.Smith, A., & Thelwall, M. (2002). Scientometrics, 54(3), 363-380. doi:10.1023/a:1016030415822Stuart, 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. doi:10.3152/147154406781775968Thelwall, M. (2001). Extracting macroscopic information from Web links. Journal of the American Society for Information Science and Technology, 52(13), 1157-1168. doi:10.1002/asi.1182Thelwall, M. (2002). An initial exploration of the link relationship between UK university Web sites. Aslib Proceedings, 54(2), 118-126. doi:10.1108/00012530210435248Thelwall, M. and Aguillo, I.F. (2003), “La salud de las web universitarias españolas”, Revista Española de DocumentaciĂłn CientĂ­fica, Vol. 26 No. 3, pp. 291-305.Thelwall, M., & Kousha, K. (2008). Online presentations as a source of scientific impact? An analysis of PowerPoint files citing academic journals. Journal of the American Society for Information Science and Technology, 59(5), 805-815. doi:10.1002/asi.20803Thelwall, M., & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organizations. Journal of the American Society for Information Science and Technology, 62(8), 1488-1497. doi:10.1002/asi.21571Thelwall, M., & Sud, P. (2012). Webometric research with the Bing Search API 2.0. Journal of Informetrics, 6(1), 44-52. doi:10.1016/j.joi.2011.10.002Thelwall, M., & Zuccala, A. (2008). A university-centred European Union link analysis. Scientometrics, 75(3), 407-420. doi:10.1007/s11192-007-1831-8Thelwall, M., Tang, R., & Price, L. (2003). Scientometrics, 56(3), 417-432. doi:10.1023/a:1022387105904Thelwall, M., Binns, R., Harries, G., Page-Kennedy, T., Price, L., & Wilkinson, D. (2002). Scientometrics, 53(1), 95-111. doi:10.1023/a:1014836021080Vaughan, L. (2012). An Alternative Data Source for Web Hyperlink Analysis: «Sites Linking In» at Alexa Internet. Collnet Journal of Scientometrics and Information Management, 6(1), 31-42. doi:10.1080/09737766.2012.10700922Vaughan, L., & Romero-FrĂ­as, E. (2012). Exploring Web keyword analysis as an alternative to link analysis: a multi-industry case. Scientometrics, 93(1), 217-232. doi:10.1007/s11192-012-0640-xVaughan, L., & Shaw, D. (2003). Bibliographic and Web citations: What is the difference? Journal of the American Society for Information Science and Technology, 54(14), 1313-1322. doi:10.1002/asi.10338Vaughan, 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. doi:10.1002/asi.22659Vaughan, L., & You, J. (2010). Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept. Journal of Informetrics, 4(4), 483-491. doi:10.1016/j.joi.2010.04.005Vaughan, L., Kipp, M. E. I., & Gao, Y. (2007). Why are Websites co-linked? The case of Canadian universities. Scientometrics, 72(1), 81-92. doi:10.1007/s11192-007-1707-y(The) Washington Post(2009), “It's official: Yahoo-Microsoft announce ten-year search/ad pact”, The Washington Post, available at: www.washingtonpost.com/wp-dyn/content/article/2009/07/29/AR2009072901108.html (accessed 27 February 2013).Wilkinson, D., Harries, G., Thelwall, M., & Price, L. (2003). Motivations for academic web site interlinking: evidence for the Web as a novel source of information on informal scholarly communication. Journal of Information Science, 29(1), 49-56. doi:10.1177/016555150302900105Zhang, Y. (2006). The Effect of Open Access on Citation Impact: A Comparison Study Based on Web Citation Analysis. Libri, 56(3). doi:10.1515/libr.2006.14

    Why are Websites co-linked? the case of Canadian universities

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    This study examined why Websites were co-linked using Canadian university Websites as the test set. Pages that co-linked to these university Websites were located using Yahool. A random sample of 859 co-linking pages (the page that initiated the co-link) was retrieved and the contents of the page, as well as the context of the link, were manually examined to record the following variables: language, country, type of Website, and the reasons for co-linking. The study found that in over 94% of cases, the two co-linked universities were related academically; many of these cases (38%) showed a relationship specifically in teaching or research. This confirms results, from previous quantitative studies, that Web co-links can be a measure of the similarity or relatedness of sites being co-linked and that Web co-link analysis can thus be used to study relationships among linked Websites. Copyright © 2007 Akadémiai Kiadó Budapest All rights reserved

    Why are hyperlinks to business Websites created? A content analysis

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    Why are hyperlinks to business Websites created? A content analysis

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    Motivations for the creation of hyperlinks to business sites were analyzed through a content analysis approach. Links to 280 North American IT companies (71 Canadian companies and 209 U.S. companies) were searched through Yahoo!. Then a random sample of 808 links was taken from the links retrieved. The content as well as the context of each link was manually examined to determine why the link was created. The country location and the type of the site where the link came from were also identified. The study found that most links were created for business purposes confirming findings from early quantitative studies that links contain useful business information. Links to competitors were extremely rare but competitors were often co-linked, suggesting that co-link analysis is the direction to pursue for information on competitive intelligence. Copyright © 2006 Akadémiai Kiadó, Budapest. All rights reserved
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