SearcharxivSearch

arXiv · cond-mat/0112049

Gradually Truncated Power law distribution - Citation of scientists

Abstract

Gradually Truncated Power law distribution - Citation of scientists Hari M. Gupta, Jose R. Campanha and Bianca A. Ferrari Unesp - Physics Dpto. - Rio Claro Sao Paulo - Brazil Abstract The number of times, a scientist is cited in other scientific publications is now an important factor in his merit consideration. Normally citation indices of highly cited scientists are available, which in turn give information only about the dynamics of the citation mechanism of this group. In the present work, we studied the statistical distribution of the citation index of Brazilian scientists working in diverse areas, through Zipf-plot technique. As it is a small sub-group within the scientific community, it can better explain the dynamics of citation index. We find that gradually truncated power law distribution can explain well citation index. The distribution of citation of most cited physicist can also be well explained. We develop a model of citation, based on positive feedback, i.e. highly cited scientist, would get better financial help, and more students, which in turn help to form a large group working in the same topic and paper is cited more times. The limiting factor comes because of limited number of articles which can be published in a particular sub-area due to limited number of scientific journal, where the article can be cited.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hari M. Gupta, Jose R. Campanha, Bianca A. Ferrari. 2001-12-04. Gradually Truncated Power law distribution - Citation of scientists. https://arxiv.org/abs/cond-mat/0112049

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Universal sampling of spin systems across quenched disorder

Statistical physics extracts macroscopic laws by averaging over the many microscopic degrees of freedom of a system. Disordered systems demand a second and far harder average, one over the quenched randomness itself. The classic analytical routes, the replica and cavity methods, become uncontrolled outside mean-field or tree-like limits, and conventional numerical algorithms like parallel tempering require expensive, independent equilibration for every disorder realization. In this work, we introduce a universal neural variational framework that amortizes inference across the disorder ensemble, eliminating both the need for per-instance Markov chain equilibration and the cost of retraining instance-specific variational ansatzes. Built on an encoder-decoder Transformer architecture, after training once, it produces an explicit approximation to the Boltzmann distribution given previously unseen disorder realizations without further optimization. We validate this framework on 2D Edwards-Anderson models, and apply it to the random-bond Ising model, successfully capturing the Binder cumulant crossings near the Nishimori multicritical point. These results shift the object of variational inference from the single instance to the disorder ensemble, opening a route to frustrated many-body systems where instance-by-instance computation is prohibitive.

cond-mat.stat-mech

Information-Theoretic Characterization of Macroscopic Chaos Emerging from the Chemical Master Equation

Open chemical reaction networks exhibit stochastic concentration dynamics at finite system sizes, whereas their macroscopic limit is governed by deterministic rate equations that can display chaos. In this Letter, we show theoretically that a rate of information loss constructed from two-time mutual information recovers the Kolmogorov-Sinai entropy in the deterministic limit. We verify this result through numerical simulations of a Markov jump process for a three-species system involving seven reactions.

cond-mat.stat-mech

Orientational order on non-orientable domains

We study the statistical properties of passive and active many-body systems with orientational degrees of freedom on non-orientable domains. By rephrasing topological constraints as non-local symmetry relations on an orientable double-cover, we show that non-orientability eliminates global rotational soft modes without acting like an external field. In a passive XY model, this results in topological caging, where orientational fluctuations that exhibit conventional diffusive behavior on a torus saturate on a Klein bottle to a finite value that we compute exactly in the thermodynamic limit. In models of active self-propelled particles with orientational degrees of freedom, topological caging persists despite continuously changing interaction neighborhoods. In an active Ising spin model, non-orientability enforces the coexistence of ordered anti-parallel domains with vanishing global polar order, a state that is absent on orientable domains.

cond-mat.stat-mech