8,174 research outputs found
Applying weighted PageRank to author citation networks
This paper aims to identify whether different weighted PageRank algorithms
can be applied to author citation networks to measure the popularity and
prestige of a scholar from a citation perspective. Information Retrieval (IR)
was selected as a test field and data from 1956-2008 were collected from Web of
Science (WOS). Weighted PageRank with citation and publication as weighted
vectors were calculated on author citation networks. The results indicate that
both popularity rank and prestige rank were highly correlated with the weighted
PageRank. Principal Component Analysis (PCA) was conducted to detect
relationships among these different measures. For capturing prize winners
within the IR field, prestige rank outperformed all the other measures.Comment: 19 pages, 4 figures, 5 table
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
In many semiparametric models that are parameterized by two types of
parameters---a Euclidean parameter of interest and an infinite-dimensional
nuisance parameter---the two parameters are bundled together, that is, the
nuisance parameter is an unknown function that contains the parameter of
interest as part of its argument. For example, in a linear regression model for
censored survival data, the unspecified error distribution function involves
the regression coefficients. Motivated by developing an efficient estimating
method for the regression parameters, we propose a general sieve M-theorem for
bundled parameters and apply the theorem to deriving the asymptotic theory for
the sieve maximum likelihood estimation in the linear regression model for
censored survival data. The numerical implementation of the proposed estimating
method can be achieved through the conventional gradient-based search
algorithms such as the Newton--Raphson algorithm. We show that the proposed
estimator is consistent and asymptotically normal and achieves the
semiparametric efficiency bound. Simulation studies demonstrate that the
proposed method performs well in practical settings and yields more efficient
estimates than existing estimating equation based methods. Illustration with a
real data example is also provided.Comment: Published in at http://dx.doi.org/10.1214/11-AOS934 the Annals of
Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical
Statistics (http://www.imstat.org
Weighted citation: An indicator of an article's prestige
We propose using the technique of weighted citation to measure an article's
prestige. The technique allocates a different weight to each reference by
taking into account the impact of citing journals and citation time intervals.
Weighted citation captures prestige, whereas citation counts capture
popularity. We compare the value variances for popularity and prestige for
articles published in the Journal of the American Society for Information
Science and Technology from 1998 to 2007, and find that the majority have
comparable status.Comment: 17 pages, 6 figure
Popular and/or Prestigious? Measures of Scholarly Esteem
Citation analysis does not generally take the quality of citations into
account: all citations are weighted equally irrespective of source. However, a
scholar may be highly cited but not highly regarded: popularity and prestige
are not identical measures of esteem. In this study we define popularity as the
number of times an author is cited and prestige as the number of times an
author is cited by highly cited papers. Information Retrieval (IR) is the test
field. We compare the 40 leading researchers in terms of their popularity and
prestige over time. Some authors are ranked high on prestige but not on
popularity, while others are ranked high on popularity but not on prestige. We
also relate measures of popularity and prestige to date of Ph.D. award, number
of key publications, organizational affiliation, receipt of prizes/honors, and
gender.Comment: 26 pages, 5 figure
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