European Political Trends Viewed Through Patterns of Web Linking Romero Frías, Esteban Vaughan, Liwen Internet politics Web data mining Co-link analysis Webometrics "This is the peer reviewed version of the following article: Romero-Frías, E.; Vaughan, L. European Political Trends Viewed Through Patterns of Web Linking. Journal of the American Society for Information Science and Technology, 61(10): 2109-2121 (2010), which has been published in final form at http://dx.doi.org/10.1002/asi.21375 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving." This study explored the feasibility of using Web hyperlink data to study European political Web sites. Ninety-six European Union political parties belonging to a wide range of ideological, historical and linguistic backgrounds were included in the study. Various types of data on Web links to party Websites were collected. The Web co-link data were visualized using multidimensional scaling (MDS) while the inlink data were analyzed with a two-way analysis of variance test. The results showed that Web hyperlink data did reflect some political patterns in the European Union (EU). The MDS maps showed clusters of political parties along ideological, historical, linguistic and social lines. Statistical analysis based on inlink counts further confirmed that there was a significant difference along the line of the political history of a country, such that left-wing parties in the former communist countries received considerably fewer inlinks to their Websites than left-wing parties in countries without a history of communism did. The study demonstrated the possibility of using Web hyperlink data to gain insights into political situations in the EU. This suggests the richness of Web hyperlink data and its potential in studying social-political phenomena. 2018-01-15T09:19:13Z 2018-01-15T09:19:13Z 2010 info:eu-repo/semantics/article Romero-Frías, E.; Vaughan, L. European Political Trends Viewed Through Patterns of Web Linking. Journal of the American Society for Information Science and Technology, 61(10): 2109-2121 (2010). [http://hdl.handle.net/10481/48885] 1532-2882 1532-2890 http://hdl.handle.net/10481/48885 10.1002/asi.21375 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Association for Information Science and Technology