期刊名称：Computing, Information Systems, Development Informatics and Allied Research Journal
印刷版ISSN：2167-1710
出版年度：2014
卷号：5
期号：1
页码：107-118
语种：English
出版社：Computing, Information Systems, Development Informatics and Allied Research Journal
摘要：Blog has take an important aspect of internet since the introduction of Web 2.0 technology because blog as been away to influence others who read the blogs. People now have interest in finding materials and friends on the internet.Many users visit blog sites to read the posts and comment on them. Most people do read blog to gather informationon things that are important before take major decision about them. Because blogger always share their experienceon a topic for others to comments and through this others share their own experience. With the impact thatinfluential blogger have in a community. The benefits of achieving competitive advantages in a blog community byidentify influential blogger have created several research gaps and the popularity of these services has make theproblem of identifying the most influential bloggers significant, since its solution can lead to major benefits for theusers of this services i.e. education, politic, participatory journalism, advertising, searching, commerce etc. Thecurrent works in this regard ignore some important aspects of the blogsphere. This paper focuses on using acrossbreed method as an improvement to the existing methodologies. With the introduction of new parametersFBCount and Mining Comments the new approach show that the score of each blog post reflect quality andgoodness of blog post. A program prototype was designed to calculate the influential bloggers. The results obtainedconfirm that current approach could significantly identify influential of bloggers on the web and the proposed modelhas better performance than other approaches. There are still a few of avenues for the future research. Future workcan include full implementation of the program prototype and try to improve on it to directly get the parameters usedfrom the blog post on the web in a blog community, more parameters like twitter shares, G+1s Pin shares etc can beincluded into the literature and check for the behavior of the influence and future research can investigate more timein deciding weight parameter that is crucial for tuning between different influential factors. Keyword : Blog, Blogger, Social networks, Blogosphere, Influential bloggers, Influential, Models.
