Second, one can workout from playing around with random walks in Markov chain that if nodes only mutually link to each other if it grants them a gain in PageRank; the resulting network will not be scale free (ie, the network will not follow the power law in incoming and outgoing degrees). Since that the Chinese web does follow the power law in it’s incoming and outgoing degree (see, Liu et al. 2005 or you can empirically show it yourself); this suggest that the high amount of mutual links in the Chinese web are caused by other activities. Our guanxi model can explain the high amount of mutual links in the graph; and the generated random graph follows the power law in its incoming degree.

For researchers that are interested in collaborating with us or have any related ideas, please contact us at yul@uvic.a, thanks

One of the underexplored areas in Service Oriented Security is what types of federated relationships are valuable, and what new composite identity architectures emerge from these connections. In my view, the main weakness of security architectures is t…

We compared the local linking structure of Chinese web sites to the local linking structure of web sites in the general web and in Japan, Iran, and France. We also explored methods to identify different types of guanxi in the Chinese web. Finally, we refined our mechanism for simulating guanxi in a web graph model.

Look out for a full length research paper to be published this year; and thank you so much for support our research. It is a very interesting topic to us and I’m glade that somebody else thinks so too.

Lou