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This paper is withdrawn because the results in the paper are included in a paper to be published in Mathematical and Computer Modelling.

Classical Analysis and ODEs · Mathematics 2011-05-02 Huseyin Cakalli

Different classes of communication network topologies and their representation in the form of adjacency matrix and its eigenvalues are presented. A self-organizing feature map neural network is used to map different classes of communication…

Neural and Evolutionary Computing · Computer Science 2007-05-23 W. Ali , R. J. Mondragon , F. Alavi

The distance matrix of a connected graph is the symmetric matrix with columns and rows indexed by the vertices and entries that are the pairwise distances between the corresponding vertices. We give a construction for graphs which differ in…

Combinatorics · Mathematics 2016-06-23 Kristin Heysse

This paper has been withdrawn by the author to comply with the journal policy to which it has been submitted.

Statistical Mechanics · Physics 2008-03-15 Sacha Jon Mooney , Dean Korosak

A fundamental problem in the study of complex networks is to provide quantitative measures of correlation and information flow between different parts of a system. To this end, several notions of communicability have been introduced and…

Physics and Society · Physics 2015-04-08 Ernesto Estrada , Naomichi Hatano , Michele Benzi

The spectral properties of the adjacency (connectivity) and distance matrix for various types of networks: exponential, scale-free (Albert--Barabasi) and classical random ones (Erdos--Renyi) are evaluated. The graph spectra for dense graph…

Disordered Systems and Neural Networks · Physics 2008-07-03 K. Malarz

Recently, the first author proposed a measure to calculate Pearson correlations for node values expressed in a network, by taking into account distances or metrics defined on the network. In this technical note, we show that using an…

Social and Information Networks · Computer Science 2024-02-16 Michele Coscia , Karel Devriendt

We employ the mathematical programming approach in conjunction with the graph theory to study the structure of correspondent banking networks. Optimizing the network requires decisions to be made to onboard, terminate or restrict the bank…

Machine Learning · Computer Science 2019-12-09 Nima Safaei , Ivan A. Sergienko

In this paper we propose methodology for inference of binary-valued adjacency matrices from various measures of the strength of association between pairs of network nodes, or more generally pairs of variables. This strength of association…

Applications · Statistics 2016-05-16 Thomas E. Bartlett

In this article we discuss a data structure, which combines advantages of two different ways for representing graphs: adjacency matrix and collection of adjacency lists. This data structure can fast add and search edges (advantages of…

Data Structures and Algorithms · Computer Science 2009-08-24 Maxim A. Kolosovskiy

Connectivity and controllability of a complex network are two important issues that guarantee a networked system to function. Robustness of connectivity and controllability guarantees the system to function properly and stably under various…

Systems and Control · Electrical Eng. & Systems 2022-10-04 Chengpei Wu , Yang Lou , Ruizi Wu , Wenwen Liu , Junli Li

Finding the important nodes in complex networks by topological structure is of great significance to network invulnerability. Several centrality measures have been proposed recently to evaluate the performance of nodes based on their…

Social and Information Networks · Computer Science 2021-02-23 Pengli Lu , Chen Dong , Yuhong Guo

This paper has been withdrawn by the author due to error in equation (46).

Strongly Correlated Electrons · Physics 2012-11-07 Hua Zhao

A simple but efficient spectral approach for analyzing the community structure of complex networks is introduced. It works the same way for all types of networks, by spectrally splitting the adjacency matrix into a "unipartite" and a…

Physics and Society · Physics 2016-02-05 Bogdan Danila

This paper has been withdrawn by the author due to its publication

Optimization and Control · Mathematics 2007-09-18 Jiawang Nie

Matrix functions play an important role in applied mathematics. In network analysis, in particular, the exponential of the adjacency matrix associated with a network provides valuable information about connectivity, as well as about the…

Numerical Analysis · Mathematics 2020-09-08 Mohammed Al Mugahwi , Omar De la Cruz Cabrera , Silvia Noschese , Lothar Reichel

Graph construction, a fundamental operation in a data processing pipeline, is typically done by multiplying the incidence array representations of a graph, $\mathbf{E}_\mathrm{in}$ and $\mathbf{E}_\mathrm{out}$, to produce an adjacency…

Data Structures and Algorithms · Computer Science 2017-09-19 Hayden Jananthan , Karia Dibert , Jeremy Kepner

We propose a novel measure to assess the presence of meso-scale structures in complex networks. This measure is based on the identification of regular patterns in the adjacency matrix of the network, and on the calculation of the quantity…

Physics and Society · Physics 2015-06-18 Massimiliano Zanin , Pedro A. Sousa , Ernestina Menasalvas

Wireless communication can be simply subjected to malicious attacks due to its open nature and shared medium. Detecting jamming attacks is the first and necessary step to adopt the anti-jamming strategies. This paper presents novel…

Information Theory · Computer Science 2025-09-16 Amir Mehrabian , Georges Kaddoum

In this paper a new fast algorithm for the computation of the distance of a matrix to a nearby defective matrix is presented. The problem is formulated following Alam & Bora (Linear Algebra Appl., 396 (2005), pp.~273--301) and reduces to…

Numerical Analysis · Mathematics 2012-11-05 Melina A. Freitag , Alastair Spence