The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we examine information diffusion in citation networks by analyzing the correlations between various citation choices and the subsequent impact of the articles. We find that citing recent papers and papers within the same scholarly community garners a slightly larger number of citatio...

With the exponential growth of scholarly data during the past few years, effective methods for topic classification are greatly needed. Current approaches usually require large amounts of expensive labeled data in order to make accurate predictions. In this paper, we posit that, in addition to a research article’s textual content, its citation network also contains valuable information. We desc...

We extend the direct approach for blockmodeling one-mode data to two-mode data. The key idea in this development is that the rows and columns are partitioned simultaneously but in different ways. Many (but not all) of the generalized block types can be mobilized in blockmodeling two-mode network data. These methods were applied to some ‘voting’ data from the 2000–2001 term of the Supreme Court ...

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Technical details of 4 papers related to the behavior on the citation network are presented, followed by discussion of their strengths and weakness. Several possible research topics and methods are proposed based on paper reviewing.

The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google’s PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications’ influence in a specific ...