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Articoli di riviste sul tema "Centrality indexes"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 4 febbraio 2022

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1

Wan, Xiaole, Zhen Zhang, Chi Zhang, and Qingchun Meng. "Stock Market Temporal Complex Networks Construction, Robustness Analysis, and Systematic Risk Identification: A Case of CSI 300 Index." Complexity 2020 (July 15, 2020): 1–19. http://dx.doi.org/10.1155/2020/7195494.

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The Chinese stock 300 index (CSI 300) is widely accepted as an overall reflection of the general movements and trends of the Chinese A-share markets. Among the methodologies used in stock market research, the complex network as the extension of graph theory presents an edged tool for analyzing internal structure and dynamic involutions. So, the stock data of the CSI 300 were chosen and divided into two time series, prepared for analysis via network theory. After stationary test and coefficients calculated for daily amplitudes of stock, two “year-round” complex networks were constructed, respec

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You, Lu, Pan Zhiyuan, and Xu Wei. "Robustness Evaluation Strategy of Ubiquitous Power Internet of Things Based on Important Node Recognition." E3S Web of Conferences 136 (2019): 01011. http://dx.doi.org/10.1051/e3sconf/201913601011.

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This paper analyses the structure and characteristics of ubiquitous power Internet of things (UP-IoT) from four levels: the perception layer, network layer, platform layer and application layer. The robustness of UP-IoT is defined from the perspective of system structure, and the internal and external disturbance factors of robustness are analysed. According to the scale-free characteristics of complex network, a robustness evaluation strategy for UP-IoT based on identification of important nodes is proposed. A set of robustness evaluation indexes, including degree centrality, betweenness cent

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Dias, Alexandre, Sidarta Ruthes, Leonardo Lima, et al. "Network centrality analysis in management and accounting sciences." RAUSP Management Journal 55, no. 2 (2019): 207–26. http://dx.doi.org/10.1108/rausp-02-2019-0021.

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Purpose This study aims to analyze how gender, research experience and geography are related to the researchers’ importance in the co-authorship network on management and accounting in Brazil. Design/methodology/approach A social network based on the co-authorship relationships in the papers published in leading Brazilian journals was examined using a logit model to estimate the probability of occupying prevailing positions. Findings The findings showed a network with a high level of fragmentation and a scarcity of authors serving as gatekeepers. Based on the number of directed links and colla

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Troussov, Alexander, František Dařena, Jan Žižka, Denis Parra, and Peter Brusilovsky. "Vectorised Spreading Activation algorithm for centrality measurement." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 7 (2011): 469–76. http://dx.doi.org/10.11118/actaun201159070469.

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Spreading Activation is a family of graph-based algorithms widely used in areas such as information retrieval, epidemic models, and recommender systems. In this paper we introduce a novel Spreading Activation (SA) method that we call Vectorised Spreading Activation (VSA). VSA algorithms, like “traditional” SA algorithms, iteratively propagate the activation from the initially activated set of nodes to the other nodes in a network through outward links. The level of the node’s activation could be used as a centrality measurement in accordance with dynamic model-based view of centrality that foc

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Koubiyr, Ismail, Mathilde Deloire, Pierre Besson, et al. "Longitudinal study of functional brain network reorganization in clinically isolated syndrome." Multiple Sclerosis Journal 26, no. 2 (2018): 188–200. http://dx.doi.org/10.1177/1352458518813108.

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Background: There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS). Objective: This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease. Methods: We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for ea

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Scardoni, Giovanni, Gabriele Tosadori, Mohammed Faizan, Fausto Spoto, Franco Fabbri, and Carlo Laudanna. "Biological network analysis with CentiScaPe: centralities and experimental dataset integration." F1000Research 3 (July 7, 2015): 139. http://dx.doi.org/10.12688/f1000research.4477.2.

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The growing dimension and complexity of the available experimental data generating biological networks have increased the need for tools that help in categorizing nodes by their topological relevance. Here we present CentiScaPe, a Cytoscape app specifically designed to calculate centrality indexes used for the identification of the most important nodes in a network. CentiScaPe is a comprehensive suite of algorithms dedicated to network nodes centrality analysis, computing several centralities for undirected, directed and weighted networks. The results of the topological analysis can be integra

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Yang, Yibo, Honglin Zhao, Jinlong Ma, Zhaohui Qi, and Yongbin Zhao. "An optimal routing strategy on scale-free networks." International Journal of Modern Physics C 28, no. 07 (2017): 1750087. http://dx.doi.org/10.1142/s0129183117500875.

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Traffic is one of the most fundamental dynamical processes in networked systems. With the traditional shortest path routing (SPR) protocol, traffic congestion is likely to occur on the hub nodes on scale-free networks. In this paper, we propose an improved optimal routing (IOR) strategy which is based on the betweenness centrality and the degree centrality of nodes in the scale-free networks. With the proposed strategy, the routing paths can accurately bypass hub nodes in the network to enhance the transport efficiency. Simulation results show that the traffic capacity as well as some other in

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Scardoni, Giovanni, Gabriele Tosadori, Mohammed Faizan, Fausto Spoto, Franco Fabbri, and Carlo Laudanna. "Biological network analysis with CentiScaPe: centralities and experimental dataset integration." F1000Research 3 (July 1, 2014): 139. http://dx.doi.org/10.12688/f1000research.4477.1.

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The growing dimension and complexity of available experimental data generating biological networks has increased the need for tools allowing to categorize nodes by their topological relevance in biological networks. Here we present CentiScaPe, a Cytoscape app specifically designed to calculate centrality indexes for the identification of the most important nodes of a network. CentiScaPe is a comprehensive suite of algorithms dedicated to network nodes centrality analysis, computing several centralities for undirected, directed and weighted networks. The results of the topological analysis can

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Liu, Hui. "Study on Enterprise Network Based on B2B Website Platform." Applied Mechanics and Materials 66-68 (July 2011): 973–77. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.973.

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A new type of enterprise network based on B2B website platform, which is expanding constantly, has appeared now. Such new enterprise network based on B2B website platform is different from traditional network in competition and cooperation among members, dynamics of enterprise network and scope of network. An enterprise joins a B2B website platform in order to complement each other’s advantages and create competitiveness. According to the basic features of B2B platforms, we selected 4 indexes including correlativity, centrality, scope and stability of network to analyze the effect of B2B enter

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Kim, Sun-Duck, Tae-Young Seong, Dong-Min Lee, and Man-Hyung Lee. "Analysis of Network for Asian Cup Soccer Final based on Social Network Theory: Based on Centrality Indexes." Journal of the Korea Contents Association 16, no. 5 (2016): 205–16. http://dx.doi.org/10.5392/jkca.2016.16.05.205.

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Esperandio, Mary Rute Gomes, Hartmut August, Juan José Camou Viacava, Stefan Huber, and Márcio Luiz Fernandes. "Brazilian Validation of Centrality of Religiosity Scale (CRS-10BR and CRS-5BR)." Religions 10, no. 9 (2019): 508. http://dx.doi.org/10.3390/rel10090508.

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The centrality of religiosity scale (CRS), available in three versions (with 5, 10 and 15 items), is a measuring instrument that identifies the central importance of religiosity in the psychological construction and in the behavior of an individual. According to the literature, five components together express the centrality of religion in life: Public practice, private practice, ideological, intellectual, and religious experience. These components are the ground on which religious constructs are formed and activated. For the validation of the scale in the Brazilian cultural context, two versi

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Ma, Zhi Xin, and Xuan Liu. "Evaluation and Statistical Analysis on the Centrality Indexes of Tourism Central City in the Central Liaoning Urban Clusters." Advanced Materials Research 171-172 (December 2010): 671–74. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.671.

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This paper took 8 tourism central cities in central Liaoning urban clusters as an example, chose 7 indicators to analyze the centrality indexes of the tourism destinations and study the development of regional tourism industry. It firstly made a principal component analysis, then used the extracted principal components as a new integrated variable, the principal component score matrix as the new integrated variable data to make a cluster analysis through the software SPSS. From the perspective of tourism planning, the paper finally determines to establish a system of tourism central cities: Sh

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Kim, Seong-Ho, Min-Woo Lee, Min-Jae Kang, Sung Gun Lee, Jung-Goo Lee, and Chi-Woong Mun. "Comparison Analysis between the Medication Efficacy of the Milnacipran and Functional Connectivity of Neural Networks in Fibromyalgia Patients." Brain Sciences 10, no. 5 (2020): 295. http://dx.doi.org/10.3390/brainsci10050295.

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Milnacipran is a reuptake inhibitor of both serotonin and noradrenaline, used in the treatment of fibromyalgia with severe depression. However, few studies have been conducted on the efficacies of milnacipran drug on the functional connectivity of the neural network. The authors aimed to find the correlation between the drug efficacy and the changes in neural network in fibromyalgia patients. Resting-state-functional magnetic resonance imaging (rs-fMRI) were obtained before and after milnacipran drug administration. Graph theory indexes and small-worldness were calculated using preprocessed bl

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Choi, Yong-Ho, Je-Yeon Yun, Bo-Hyun Kim, Min-Ho Lee, Sa-Kwang Song, and Jong-Min Lee. "Gender-Related and Hemispheric Effects in Cortical Thickness-Based Hemispheric Brain Morphological Network." BioMed Research International 2020 (August 11, 2020): 1–13. http://dx.doi.org/10.1155/2020/3560259.

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Objective. The current study examined gender-related differences in hemispheric asymmetries of graph metrics, calculated from a cortical thickness-based brain structural covariance network named hemispheric morphological network. Methods. Using the T1-weighted magnetic resonance imaging scans of 285 participants (150 females, 135 males) retrieved from the Human Connectome Project (HCP), hemispheric morphological networks were constructed per participant. In these hemispheric morphologic networks, the degree of similarity between two different brain regions in terms of the distributed patterns

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Mouronte-López, Mary Luz. "Modeling the Public Transport Networks: A Study of Their Efficiency." Complexity 2021 (August 13, 2021): 1–19. http://dx.doi.org/10.1155/2021/3280777.

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The public transportation network (PTN) provides mobility and access to community resources, employment, medical care, infrastructures, and other resources in the city. This research studies the process of the formation of links among nodes in different real-world PTNs. We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. In t

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Li, Zhigang, Yan Shi, and Shanzhi Chen. "Exploring the influence of human mobility on information spreading in mobile networks." International Journal of Modern Physics C 27, no. 06 (2016): 1650066. http://dx.doi.org/10.1142/s0129183116500662.

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In recent years, the dynamic spread of information has captured researchers’ attention. Therefore, identifying influential spreaders of information has become a fundamental element of information spreading research. Many studies have measured the influence of spreaders by considering the centrality indexes of network topology characteristics, such as degree, betweenness and closeness centrality. Additionally, some works have identified influential spreaders by analyzing human mobility characteristics such as contact frequency, contact time and inter-contact time. In this paper, we mainly explo

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Kryvobokov, Marko, and Louafi Bouzouina. "WILLINGNESS TO PAY FOR ACCESSIBILITY UNDER THE CONDITIONS OF RESIDENTIAL SEGREGATION." International Journal of Strategic Property Management 18, no. 2 (2014): 101–15. http://dx.doi.org/10.3846/1648715x.2013.864342.

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The hypothesis that different income groups have different willingness to pay for accessibility to the city centre is based on the standard monocentric model. This hypothesis is empirically tested with accessibility attributes in a hedonic model of apartment prices in the suburbs of the city of Lyon, France. The conditions of residential segregation are described, and apartment prices in the poor and the rich suburbs are analysed with regression techniques. Travel times to two urban centres are accounted for, as well as centrality and accessibility integral indexes. We found that in the select

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Abbott, Andrew. "Googles of the Past." Social Science History 37, no. 4 (2013): 427–55. http://dx.doi.org/10.1017/s0145553200011925.

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This article examines whether published keyword indexes to 22 British poets had any measurable effect on scholarly production related to those poets, mainly using quantitative output measures, since these are all that is available. It also draws on archival information about the individual concordances and their origins. The article tests whether concordances facilitated scholarship, or were a by-product/correlative of scholarship, or were unrelated to scholarship. The preponderance of the evidence leans toward the by-product hypothesis. More important, given the centrality of keyword indexing

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Kamola, Mariusz. "Sensitivity of Importance Metrics for Critical Digital Services Graph to Service Operators’ Self-Assessment Errors." Security and Communication Networks 2019 (September 23, 2019): 1–8. http://dx.doi.org/10.1155/2019/7510809.

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Interdependency of critical digital services can be modeled in the form of a graph with exactly known structure but with edge weights subject to estimation errors. We use standard and custom centrality indexes to measure each service vulnerability. Vulnerability of all nodes in the graph gets aggregated in a number of ways into a single network vulnerability index for services whose operation is critical for the state. This study compares sensitivity of various centralities combined with various aggregation methods to errors in edge weights reported by service operators. We find that many of t

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Dallas, Ioannis, Ioannis Ntoumanis, Francesca Karatza, and Georgios Ch. Makris. "Network analysis of countries’ partnership in European sports programs: Erasmus+ sport." International Journal of Advanced Statistics and Probability 8, no. 1 (2020): 5. http://dx.doi.org/10.14419/ijasp.v8i1.30329.

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In the present work, data analysis of Erasmus+ Sport programs was performed using Network Theory. Funding amounts and partner coun-tries per program are the information of the target data. Developing a Python-based program, a network of countries' partnerships has been developed to examine whether specific countries cooperate more frequently, and which countries participate in more Erasmus+ Sport pro-grams. Thus, some basic indicators of centrality from network theory were calculated, which are presented together with their mathematical interpretation.It has also been studied whether the numbe

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Cao, Hongduo, Tiantian Lin, Ying Li, and Hanyu Zhang. "Stock Price Pattern Prediction Based on Complex Network and Machine Learning." Complexity 2019 (May 28, 2019): 1–12. http://dx.doi.org/10.1155/2019/4132485.

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Complex networks in stock market and stock price volatility pattern prediction are the important issues in stock price research. Previous studies have used historical information regarding a single stock to predict the future trend of the stock’s price, seldom considering comovement among stocks in the same market. In this study, in order to extract the information about relation stocks for prediction, we try to combine the complex network method with machine learning to predict stock price patterns. Firstly, we propose a new pattern network construction method for multivariate stock time seri

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Zhang, Wang, Tang, and Dong. "An Optimization-Based Approach to Social Network Group Decision Making with an Application to Earthquake Shelter-Site Selection." International Journal of Environmental Research and Public Health 16, no. 15 (2019): 2740. http://dx.doi.org/10.3390/ijerph16152740.

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The social network has emerged as an essential component in group decision making (GDM) problems. Thus, this paper investigates the social network GDM (SNGDM) problem and assumes that decision makers offer their preferences utilizing additive preference relations (also called fuzzy preference relations). An optimization-based approach is devised to generate the weights of decision makers by combining two reliable resources: in-degree centrality indexes and consistency indexes. Based on the obtained weights of decision makers, the individual additive preference relations are aggregated into a c

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Carlo, Adami. "ECONOMIC INTELLIGENCE ANALYSIS WITHIN THE ITALIAN BANKING SYSTEM." Three Seas Economic Journal 1, no. 4 (2020): 1–8. http://dx.doi.org/10.30525/2661-5150/2020-4-1.

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The purpose of the present article is to explore and investigate on the nature of the web of relations of the main Italian banks, on the basis of the evolution of the career paths of their relative members of the Board of Directors. The practical implications of the study is associated with the fact that there is a stronger attention by the national and international financial authorities, such as the European Central Bank (ECB) and the National Competent Authorities (NCAs), about the governance in the banks and the theoretical background and practical abilities of the senior management to ass

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Jung, Woo-Jin, and Sang-Yong Tom Lee. "ICT R&D and Technology Knowledge Flows in Korea." Journal of Database Management 29, no. 4 (2018): 51–69. http://dx.doi.org/10.4018/jdm.2018100103.

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This study measured the R&D outcomes of Korea's firms by analyzing the changes and patterns of technology knowledge flows and tried to see whether the outcomes of ICT R&D were better than those of non-ICT R&D. Using the registered patent data from 2008 and 2009, the authors computed the technology cycle time (TCT) and various centrality indexes with social network analysis (SNA), a popular method in patent citation analyses (PCA). In particular, the authors developed a technology spillover network and industry absorption network for the SNA. Having done these analyses, this study a

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Safa, Ebrahim, and Arman Safa. "Economical Effects of Using Subway in the Reduction of Fuel Consumption." Applied Mechanics and Materials 90-93 (September 2011): 817–24. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.817.

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Abstract .Transportations one of the important indexes of air pollution in cities has always occurred in the form of a big Unavoidable problem. Lack of comprehensive approach and enough (Sufficient) attention toward transportation and traffic issues have unsparing social, economical and environmental costs and damages in the country which the most important of them are: high fuel consumption and growth of the fatal and injury crashes, air pollution and environmental damages. Among the public transportation networks, railway public transit is known as the healthiest, fastest, safest and general

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Huang, Shunsen, Xiaoxiong Lai, Ye Xue, Cai Zhang, and Yun Wang. "A network analysis of problematic smartphone use symptoms in a student sample." Journal of Behavioral Addictions 9, no. 4 (2021): 1032–43. http://dx.doi.org/10.1556/2006.2020.00098.

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AbstractBackground and aimsPrevious research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students.MethodsThis research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of

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Yang, Liu, Liu, Liu, and Gan. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model." Sustainability 11, no. 20 (2019): 5634. http://dx.doi.org/10.3390/su11205634.

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: Public transport accessibility (PTA) is an essential index for evaluating the efficiency of urban public transport resource and public service. Improving public transport accessibility is considered as the most effective way of alleviating urban congestion and promoting urban sustainability. PTA can be divided into three types, which are access to stations, accessibility of networks and access to activities. This paper focuses on evaluating access to public transport service at stations, considering walking time to stations and waiting time for services at stations. Numerous studies have bee

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Liu, Dong, Hao Nie, and Baowen Zhang. "A novel method for identifying influential nodes in complex networks based on multiple attributes." International Journal of Modern Physics B 32, no. 28 (2018): 1850307. http://dx.doi.org/10.1142/s0217979218503071.

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Identifying influential nodes is a crucial issue in epidemic spreading, controlling the propagation process of information and viral marketing. Thus, algorithms for exploring vital nodes have aroused more and more concern among researchers. Recently, scholars have proposed various types of algorithms based on different perspectives. However, each of these methods has their own strengths and weaknesses. In this work, we introduce a novel multiple attributes centrality for identifying significant nodes based on the node location and neighbor information attributes. We call our proposed method th

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Alonso, Monica, Jaime Turanzas, Hortensia Amaris, and Angel T. Ledo. "Cyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networks." Sensors 21, no. 17 (2021): 5826. http://dx.doi.org/10.3390/s21175826.

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In the last decade, the main attacks against smart grids have occurred in communication networks (ITs) causing the disconnection of physical equipment from power networks (OTs) and leading to electricity supply interruptions. To deal with the deficiencies presented in past studies, this paper addresses smart grids vulnerability assessment considering the smart grid as a cyber-physical heterogeneous interconnected system. The model of the cyber-physical system is composed of a physical power network model and the information and communication technology network model (ICT) both are interconnect

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García-Algarra, Javier, Juan Manuel Pastor, José María Iriondo, and Javier Galeano. "Ranking of critical species to preserve the functionality of mutualistic networks using the k-core decomposition." PeerJ 5 (May 18, 2017): e3321. http://dx.doi.org/10.7717/peerj.3321.

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Background Network analysis has become a relevant approach to analyze cascading species extinctions resulting from perturbations on mutualistic interactions as a result of environmental change. In this context, it is essential to be able to point out key species, whose stability would prevent cascading extinctions, and the consequent loss of ecosystem function. In this study, we aim to explain how the k-core decomposition sheds light on the understanding the robustness of bipartite mutualistic networks. Methods We defined three k-magnitudes based on the k-core decomposition: k-radius, k-degree

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Jiang, Guangyi, Chiung-Kuei Huang, Xinjie Zhang, et al. "Wnt signaling in liver disease: emerging trends from a bibliometric perspective." PeerJ 7 (June 21, 2019): e7073. http://dx.doi.org/10.7717/peerj.7073.

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Background The Wnt signaling pathway, an evolutionarily conserved molecular transduction cascade, has been identified as playing a pivotal role in various physiological and pathological processes of the liver, including homeostasis, regeneration, cirrhosis, and hepatocellular carcinoma (HCC). In this study, we aimed to use a bibliometric method to evaluate the emerging trends on Wnt signaling in liver diseases. Methods Articles were retrieved from the Web of Science Core Collection. We used a bibliometric software, CiteSpace V 5.3.R4, to analyze the active countries or institutions in the rese

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Kashihara, Jun, Yoshitake Takebayashi, Yoshihiko Kunisato, and Masaya Ito. "Classifying patients with depressive and anxiety disorders according to symptom network structures: A Gaussian graphical mixture model-based clustering." PLOS ONE 16, no. 9 (2021): e0256902. http://dx.doi.org/10.1371/journal.pone.0256902.

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Patients with mental disorders often suffer from comorbidity. Transdiagnostic understandings of mental disorders are expected to provide more accurate and detailed descriptions of psychopathology and be helpful in developing efficient treatments. Although conventional clustering techniques, such as latent profile analysis, are useful for the taxonomy of psychopathology, they provide little implications for targeting specific symptoms in each cluster. To overcome these limitations, we introduced Gaussian graphical mixture model (GGMM)-based clustering, a method developed in mathematical statist

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Wu, Xianbo, and Xiaofeng Hui. "Risk Transmission of the Regions in the Yangtze River Economic Belt." Discrete Dynamics in Nature and Society 2020 (November 10, 2020): 1–10. http://dx.doi.org/10.1155/2020/8876883.

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This study mainly uses the method of effective transfer entropy (ETE) to study the risk transmission in each year among the 11 provinces and municipalities in the Yangtze River Economic Belt during the last five years. From the results of the risk transmission network, centralities of the regions, and maximum spanning trees, it can be seen that, in the years of 2015 and 2016, the risk transmission in the Yangtze River Economic Belt is relatively large, and in 2015, Shanghai is the main risk exporter. This may be mainly due to the violent turbulence in the Chinese stock market, and in 2016, alt

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Ruan, Ling, Xuan Kou, Junlian Ge, Yi Long, and Ling Zhang. "A Method of Directional Signs Location Selection and Content Generation in Scenic Areas." ISPRS International Journal of Geo-Information 9, no. 10 (2020): 574. http://dx.doi.org/10.3390/ijgi9100574.

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The Tourist Oriented Directional Signs (TODS) system is an essential and important project in constructing and planning scenic areas. At present, the placement of directional signs generally depends on the personal experience of the tour manager to identify important positions and display the name of critical scenic spots on a signboard. Few studies have focused on how to generate the location and display the content of directional signs automatically. This article proposes a method for directional sign location selection and automatic generation of content in a scenic area based on the touris

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Mateos-Hernández, Lourdes, Dasiel Obregón, Jennifer Maye, et al. "Anti-Tick Microbiota Vaccine Impacts Ixodes ricinus Performance during Feeding." Vaccines 8, no. 4 (2020): 702. http://dx.doi.org/10.3390/vaccines8040702.

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The tick microbiota is a highly complex ensemble of interacting microorganisms. Keystone taxa, with a central role in the microbial networks, support the stability and fitness of the microbial communities. The keystoneness of taxa in the tick microbiota can be inferred from microbial co-occurrence networks. Microbes with high centrality indexes are highly connected with other taxa of the microbiota and are expected to provide important resources to the microbial community and/or the tick. We reasoned that disturbance of vector microbiota by removal of ubiquitous and abundant keystone bacteria

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Balletto, Ginevra, Mara Ladu, Alessandra Milesi, and Giuseppe Borruso. "A Methodological Approach on Disused Public Properties in the 15-Minute City Perspective." Sustainability 13, no. 2 (2021): 593. http://dx.doi.org/10.3390/su13020593.

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Accessibility and Walkability represent, today, some of the most striking challenges contemporary cities are facing, particularly in light of the goals from UN Agenda 2030, aimed at a sustainable city, and particularly in terms of a livable, healthy and inclusive city. This can be also performed thanks to a set of high quality public services and a set of important and central services and infrastructures. These principles, however, are constrained by an overall, general fragmentation affecting many urban areas, particularly as an outcome of the vehicular accessibility needs. Scholars have deb

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Balletto, Ginevra, Mara Ladu, Alessandra Milesi, and Giuseppe Borruso. "A Methodological Approach on Disused Public Properties in the 15-Minute City Perspective." Sustainability 13, no. 2 (2021): 593. http://dx.doi.org/10.3390/su13020593.

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Abstract (sommario):

Accessibility and Walkability represent, today, some of the most striking challenges contemporary cities are facing, particularly in light of the goals from UN Agenda 2030, aimed at a sustainable city, and particularly in terms of a livable, healthy and inclusive city. This can be also performed thanks to a set of high quality public services and a set of important and central services and infrastructures. These principles, however, are constrained by an overall, general fragmentation affecting many urban areas, particularly as an outcome of the vehicular accessibility needs. Scholars have deb

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Prasad, Leela. "Text, Tradition, and Imagination: Evoking the Normative in Everyday Hindu Life." Numen 53, no. 1 (2006): 1–47. http://dx.doi.org/10.1163/156852706776942320.

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AbstractFor over two thousand years, the notion of śāstra has had an astonishing presence in Hindu normative thought and culture, and śāstra, as codifications of knowledge, have been composed in virtually every aspect of life from love and politics to thieving and horse rearing. The concept of śāstra yokes precept and practice in a way that perhaps no other concept in Hindu life does, and indexes a complexity that is understated by dictionary meanings of the term which include "to instruct," "order," "command," "precept," "rules," "scientific treatise," or "law-book." Drawing on my ethnographi

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Kan, Wei-Chih, Willy Chou, Tsair-Wei Chien, Yu-Tsen Yeh, and Po-Hsin Chou. "The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis." JMIR mHealth and uHealth 8, no. 5 (2020): e11567. http://dx.doi.org/10.2196/11567.

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Background Many previous papers have investigated most-cited articles or most productive authors in academics, but few have studied most-cited authors. Two challenges are faced in doing so, one of which is that some different authors will have the same name in the bibliometric data, and the second is that coauthors’ contributions are different in the article byline. No study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most popular degrees of density in social network analysis (SNA), few have applied the BC algorithm to i

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Zhu, Liyan, Chuqiao Xiao, and Xueqing Gong. "Keyword Search in Decentralized Storage Systems." Electronics 9, no. 12 (2020): 2041. http://dx.doi.org/10.3390/electronics9122041.

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The emerging decentralized storage systems (DSSs), such as InterPlanetary File System (IPFS), Storj, and Sia, provide people with a new storage model. Instead of being centrally managed, the data are sliced up and distributed across the nodes of the network. Furthermore, each data object is uniquely identified by a cryptographic hash (ObjectId) and can only be retrieved by ObjectId. Compared with the search functions provided by the existing centralized storage systems, the application scenarios of the DSSs are subject to certain restrictions. In this paper, we first apply decentralized B+Tree

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Mak, Matthew H. C., and Hope Twitchell. "Evidence for preferential attachment: Words that are more well connected in semantic networks are better at acquiring new links in paired-associate learning." Psychonomic Bulletin & Review 27, no. 5 (2020): 1059–69. http://dx.doi.org/10.3758/s13423-020-01773-0.

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Abstract Here, we view the mental lexicon as a semantic network where words are connected if they are semantically related. Steyvers and Tenenbaum (Cognitive Science, 29, 41–78, 2005) proposed that the growth of semantic networks follows preferential attachment, the observation that new nodes are more likely to connect to preexisting nodes that are more well connected (i.e., the rich get richer). If this is the case, well-connected known words should be better at acquiring new links than poorly connected words. We tested this prediction in three paired-associate learning (PAL) experiments in w

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Aleskerov, F. T., A. I. Kazachinskaya, D. S. Karabekyan, A. S. Semina, and V. I. Yakuba. "Economic journals of Russia, their characteristics and network analysis." Journal of the New Economic Association 50, no. 2 (2021): 170–82. http://dx.doi.org/10.31737/2221-2264-2021-50-2-9.

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We study economic journals published in Russia and indexed in the Russian Index of Science Citation (RISC). We analyze citations of 466 journals for 2016–2020 and compare these journals using several metrics: total citation count, Hirsch index, Impact factor RISC, and Science Index RISC. We also use network analysis for citation graphs and compare journals by centrality indices: Copeland index and two new indices: Bundle and Pivotal. We found that “Voprosy Ekonomiki” is the only journal that is among the top-5 journals for all metrics. Other top journals differ for different metrics. We notice

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Wang, Fen, Jierui Jing, Yanliang Zhao, et al. "Rhodium‐Catalyzed C−H Activation‐Based Construction of Axially and Centrally Chiral Indenes through Two Discrete Insertions." Angewandte Chemie International Edition 60, no. 30 (2021): 16628–33. http://dx.doi.org/10.1002/anie.202105093.

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Wang, Fen, Jierui Jing, Yanliang Zhao, et al. "Rhodium‐Catalyzed C−H Activation‐Based Construction of Axially and Centrally Chiral Indenes through Two Discrete Insertions." Angewandte Chemie 133, no. 30 (2021): 16764–69. http://dx.doi.org/10.1002/ange.202105093.

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Feeley, Thomas, Seyoung Lee, and Shin-Il Moon. "A Journal-Level Analysis of Progress in Transplantation." Progress in Transplantation 28, no. 1 (2017): 19–23. http://dx.doi.org/10.1177/1526924817746914.

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Abstract (sommario):

Context: Citations to articles published in academic journals represent a proxy for influence in bibliometrics. Objective: To measure the journal impact factor for Progress in Transplantation over time and to also identify related journals indexed in transplantation and surgery. Design: Data from Journal Citation Reports (ISI web of science) were used to rank Progress in Transplantation compared to peer journals using journal impact and journal relatedness measures. Social network analysis was used to measure relationships between pairs of journals in Progress in Transplantation’s relatedness

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Chang, W. C., C. S. M. Wong, P. C. F. Or, et al. "Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: a network analysis approach." Psychological Medicine 50, no. 12 (2019): 2019–27. http://dx.doi.org/10.1017/s0033291719002113.

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AbstractBackgroundBetter understanding of interplay among symptoms, cognition and functioning in first-episode psychosis (FEP) is crucial to promoting functional recovery. Network analysis is a promising data-driven approach to elucidating complex interactions among psychopathological variables in psychosis, but has not been applied in FEP.MethodThis study employed network analysis to examine inter-relationships among a wide array of variables encompassing psychopathology, premorbid and onset characteristics, cognition, subjective quality-of-life and psychosocial functioning in 323 adult FEP p

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Perryman, Carol. "Does a Social Network Based Model of Journal Metrics Improve Ranking?" Evidence Based Library and Information Practice 2, no. 2 (2007): 81. http://dx.doi.org/10.18438/b87592.

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Abstract (sommario):

A Review of:   Bollen, J., Van de Sompel, H., Smith, J.A., & Luce, R. (2005). Toward alternative metrics of journal impact: A comparison of download and citation data. Information Processing and Management, 41:1419-1440.  Abstract  Objective – To test a new model for measuring journal impact by using principles of social networking. Research questions are as follows: 1. Can valid networks of journal relationships be derived from reader article download patterns registered in a digital library’s server logs? 2. Can social network metrics of jo

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Trojanek, Radoslaw, Michal Gluszak, Michal Hebdzynski, and Justyna Tanas. "The COVID-19 Pandemic, Airbnb and Housing Market Dynamics in Warsaw." Critical Housing Analysis 8, no. 1 (2021): 72–84. http://dx.doi.org/10.13060/23362839.2021.8.1.524.

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In this study, we analyse the impact of COVID-19 on house rents and prices in Warsaw, the capital of Poland. Hedonic indexes indicate a slight increase in prices (ca. 1.2%) and a substantial drop in long-term rents (ca. -7.7%) between March 2020 and December 2020. The largest decline in rents occurred in centrally located neighbourhoods, which was largely due to the inflow of new housing supply from the short-term rental market (the Airbnb Warsaw market shrank by almost 30% in December 2020 y/y). Using hedonic methods, we show the effect of the shrinking Airbnb market on the drop in long-term

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Lercari, Diego. "Analysis of three decades of research in marine sciences in Uruguay through mapping of science and bibliometric indexes." Latin American Journal of Aquatic Research 49, no. 1 (2021): 1–17. http://dx.doi.org/10.3856/vol49-issue1-fulltext-2584.

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Abstract (sommario):

Uruguay has recently expanded its Exclusive Economic Zone (EEZ), having more aquatic sovereignty than terrestrial territories. In this country, various State institutions have carried out the study of marine science for several decades, but their academic development has not been analyzed. The formal evaluation of scientific research represents a crucial opportunity to define long-term policies requiring greater knowledge of the territory and its resources. In this context, this work carries out a systematic and quantitative review of Uruguay authors' international publications over three deca

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Garnham, Alan. "Opinion Piece: How People Structure Representations of Discourse." Dialogue & Discourse 12, no. 1 (2021): 1–20. http://dx.doi.org/10.5210/dad.2021.101.

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Abstract (sommario):

Mental models or situation models include representations of people, but much of the literature about such models focuses on the representation of eventualities (events, states, and processes) or (small-scale) situations. In the well-known event-indexing model of Zwaan, Langston, and Graesser (1995), for example, protagonists are just one of five dimensions on which situation models are indexed. They are not given any additional special status. Consideration of longer narratives, and the ways in which readers or listeners relate to them, suggest that people have a more central status in the wa

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