Results 61 to 70 of about 54,974 (279)

Scale-free trees: the skeletons of complex networks

, 2004
We investigate the properties of the spanning trees of various real-world and model networks. The spanning tree representing the communication kernel of the original network is determined by maximizing total weight of edges, whose weights are given by ...
Dong-Hee Kim, H. Jeong, Hawoong Jeong, Jae Dong Noh, P. Erdös   +4 more
core   +1 more source

SkelPy: A graphic user interface–based approach for skeletonizing fungal networks

Applications in Plant Sciences, EarlyView.
Abstract Premise Traditional methods to quantify mycelial growth rely on destructive sampling to quantify biomass. Moreover, these approaches limit continuous observation and require a sufficient mass to measure. Recent work examines hyphal network traits by reconstructing the hyphal network from spatial coordinates via images, providing information ...
Melanie Madrigal, Aaron J. Moseley, Jenna C. Moseley, Jordan A. Dowell   +3 more
wiley   +1 more source

Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking

IEEE Access
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Mondikathi Chiranjeevi, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi   +4 more
doaj   +1 more source

Attack vulnerability of complex networks

, 2002
We study the response of complex networks subject to attacks on vertices and edges. Several existing complex network models as well as real-world networks of scientific collaborations and Internet traffic are numerically investigated, and the network ...
Han, Seung Kee, Holme, Petter, Kim, Beom Jun, Yoon, Chang No   +3 more
core   +1 more source

Betweenness Centrality in Graphs

, 2014
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques ...
Gago Álvarez, Silvia, Coronicová Hurajová, Jana, Madaras, Tomas   +2 more
openaire   +4 more sources

Young people's occupational aspirations beyond the aspiration discourse: A sociocultural perspective

British Educational Research Journal, EarlyView.
Abstract Young people's aspirations have been the focus of many educational, sociological and psychological studies. This paper argues, firstly, that the concept of aspirations holds greater generative potential than suggested by the policy‐oriented ‘aspiration discourse’.
Jelena Popov
wiley   +1 more source

Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networks. [PDF]

PLoS ONE, 2013
A number of centrality measures are available to determine the relative importance of a node in a complex network, and betweenness is prominent among them.
Mahendra Piraveenan, Mikhail Prokopenko, Liaquat Hossain   +2 more
doaj   +1 more source

Towards identifying influential nodes in complex networks using semi-local centrality metrics

Journal of King Saud University: Computer and Information Sciences, 2023
The influence of the node refers to the ability of the node to disseminate information. The faster and wider the node spreads, the greater its influence. There are many classical topological metrics that can be used to evaluate the influencing ability of
Kun Zhang, Yu Zhou, Haixia Long, Chaoyang Wang, Haizhuang Hong, Seyed Mostafa Armaghan   +5 more
doaj   +1 more source

Local Edge Betweenness based Label Propagation for Community Detection in Complex Networks

, 2017
Nowadays, identification and detection community structures in complex networks is an important factor in extracting useful information from networks.
Bagheri, Alireza, Shahrivari, Hamid
core   +1 more source

Sharing data between LSDBs and central repositories [PDF]

Human Mutation, 2009
Several Locus-Specific DataBases (LSDBs) have recently been approached by larger, more general data repositories (including NCBI and UCSC) with the request to share the DNA variant data they have collected. Within the Human Genome Variation Society (HGVS) a document was generated summarizing the issues related to these requests.
den Dunnen, Johan T., Sijmons, Rolf H., Andersen, Paal S., Vihinen, Mauno, Beckmann, Jacques S., Rossetti, Sandro, Talbot, C. Conover, Hardison, Ross C., Povey, Sue, Cotton, Richard G. H.   +9 more
openaire   +2 more sources