000 02958cam a2200397 i 4500
001 on1002189279
003 OCoLC
005 20250612155445.0
006 m o d
007 cr |n|||||||||
008 170830s2018 mau ob 000 0 eng d
040 _aYDX
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019 _a1002209827
_a1002562176
_a1105190427
_a1105574679
_a1229712272
020 _a9780081018781
_q(electronic bk.)
020 _a0081018789
_q(electronic bk.)
020 _z0081018770
020 _z9780081018774
035 _a(OCoLC)1002189279
_z(OCoLC)1002209827
_z(OCoLC)1002562176
_z(OCoLC)1105190427
_z(OCoLC)1105574679
_z(OCoLC)1229712272
050 4 _aTK5105.888
072 7 _aLAN
_x025000
_2bisacsh
082 0 4 _a025.042072/7
_223
100 1 _aOrdu�na-Malea, Enrique,
_eauthor.
_933960
245 1 0 _aCybermetric techniques to evaluate organizations using Web-based data /
_cEnrique Orduna-Malea, Adolfo Alonso-Arroyo.
264 1 _aCambridge, MA :
_bChandos Publishing is an imprint of Elsevier,
_c[2018]
264 4 _c�2018
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aOnline resource; title from PDF title page (EBSCO, viewed September 13, 2017).
520 _a"Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usability, SEO and design interaction metrics and evaluations) with a purpose of finding potential correlations. It also includes metrics from new social media platforms, metrics related to the interaction among companies, impact filtering according to different entity categories, innovation and scientific activities and media presence. This model is then applied to test feasibility and accuracy. Different statistical methods and tests are also applied to guide data gathering and analysis. Proposes a new model aimed at measuring performance of private companies on the web, combining quantitative and qualitative techniques, Applies an empirical model to different environments (scientific, professional, innovation and media), providing new and original data not found elsewhere, Demonstrates both the advantages and risks of using indicators, Introduces solid statistical techniques for web data analysis, Presents a whole picture for measuring the web performance of technology companies through web metrics"--
_cProvided by publisher
650 0 _aWebometrics.
_933961
700 1 _aAlonso-Arroyo, Adolfo,
_eauthor.
_933962
776 0 8 _iPrint version:
_z0081018770
_z9780081018774
_w(OCoLC)978589035
856 4 0 _3ScienceDirect
_uhttps://www.sciencedirect.com/science/book/9780081018774
999 _c216401
_d216401