playing around with NodeXL

Some time now NodeXL (free download) has been around for analysing social networks in general, but also with a strong focus on online networks (Twitter, YouTube and Flickr).

Below is just a small test – not on online networks (that’s in the works) – but on my author network.
It’s interesting to see the different groups with the network:

  1. in the right uppper corner is the sociology group of collaborators;
  2. in the lower right corner are local (Radboud) collaborators on local media;
  3. in the lower left corner is the group of authors on Internet studies (with a special focus on the collaborators in the WCU project);
  4. below (6 o’clock) are the two collaborators on watching television in a longitudinal perspective;
  5. in the upper left corner ar the authors on journalism and the Internet, and political communication on the Net, with a small subgroup of authors from Belgium.

For the full list of publications that make up this author network, go to the publications page on this blog.

At a later date I will post some new graphs visualizing online politics.

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it’s almost like Christmas

Two chapters I co-authored were published in a book this week. The first one (Vergeer, Coenders  & Scheepers, 2009) focuses on explaining the time people spend on watching TV. The interesting point about this study that explanations are not only sought at the individual level (especially in terms of alternative ways to spend time) but also at the level of the television system (i.e. tv program diversity, number of commercial and PSB channels, the budget). The study uses multi level analysis to test the hypotheses. Here is the abstract:

This study aims to explain the variation in time spent on watching television in 15 European Union countries, using determinants defined at the individual level, and characteristics defined at the national level, such as the number of channels and nature of the television supply. The results of the multi-level analysis show that the number of channels in countries has no effect on time spent on television. Yet, the more diverse the program supply on public broadcasting channels in different countries, the less time people spend on watching television. However, this relation decreases when more commercial channels are available to watch. This suggests that EU citizens, having commercial channels as alternatives, avoid a diverse program supply in favor of commercial program supply.

The second chapter Westerik, Hollander, Verschuren & Vergeer, 2009) in the same volume, deals with community involvement and media use.

Full references:

  • Vergeer, M., Coenders, M. & Scheepers, P. (2009). Time spent on television in European countries. In R.P. Konig, P.W.M. Nelissen, & F.J.M. Huysmans (Eds.), Meaningful media: Communication Research on the Social Construction of Reality (54-73). Nijmegen, The Netherlands: Tandem Felix.
  • Westerik, H., Hollander, E., Verschuren, P. J. M., & Vergeer, M. (2009). Media use and community involvement: A theoretical and meta-analytical review. In R. P. Konig, P. W. M. Nelissen, & F. J. M. Huysmans (Eds.), Meaningful media: Communication research on the social construction of reality (pp. 38-53). Nijmegen, The Netherlands: Tandem Felix.
  • http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/digg_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/delicious_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/technorati_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/google_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/myspace_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/facebook_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/twitter_32.png

    Two in a row

    Today, two of my publications went online on the website of Journal of Computer-Mediated Communication. One study, titled Consequences of media and Internet use for offline and online network capital and well-being. A causal model approach, co-authored by Ben Pelzer. This is the abstract:

    This study sets out to identify relations between people’s media use, network capital as a resource, and loneliness. Unlike many studies on this topic, this study aimed to test hypotheses on a national sample, and used insights from empirical research and theoretical notions from different research areas. Data collected via telephone interviews in 2005 were analyzed with Structural Equation Modeling. The assumption that traditional and new media destroy social capital is not supported empirically.Moreover, online network capital augments offline network capital and web surfing coincides with more online socializing. However, this additional capital appears not to have benefits in terms of social support and loneliness. The reverse causal relation between loneliness and media use also could not be established.

    The second study, written by Liesbeth Hermans, me and  Leen dHaenens, is on how journalists use the Internet in journalism: Internet in the Daily Life of Journalists: Explaining the use of the Internet by Work-Related Characteristics and Professional Opinions. One of the most interesting findings is that practical considerations determine the use of the Internet stronger than professional considerations such as credibility and accuracy do.

    http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/digg_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/delicious_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/technorati_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/google_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/myspace_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/facebook_32.png http://blog.mauricevergeer.nl/wordpress/wp-content/plugins/sociofluid/images/twitter_32.png