Betweenness centrality ≈ Betweenness centrality
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Identifying highly influential nodes in the complicated grief network. Open
The network approach to psychopathology conceptualizes mental disorders as networks of mutually reinforcing nodes (i.e., symptoms). Researchers adopting this approach have suggested that network topology can be used to identify influential…
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What do centrality measures measure in psychological networks? Open
Centrality indices are a popular tool to analyze structural aspects of psychological networks. As centrality indices were originally developed in the context of social networks, it is unclear to what extent these indices are suitable in a …
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COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data Open
Background Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspir…
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Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network Open
Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory.In perspective of social network, individuals, organizations, companies etc. are like nodes in t…
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The effect of social networks structure on innovation performance: A review and directions for research Open
Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critic…
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Consistency and differences between centrality measures across distinct classes of networks Open
The roles of different nodes within a network are often understood through centrality analysis, which aims to quantify the capacity of a node to influence, or be influenced by, other nodes via its connection topology. Many different centra…
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A Critical Review of Robustness in Power Grids Using Complex Networks Concepts Open
This paper reviews the most relevant works that have investigated robustness in power grids using Complex Networks (CN) concepts. In this broad field there are two different approaches. The first one is based solely on topological concepts…
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Problems with Centrality Measures in Psychopathology Symptom Networks: Why Network Psychometrics Cannot Escape Psychometric Theory Open
Understanding patterns of symptom co-occurrence is one of the most difficult challenges in psychopathology research. Do symptoms co-occur because of a latent factor, or might they directly and causally influence one another? Motivated by s…
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Growth and structure of authorship and co-authorship network in the strategic management realm: Evidence from the Strategic Management Journal Open
The main objective of this study is to investigate the intellectual structure and evolution of author collaborations from articles published in the Strategic Management Journal between 1980 and 2014. This assessment includes the general vi…
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Changes in network centrality of psychopathology symptoms between the COVID-19 outbreak and after peak Open
The current study investigated the mechanism and changes in psychopathology symptoms throughout the COVID-19 outbreak and after peak. Two studies were conducted separately in China during outbreak and the after peak stages, with 2540 parti…
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A systematic survey of centrality measures for protein-protein interaction networks Open
The choice of a suitable set of centrality measures is crucial for inferring important functional properties of a network. We concluded that undertaking data reduction using unsupervised machine learning methods helps to choose appropriate…
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Botnet detection using graph-based feature clustering Open
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-by-day, and most of the existin…
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Role of centrality for the identification of influential spreaders in complex networks Open
The identification of the most influential spreaders in networks is important to control and understand the spreading capabilities of the system as well as to ensure an efficient information diffusion such as in rumorlike dynamics. Recent …
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Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder Open
Major depressive disorder (MDD) is a complex mood disorder characterized by persistent and overwhelming depression. Previous studies have identified abnormalities in large scale functional brain networks in MDD, yet most of them were based…
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Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China Open
Rail transit is developing rapidly in major cities of China and has become a key component of urban transport. Nevertheless, the security and reliability in operation are significant issues that cannot be neglected. In this paper, the netw…
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Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study Open
There are large health, societal, and economic costs associated with attrition from psychological services. The recently emerged, innovative statistical tool of complex network analysis was used in the present proof-of-concept study to imp…
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Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer Open
Machine Learning has found application in solving complex problems in different fields of human endeavors such as intelligent gaming, automated transportation, cyborg technology, environmental protection, enhanced health care, innovation i…
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Network, knowledge and relationship impacts on innovation in tourism destinations Open
We combine network structure and firm-level relationship measures to explore the association between innovative behavior, firm position within the network of a destination, and the knowledge and relational trust characteristics of a firm's…
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The interplay among psychopathology, personal resources, context‐related factors and real‐life functioning in schizophrenia: stability in relationships after 4 years and differences in network structure between recovered and non‐recovered patients Open
Improving real‐life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses previously explored, by using network analysis, the interplay a…
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Topological measures for identifying and predicting the spread of complex contagions Open
The standard measure of distance in social networks – average shortest path length – assumes a model of “simple” contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomen…
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Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study Open
Objective Medial temporal lobe epilepsy (TLE) is the most common form of medication‐resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than one‐third of patients continue to have disabling seizures post…
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Resistant Microbial Cooccurrence Patterns Inferred by Network Topology Open
Although complex cooccurrence patterns have been described for microbes in natural communities, these patterns have scarcely been interpreted in the context of ecosystem functioning and stability. Here we constructed networks from species …
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Limits of space syntax for urban design: Axiality, scale and sinuosity Open
Space syntax analysis of the city as a movement economy has made major contributions to our understanding of the spatial structure of cities, particularly the importance of a mapping of network integration in relation to density, functiona…
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Success of Anomia Treatment in Aphasia Is Associated With Preserved Architecture of Global and Left Temporal Lobe Structural Networks Open
Background and Objective. Targeted speech therapy can lead to substantial naming improvement in some subjects with anomia following dominant-hemisphere stroke. We investigated whether treatment-induced improvement in naming is associated w…
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Combining network topology and information theory to construct representative brain networks Open
Network neuroscience employs graph theory to investigate the human brain as a complex network, and derive generalizable insights about the brain’s network properties. However, graph-theoretical results obtained from network construction pi…
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Complex network theory, streamflow, and hydrometric monitoring system design Open
Network theory is applied to an array of streamflow gauges located in the Coast Mountains of British Columbia (BC) and Yukon, Canada. The goal of the analysis is to assess whether insights from this branch of mathematical graph theory can …
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Conflict Structures in Family Networks of Older Adults and Their Relationship With Health-Related Quality of Life Open
This study explores the interrelationships between health-related quality of life and conflict structures in family networks of older adults. Data were derived from a sample of 2,858 elders (aged 65 years and older) from the Vivre/Leben/Vi…
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Hunter-Gatherer Social Networks and Reproductive Success Open
Individuals’ centrality in their social network (who they and their social ties are connected to) has been associated with fertility, longevity, disease and information transmission in a range of taxa. Here, we present the first exploratio…
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Quantitative methods of identifying the key nodes in the illegal wildlife trade network Open
Significance Despite advances in technology and general descriptive work, current approaches at reducing the illegal wildlife trade are failing. We take a more analytical approach to identify the key countries involved in the illegal wildl…
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Exploring supplier–supplier innovations within the Toyota supply network: A supply network perspective Open
This article investigates the development of supplier–supplier innovations that occur when two firms that are part of the same supply network co‐patent a new product. This study unravels how the structure of the supply network influences e…