Cluster Coefficient in the Spatial Preferred Connection Model

2018 ◽  
Vol 481 (1) ◽  
pp. 10-13
Author(s):  
Lenar Iskhakov ◽  
◽  
Bogumil Kaminski ◽  
Maksim Mironov ◽  
Pawel Pralat ◽  
...  
Keyword(s):  
2021 ◽  
pp. 155005942110514
Author(s):  
Muhammad A. Hasan ◽  
Parisa Sattar ◽  
Saad A. Qazi ◽  
Matthew Fraser ◽  
Aleksandra Vuckovic

Background. Neuropathic pain (NP) following spinal cord injury (SCI) affects the quality of life of almost 40% of the injured population. The modified brain connectivity was reported under different NP conditions. Therefore, brain connectivity was studied in the SCI population with and without NP with the aim to identify networks that are altered due to injury, pain, or both. Methods. The study cohort is classified into 3 groups, SCI patients with NP, SCI patients without NP, and able-bodied. EEG of each participant was recorded during motor imagery (MI) of paralyzed and painful, and nonparalyzed and nonpainful limbs. Phased locked value was calculated using Hilbert transform to study altered functional connectivity between different regions. Results. The posterior region connectivity with frontal, fronto-central, and temporal regions is strongly decreased mainly during MI of dominant upper limb (nonparalyzed and nonpainful limbs) in SCI no pain group. This modified connectivity is prominent in the alpha and high-frequency bands (beta and gamma). Moreover, oscillatory modified global connectivity is observed in the pain group during MI of painful and paralyzed limb which is more evident between fronto-posterior, frontocentral-posterior, and within posterior and within frontal regions in the theta and SMR frequency bands. Cluster coefficient and local efficiency values are reduced in patients with no reported pain group while increased in the PWP group. Conclusion. The altered theta band connectivity found in the fronto-parietal network along with a global increase in local efficiency is a consequence of pain only, while altered connectivity in the beta and gamma bands along with a decrease in cluster coefficient values observed in the sensory-motor network is dominantly a consequence of injury only. The outcomes of this study may be used as a potential diagnostic biomarker for the NP. Further, the expected insight holds great clinical relevance in the design of neurofeedback-based neurorehabilitation and connectivity-based brain–computer interfaces for SCI patients.


2020 ◽  
Vol 29 (1) ◽  
pp. 70-83
Author(s):  
Mehrzad Abdi Khalife ◽  
Anna Dunay ◽  
Csaba Bálint Illés

Project management, as a subsidiary of social science, is a vast and varied topic of the area of knowledge. In the past decades, many studies have compiled an immense amount of information for theoreticians and practitioners in this field. In this paper, traditional and novel methods of bibliometric analysis are introduced through a survey for analyzing the history of research in project management. This study focuses on the last four decades of publications on project management, from 1980 to 2019. In the survey, the number of publications, the countries of publication, the cooperating relations among those countries, and the top categories of publications are analyzed. The extraction of publication keywords and the investigation of knowledge seeds are also presented. In the survey, the examination of the network of top occurring keywords, keyword clustering, together with the keyword correlation matrix, were used to explore the main trends in project management. A novel indicator, called the ICCO ranking, is presented by using the degree, betweenness and cluster coefficient of the network of keywords. Using this indicator, the potential knowledge seeds in project management may be identified.


2016 ◽  
Vol 374 ◽  
pp. 291-313 ◽  
Author(s):  
Sigurd Yves Larsen ◽  
Monique Lassaut ◽  
Alejandro Amaya-Tapia

2013 ◽  
Vol 3 (4) ◽  
pp. 925-938 ◽  
Author(s):  
Yue Wang ◽  
Xintao Wu ◽  
Jun Zhu ◽  
Yang Xiang
Keyword(s):  

2013 ◽  
Vol 16 (5) ◽  
pp. 962-969 ◽  
Author(s):  
Nienke M. Schutte ◽  
Narelle K. Hansell ◽  
Eco J. C. de Geus ◽  
Nicholas G. Martin ◽  
Margaret J. Wright ◽  
...  

We examined the genetic architecture of functional brain connectivity measures in resting state electroencephalographic (EEG) recordings. Previous studies in Dutch twins have suggested that genetic factors are a main source of variance in functional brain connectivity derived from EEG recordings. In addition, qualitative descriptors of the brain network derived from graph analysis — network clustering and average path length — are also heritable traits. Here we replicated previous findings for connectivity, quantified by the synchronization likelihood, and the graph theoretical parameters cluster coefficient and path length in an Australian sample of 16-year-old twins (879) and their siblings (93). Modeling of monozygotic and dizygotic twins and sibling resemblance indicated heritability estimates of the synchronization likelihood (27–74%) and cluster coefficient and path length in the alpha and theta band (40–44% and 23–40% respectively) and path length in the beta band frequency (41%). This corroborates synchronization likelihood and its graph theoretical derivatives cluster coefficient and path length as potential endophenotypes for behavioral traits and neurological disorders.


1993 ◽  
Vol 08 (34) ◽  
pp. 3291-3299 ◽  
Author(s):  
R. EMPARAN ◽  
M.A. VALLE BASAGOITI

We calculate the perturbative correction to every cluster coefficient of a gas of anyons through second order in the anyon coupling constant, as described by Chern-Simons field theory.


Sign in / Sign up

Export Citation Format

Share Document