… , but a little of them has a significant impact to information retrieval. Therefore this paper
proposes a model of information retrieval from the social network extraction. …

… data set, the supervised extraction approach usually has … model training, unsupervised
extraction approach has been widely studied and many great methods in unsupervised approach …

… As the application of Theorem 1, we modelled the structure of webpages for information
retrieval in social network extraction perspective based on Eqs. 4 and 5. The documents set \(D_r…

… about the extraction from the Web, that is to generate social network, … extracted social
networks and information retrieval [9]. On the one hand, the extraction method of social networks …

… A standard approach is to build a user social network and then use an algorithm to calculate
each user’s reputation. Chen et al. [16] proposed a reputation calculation mechanism for …

… , information retrieval, ubiquitous computing, and so on. We propose a social network extraction
… This paper describes a social network mining approach using the Web. Several studies …

… In this case, through social networks whereby the role of social actor degrees plays a role. …
becomes an indication of social networks. An adaptive approach we use by involving this …

… the superficial approach, an approach belong to unsupervised method, for extracting social
network from web by not only relying on the co-occurrence but to consider other information. …

… on social networks, and online pictures have exploded. How to … retrieve the image information
by text information retrieval … From the perspective of image scope, image intensity can be …

… Content mining and information retrieval techniques can provide important benefits in this
… Methodologically, as described above, this study offers a novel approach to quantify social …