Abstract
Nowadays, people in social networks can have impact on the actual society, e.g. a post on a person’s space can lead to real actions of other people in many areas of life. This is called social influence and the task of evaluating the influence is called social influence analysis which can be exploited in many fields, such as typical marketing (object oriented advertising), recommender systems, social network analysis, event detection, expert finding, link prediction, ranking, etc. The h-index, proposed by Hirsch in 2005, is now a widely used index for measuring both the productivity and impact of the published work of a scientist or scholar. This paper proposes to use h-index to measure the blogger influence in a social community. We also propose to enhance information for h-index (as well as its variants) calculation, and our experimental results are very promising.
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Bui, DL., Nguyen, TT., Ha, QT. (2014). Measuring the Influence of Bloggers in Their Community Based on the H-index Family. In: van Do, T., Thi, H., Nguyen, N. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-06569-4_23
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DOI: https://doi.org/10.1007/978-3-319-06569-4_23
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