Analyzing a Korean blogosphere: a social network analysis perspective

Due to their popularity and widespread use, blogs have become an important medium through which to communicate and exchange information on the World Wide Web. The advent of the blogosphere may provide opportunities for establishing a new business model that investigates social relationships. In Korea, there are many blogospheres that appear to maintain different characteristics from foreign blogospheres on the Internet. Consequently, it is inappropriate to apply analysis methods used for the foreign blogosphere directly to Korean blogospheres. To establish successful business policies in Korean blogospheres, the characteristics of Korean blogospheres and the behavioral patterns of bloggers should be understood. In this paper, we analyze the characteristics of the Korean blog network, wherein each blogger forms a node and scraps by bloggers as edges. First, we demonstrate that the Korean blog network is also a scale-free network, like the World Wide Web. Second, we compare the Bow-tie structure of the Korean blog network with that of the World Wide Web. We expect that these analysis results will be helpful in developing effective algorithms and in establishing new business models targeted at the Korean blogosphere.

[1]  Christos Faloutsos,et al.  Patterns of Cascading Behavior in Large Blog Graphs , 2007, SDM.

[2]  Christos Faloutsos,et al.  Weighted graphs and disconnected components: patterns and a generator , 2008, KDD.

[3]  Inna Kouper,et al.  Conversations in the Blogosphere: An Analysis "From the Bottom Up" , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[4]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[5]  A. Barabasi,et al.  Scale-free characteristics of random networks: the topology of the world-wide web , 2000 .

[6]  Jon M. Kleinberg,et al.  The Web as a Graph: Measurements, Models, and Methods , 1999, COCOON.

[7]  Andrei Z. Broder,et al.  Graph structure in the Web , 2000, Comput. Networks.

[8]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[9]  Sang Ho Lee,et al.  Graph Structure of the Korea Web , 2007, DASFAA.

[10]  Debora Donato,et al.  Mining the inner structure of the Web graph , 2008, WebDB.

[11]  Sang-Wook Kim,et al.  Contents-Based Analysis of Community Formation and Evolution in Blogspace , 2009, 2009 IEEE 25th International Conference on Data Engineering.

[12]  Christos Faloutsos,et al.  ANF: a fast and scalable tool for data mining in massive graphs , 2002, KDD.

[13]  Sunju Park,et al.  Determining Content Power Users in a Blog Network: An Approach and Its Applications , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[14]  Sunju Park,et al.  Extraction of a latent blog community based on subject , 2009, CIKM.

[15]  Christos Faloutsos,et al.  Modeling Blog Dynamics , 2009, ICWSM.

[16]  Christos Faloutsos,et al.  Graph evolution: Densification and shrinking diameters , 2006, TKDD.

[17]  Debora Donato,et al.  The Web as a graph: How far we are , 2007, TOIT.

[18]  Christos Faloutsos,et al.  Finding patterns in blog shapes and blog evolution , 2007, ICWSM.

[19]  Eli Upfal,et al.  The Web as a graph , 2000, PODS.

[20]  Sunju Park,et al.  An analysis of information diffusion in the blog world , 2009, CIKM-CNIKM.