Results 41 to 50 of about 7,824,399 (323)
A similarity-based community detection method with multiple prototype representation [PDF]
Communities are of great importance for understanding graph structures in social networks. Some existing community detection algorithms use a single prototype to represent each group.
Martin, Arnaud, Pan, Quan, Zhou, Kuang
core +4 more sources
Biochemia Medica indexed in PubMed Central (PMC) [PDF]
As announced in the last journal issue (1), with great pleasure we wish to inform you that Biochemia Medica has just been accepted for indexing in PubMed Central (PMC) journal database (http://www.ncbi.nlm.nih.gov/pmc/). All articles starting from 2012;22(3) are now available as free PMC articles and can be accessed directly at PMC.
openaire +2 more sources
Background and Aim: The healthcare sector plays an important role in the development of communities by ensuring the health of individuals in each community and can have many social and economic effects on the lives of individuals in the community.
Mohammad Reza Shahraki, Motahare Fallah
doaj
Coverage centralities for temporal networks
Structure of real networked systems, such as social relationship, can be modeled as temporal networks in which each edge appears only at the prescribed time.
Takaguchi, Taro +2 more
core +1 more source
The H-index of a network node and its relation to degree and coreness [PDF]
Identifying influential nodes in dynamical processes is crucial in understanding network structure and function. Degree, H-index and coreness are widely used metrics, but previously treated as unrelated.
Lue, Linyuan +3 more
core +2 more sources
A bio-inspired methodology of identifying influential nodes in complex networks.
How to identify influential nodes is a key issue in complex networks. The degree centrality is simple, but is incapable to reflect the global characteristics of networks.
Cai Gao +3 more
doaj +1 more source
Load distribution in small world networks
In this paper we introduce a new model of data packet transport, based on a stochastic approach with the aim of characterizing the load distribution on complex networks.
di Bernardo, M. +3 more
core +1 more source
Correlation between centrality metrics and their application to the opinion model [PDF]
In recent decades, a number of centrality metrics describing network properties of nodes have been proposed to rank the importance of nodes. In order to understand the correlations between centrality metrics and to approximate a high-complexity ...
A. Jamakovic +39 more
core +2 more sources
Central indexes to the citation distribution: a complement to the h-index [PDF]
23 pages, 3 tables and 6 ...
Dorta González, Pablo +1 more
openaire +4 more sources
Clustering Networks’ Heterogeneous Data in Defining a Comprehensive Closeness Centrality Index
One of the most important applications of network analysis is detecting community structure, or clustering. Nearly all algorithms that are used to identify these structures use information derived from the topology of these networks, such as adjacency ...
F. Barzinpour +3 more
semanticscholar +1 more source

