ملخص: Allowing global distribution of information to large audiences at very low cost, the Internet has emerged as a vital medium for marketing and advertising. Weblogs, a new form of self publication on the Internet, have attracted online ad- vertisers because of their incredible growth-rate in recent years. In this paper, we propose to discover information di®usion paths from the blogosphere to track how information frequently °ows from blog to blog. This knowledge can be used in various applications of online campaign. Our approach is based on analyzing the content of blogs. After detecting trackable topics of blogs, we model a blog community as a blog sequence database. Then, the discovery of information di®usion paths is formalized as a problem of frequent pattern mining. We develop a new data mining algorithm to discover information di®usion paths. Experiments conducted on real life dataset show that our algorithm discovers information di®usion paths e±ciently. The discovered information di®usion paths are accurate in predicting the future information °ow in the blog community.

لغة: إنجليزية