Results 61 to 70 of about 3,295,261 (308)
A Review on Transportation Network based on Complex Network Approach [PDF]
Complex network theory is being widely used to study many real-life systems. One of the fields that can benefit from complex network theory approach is transportation network. In this paper, we briefly review the complex network theory method assimilated into transportation network research and the analysis it provided.
arxiv
Mapping and discrimination of networks in the complexity-entropy plane [PDF]
Complex networks are usually characterized in terms of their topological, spatial, or information-theoretic properties and combinations of the associated metrics are used to discriminate networks into different classes or categories. However, even with the present variety of characteristics at hand it still remains a subject of current research to ...
arxiv +1 more source
A new information dimension of complex networks [PDF]
The fractal and self-similarity properties are revealed in many real complex networks. However, the classical information dimension of complex networks is not practical for real complex networks. In this paper, a new information dimension to characterize the dimension of complex networks is proposed.
arxiv +1 more source
In light of policies and programs designed to address the domination of academic positions by male, frequently white individuals, we review the participation of women, one of multiple minority identities within the academy, in Aotearoa New Zealand’s ...
Leilani Walker+4 more
doaj +1 more source
Structural constraints in complex networks [PDF]
We present a link rewiring mechanism to produce surrogates of a network where both the degree distribution and the rich--club connectivity are preserved.
+14 more
core +3 more sources
Network-based in silico drug efficacy screening
Attempts to predict novel use for existing drugs rarely consider information on the impact on the genes perturbed in a given disease. Here, the authors present a novel network-based drug-disease proximity measure that provides insight on gene specific ...
Emre Guney+3 more
doaj +1 more source
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques
Background: fMRI data is inherently high-dimensional and difficult to visualize. A recent trend has been to find spaces of lower dimensionality where functional brain networks can be projected onto manifolds as individual data points, leading to new ways
Ramon Casanova+10 more
doaj +1 more source
This chapter contains a brief introduction to complex networks, and in particular to small world and scale free networks. We show how to apply the replica method developed to analyse random matrices in statistical physics to calculate the spectral ...
Nagao, T, Rodgers, GJ
core
Complex networks theory for analyzing metabolic networks
One of the main tasks of post-genomic informatics is to systematically investigate all molecules and their interactions within a living cell so as to understand how these molecules and the interactions between them relate to the function of the organism,
A. B. Horne+50 more
core +1 more source
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta+3 more
wiley +1 more source