Randomly Indexed Central Order Statistics [PDF]
In our paper from 2012 we have considered the upper order statistics with central rank of sample with deterministic size. Here we investigate the asymptotic behaviour of randomly indexed upper order statistics using regular norming time-space changes.
Aneta Gacovska, Elisaveta I. Pancheva
openaire +1 more source
Combining centrality indices: Maximizing the predictability of keystone species in food webs
Network analysis offers a rich toolkit to study various graph models in biology. In ecology, centrality indices have been suggested to indicate keystone species in interaction networks and to quantify their importance in an ecosystem.
Catarina Gouveia +2 more
doaj +1 more source
Accounting for the Role of Long Walks on Networks via a New Matrix Function [PDF]
We introduce a new matrix function for studying graphs and real-world networks based on a double-factorial penalization of walks between nodes in a graph. This new matrix function is based on the matrix error function.
Estrada, Ernesto, Silver, Grant
core +2 more sources
Term-Specific Eigenvector-Centrality in Multi-Relation Networks [PDF]
Fuzzy matching and ranking are two information retrieval techniques widely used in web search. Their application to structured data, however, remains an open problem.
Bry, François +3 more
core +2 more sources
Graphical Classification in Multi-Centrality-Index Diagrams for Complex Chemical Networks
Various sizes of chemical reaction network exist, from small graphs of linear networks with several inorganic species to huge complex networks composed of protein reactions or metabolic systems.
Y. Mizui +3 more
semanticscholar +1 more source
Resistance distance, information centrality, node vulnerability and vibrations in complex networks [PDF]
We discuss three seemingly unrelated quantities that have been introduced in different fields of science for complex networks. The three quantities are the resistance distance, the information centrality and the node displacement.
A.A. Dobrynin +35 more
core +1 more source
Continuous-time quantum walk based centrality testing on weighted graphs
Centrality measure is an essential tool in network analysis and widely used in the domain of computer science, biology and sociology. Taking advantage of the speedup offered by quantum computation, various quantum centrality measures have been proposed ...
Yang Wang +3 more
doaj +1 more source
Structural patterns in complex networks through spectral analysis [PDF]
The study of some structural properties of networks is introduced from a graph spectral perspective. First, subgraph centrality of nodes is defined and used to classify essential proteins in a proteomic map.
Estrada, Ernesto
core +1 more source
How are new citation-based journal indicators adding to the bibliometric toolbox? [PDF]
The launching of Scopus and Google Scholar, and methodological developments in Social Network Analysis have made many more indicators for evaluating journals available than the traditional Impact Factor, Cited Half-life, and Immediacy Index of the ISI ...
Leydesdorff, Loet
core +3 more sources
Cyber-physical component ranking for risk sensitivity analysis using betweenness centrality
This article proposes a model for critical component ranking in power system risk analysis using a proposed cyber-physical betweenness centrality (CPBC) index. Risk assessment, as part of the contingency analysis, is a critical activity that can identify
A. Umunnakwe +4 more
semanticscholar +1 more source

