منابع مشابه
Time-aware PageRank for bibliographic networks
In the past, recursive algorithms, such as PageRank originally conceived for the Web, have been successfully used to rank nodes in the citation networks of papers, authors, or journals. They have proved to determine prestige and not popularity, unlike citation counts. However, bibliographic networks, in contrast to the Web, have some specific features that enable the assigning of different weig...
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We model scientific expertise as a mixture of topics and authority. Authority is calculated based on the network properties of each topic network. ThemedPageRank, our combination of LDA-derived topics with PageRank differs from previous models in that topics influence both the bias and transition probabilities of PageRank. It also incorporates the age of documents. Our model is general in that ...
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The discovery that real-world large networks from many different domains (sociology, biology, computer science. . . ) share the same characteristics has raised an interest in their studying ([17, 2, 15]). The associated graphs of such networks are rather sparse (the mean degree stays roughly constant when the number of nodes increases), highly clustered, and there exists short paths that can be...
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Ranking in bibliographic information networks is a widely studied problem due to its many applications such as advertisement industry, funding, search engines, etc. Most of the existing works on ranking in bibliographic information network are based on ranking of research papers and their authors. But the bibliographic information network can be used for solving other important problems as well...
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In this paper, we introduce a community detection approach from heterogeneous multi-relational network which incorporate the multiple types of objects and relationships, derived from a bibliographic networks. The proposed approach performs firstly by constructing the relation context family (RCF) to represent the different objects and relations in the multi-relational bibliographic networks usi...
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ژورنال
عنوان ژورنال: Scientometrics
سال: 2008
ISSN: 0138-9130,1588-2861
DOI: 10.1007/s11192-007-1908-4