Search (2 results, page 1 of 1)

  • × author_ss:"Vaughan, L."
  • × language_ss:"e"
  • × theme_ss:"Informetrie"
  1. Romero-Frías, E.; Vaughan, L.: Exploring the relationships between media and political parties through web hyperlink analysis : the case of Spain (2012) 0.01
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    Abstract
    The study focuses on the web presence of the main Spanish media and seeks to determine whether hyperlink analysis of media and political parties can provide insight into their political orientation. The research included all major national media and political parties in Spain. Inlink and co-link data about these organizations were collected and analyzed using multidimensional scaling (MDS) and other statistical methods. In the MDS map, media are clustered based on their political orientation. There are significantly more co-links between media and parties with the same political orientation than there are between those with different political orientations. Findings from the study suggest the potential of using link analysis to gain new insights into the interactions among media and political parties.
  2. Vaughan, L.: Uncovering information from social media hyperlinks (2016) 0.01
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    Abstract
    Analyzing hyperlink patterns has been a major research topic since the early days of the web. Numerous studies reported uncovering rich information and methodological advances. However, very few studies thus far examined hyperlinks in the rapidly developing sphere of social media. This paper reports a study that helps fill this gap. The study analyzed links originating from tweets to the websites of 3 types of organizations (government, education, and business). Data were collected over an 8-month period to observe the fluctuation and reliability of the individual data set. Hyperlink data from the general web (not social media sites) were also collected and compared with social media data. The study found that the 2 types of hyperlink data correlated significantly and that analyzing the 2 together can help organizations see their relative strength or weakness in the two platforms. The study also found that both types of inlink data correlated with offline measures of organizations' performance. Twitter data from a relatively short period were fairly reliable in estimating performance measures. The timelier nature of social media data as well as the date/time stamps on tweets make this type of data potentially more valuable than that from the general web.