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The economic success of individuals is often determined by a combination of talent, luck, and assistance from others. We introduce an agent-based model that simultaneously considers talent, luck, and social interaction. This model allows us to explore how network structure (how agents interact) and talent distribution among agents affect the dynamics of capital accumulation through analytical and numerical methods. We identify a phenomenon that we call the "talent configuration effect," which refers to the influence of how talent is allocated to individuals (nodes) in the network. We analyze this effect through two key properties: talent assortativity (TA) and talent-degree correlation (TD). In particular, we focus ons three economic indicators: growth rate (n_{rate}), Gini coefficient (inequality: n_{Gini}), and meritocratic fairness (n_{LT}). This investigation helps us understand the interplay between talent configuration and network structure on capital dynamics. We find that, in the short term, positive correlations exist between TA and TD for all three economic indicators. Furthermore, the dominant factor influencing capital dynamics depends on the network topology. In scale-free networks, TD has a stronger influence on the economic indices than TA. Conversely, in lattice-like networks, TA plays a more significant role. Our findings address that high socioeconomic homophily can create a dilemma between growth and equality and that hub monopolization by a few highly talented agents makes economic growth strongly dependent on their performances.
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http://dx.doi.org/10.1103/PhysRevE.110.024312 | DOI Listing |
Adv Mater
December 2024
Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea.
Graph theory has been widely used to quantitatively analyze complex networks of molecules, materials, and cells. Analyzing the dynamic complex structure of extracellular matrix can predict cell-material interactions but has not yet been demonstrated. In this study, graph theory-based mathematical modeling of RGD ligand graph inter-relation is demonstrated by differentially cutting off RGD-to-RGD interlinkages with flexibly conjugated magnetic nanobars (MNBs) with tunable aspect ratio.
View Article and Find Full Text PDFBMC Psychol
December 2024
Institute of Business Sciences, University of Tsukuba, Tokyo, 112-0012, Japan.
Background: This study examined how university students' social media use is related to their mental health (subjective well-being [SWB] and loneliness) and perceived physical health. A cognitive bias model and a social network mediation model were used to compare social capital formed via face-to-face and online communication, considering the effects of personality traits (i.e.
View Article and Find Full Text PDFBMC Public Health
December 2024
Institute of Primary Care, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
Background: Recently, the importance of social networks and other contextual factors in shaping health literacy of adolescents has gained recognition. However, research often simply refers to context without explicitly describing it. In this qualitative study, we aimed to explore how adolescents activate their (social) resources to develop and practice health literacy within a Swiss cantonal school health service program and in their everyday lives.
View Article and Find Full Text PDFCommun Biol
December 2024
School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
A complex interplay of genetic and environmental factors influences bacterial growth. Understanding these interactions is crucial for insights into complex living systems. This study employs a data-driven approach to uncover the principles governing bacterial growth changes due to genetic and environmental variation.
View Article and Find Full Text PDFInt J Pharm
December 2024
Université de Lorraine, CITHEFOR, F-54000 Nancy, France. Electronic address:
As the main protein forming the vascular extracellular matrix, collagen has a weak antigenicity, making it an attractive candidate for coatings of vascular grafts. In order to bring antithrombotic properties to collagen for obtaining suitable blood compatibility of surfaces and further bioactive molecule carrying capacity, heparinization appears as a method of choice. Thus, in this article, pH-driven self-assembly was used to form collagen-based hydrogels with physical incorporation of heparins, especially low molecular weight heparin or unfractionated heparin at 1 IU/mL and 6 IU/mL.
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