Abstract—Blogging is a popular way of expressing opinions
and discussing topics. Bloggers demonstrate different levels of
commitment and most interesting are influential bloggers.
Around such bloggers, the groups are forming, which
concentrate users sharing similar interests. Finding such
bloggers is an important task and has many applications e.g.
marketing, business, politics. Influential ones affect others
which is related to the process of diffusion. However, there is no
objective way to telling which blogger is more influential.
Therefore, researchers take into consideration different criteria
to assess bloggers (e.g. SNA centrality measures). In this paper
we propose new, efficient method for influential bloggers
discovery which is based on relation of commenting in blogger’s
thread and is defined on bloggers level. Next, we compare results
with other, comparative method proposed by Agarwal et al.
called iFinder which is based on links between posts.
Index Terms—Blogosphere, influential bloggers, social media,
social network analysis.
The authors are with AGH University of Science and Technology,
Cracow, Poland (e-mail: bgliwa@agh.edu.pl, azygmunt@agh.edu.pl).
Cite: Bogdan Gliwa and Anna Zygmunt, "Finding Influential Bloggers," International Journal of Machine Learning and Computing vol. 5, no. 2, pp. 127-131, 2015.