TY - GEN
T1 - Determining content power users in a blog network
AU - Lim, Seung Hwan
AU - Kim, Sang Wook
AU - Park, Sunju
AU - Lee, Joon Ho
PY - 2009
Y1 - 2009
N2 - In a blog network, there are special users who induce other users to actively utilize blog services. In this paper, these users whose contents exhibit large influence over other users are defined as Content Power Users (CPUs). Accurately determining who content power users are in a blog network is important in order to establish an effective business policy that stimulates usage of blog services. In this paper, we propose a new method of determining content power users. First, we measure the influence of each document owned by individual users. Since the influence of a document tends to be high with long exposure, we adjust the value of influence of a document based on exposure duration. Then, by adding up the values of influence of all the documents owned by each user, we calculate the influence of the corresponding user. We analyze the performance of our method, by applying the proposed method to an actual blog network and comparing its results to those of preexisting methods for determining power users. The experimental results demonstrate that our method is well suited for the dynamic nature of the blog network.
AB - In a blog network, there are special users who induce other users to actively utilize blog services. In this paper, these users whose contents exhibit large influence over other users are defined as Content Power Users (CPUs). Accurately determining who content power users are in a blog network is important in order to establish an effective business policy that stimulates usage of blog services. In this paper, we propose a new method of determining content power users. First, we measure the influence of each document owned by individual users. Since the influence of a document tends to be high with long exposure, we adjust the value of influence of a document based on exposure duration. Then, by adding up the values of influence of all the documents owned by each user, we calculate the influence of the corresponding user. We analyze the performance of our method, by applying the proposed method to an actual blog network and comparing its results to those of preexisting methods for determining power users. The experimental results demonstrate that our method is well suited for the dynamic nature of the blog network.
UR - http://www.scopus.com/inward/record.url?scp=77951427199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951427199&partnerID=8YFLogxK
U2 - 10.1145/1731011.1731016
DO - 10.1145/1731011.1731016
M3 - Conference contribution
AN - SCOPUS:77951427199
SN - 9781605586762
T3 - Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09
BT - Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09
T2 - 3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09
Y2 - 28 June 2009 through 28 June 2009
ER -