Article
Multidisciplinary Sciences
Linqing Liu, Mengyun Shen, Chang Tan
Summary: The study found that approximately 38% to 69% of product networks in capacity-weighted networks exhibit scale-free characteristics, with differences in scale-free characteristics depending on the technology. Contrary to expectations, exports of high-technology products are not concentrated in a few developed countries.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Kiriil Kovalenko, Irene Sendina-Nadal, Nagi Khalil, Alex Dainiak, Daniil Musatov, Andrei M. Raigorodskii, Karin Alfaro-Bittner, Baruch Barzel, Stefano Boccaletti
Summary: The paper introduces a mechanism for generating synthetic simplicial complexes that display desired statistical properties observed in the real world, and can be straightforwardly extended to higher-order structures. The model constructs networks with scale-free degree distribution and bounded or scale-free generalized degree distribution through preferential and/or nonpreferential attachment mechanisms, providing analytical control of scaling exponents to construct synthetic complexes with desired statistical properties.
COMMUNICATIONS PHYSICS
(2021)
Article
Physics, Fluids & Plasmas
Nikita Frolov, Alexander Hramov
Summary: This paper explores the extension of self-organized bistability (SOB) on scale-free networks under coupling constraints. The study finds that SOB on scale-free networks originates from facilitated criticality and replicates extreme properties of epileptic seizure recurrences.
Article
Physics, Multidisciplinary
Marcus V. Alves Ribeiro, Aurel Jurjiu, Mircea Galiceanu
Summary: The relaxation dynamics of a new type of hyperbranched polymer networks constructed using a degree distribution specific to scale-free networks are studied. The topology of the networks is controlled by three parameters: gamma, K-min, and K-max. The influence of these parameters and the stiffness parameter q on the relaxation quantities is investigated. Various scaling behaviors are observed in the dynamical quantities for different combinations of the parameters.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Jinlong Ma, Junfeng Zhang, Yongqiang Zhang
Summary: A new gravitation path routing strategy is proposed in this paper, which aims to improve network traffic capacity by selecting optimal paths based on the gravitational centrality of nodes. Simulation results show that this strategy is more effective than a previous efficient routing strategy proposed by Yan et al.
Article
Computer Science, Artificial Intelligence
Michaela Urbanovska, Antonin Komenda
Summary: Automated planning for problems without explicit models is a challenging research area. The combination of deep learning and classical planning can provide a solution for variably scaled problems without the need for a human-encoded model. Experimental evaluation is provided to compare the implemented techniques with classical model-based methods.
KNOWLEDGE AND INFORMATION SYSTEMS
(2021)
Article
Ecology
Xinqiang Xi, Wenlong Zhou, Zhao Li, Lei Hu, Yuran Dong, Karl J. Niklas, Shucun Sun
Summary: Research indicates that there is a positive density-dependent effect on pollination success across plant species, with common plants tending to have higher seed output rates compared to rare species due to a pollination limitation. Therefore, both mutualistic and antagonistic interactions should be examined simultaneously to fully understand plant species coexistence in local communities.
JOURNAL OF ANIMAL ECOLOGY
(2021)
Article
Mathematics, Interdisciplinary Applications
Orestis Stylianou, Zalan Kaposzta, Akos Czoch, Leon Stefanovski, Andriy Yabluchanskiy, Frigyes Samuel Racz, Petra Ritter, Andras Eke, Peter Mukli
Summary: This study explores the scale-free functional connectivity in Parkinson's disease patients and how it is affected by dopaminergic treatment. The results demonstrate that dopaminergic treatment alters the multifractal coupled dynamics in the brain, warranting further investigation in clinical and pharmacological studies.
FRACTAL AND FRACTIONAL
(2022)
Article
Multidisciplinary Sciences
Harrison B. Smith, Hyunju Kim, Sara I. Walker
Summary: Biochemical reactions are essential for all life functions and involve complex molecular interactions in cells and ecosystems. While true scale-free networks are rare, most biochemical networks are not scale-free. However, biochemical networks across different levels of organization exhibit a common structure, suggesting shared organizing principles.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Marco Tomassini
Summary: We study the effects of deliberate attacks on important links in scale-free networks and propose simple strategies to mitigate the damage. Our approach, which utilizes local information and is computationally less intensive, enhances network robustness and integrity of the largest connected component. This approach is also applicable to real-world networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Tushar Mitra, Md. Kamrul Hassan
Summary: This study investigates a weighted planar stochastic lattice and discovers that its dynamics are governed by infinitely many conservation laws. The lattice's dual network is found to be a scale-free network and a small-world network, exhibiting specific degree distribution and clustering properties.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Interdisciplinary Applications
Xiangyi Meng, Bin Zhou
Summary: Complex networks are often considered to be scale-free, characterized by a power-law distribution of the nodes' degree. However, in real-world networks, the distribution of the degree-degree distance, a metric similar to degree, shows a stronger power-law distribution. We investigate the relationship between the two distributions and introduce network models that have a power-law distribution of degree-degree distance but not degree. Our findings suggest that degree-degree distance is a more suitable indicator of scale-freeness.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Eduardo Jacobo-Villegas, Bibiana Obregon-Quintana, Lev Guzman-Vargas, Larry S. Liebovitch
Summary: This study investigates the dynamic interactions between actors on complex networks with scale-free and hierarchical scale-free topologies, taking into account assortative mixing. The results show that the evolution of the system depends on the percentage of cooperative or competitive interactions, and the topology of the network also plays a crucial role in the system's behavior.
Article
Physics, Applied
Akitada Sakurai, Marta P. Estarellas, William J. Munro, Kae Nemoto
Summary: This study introduces a resource-efficient quantum neural network model that focuses on the role of the feature space provided by quantum processors. By applying it to classification tasks, it demonstrates the quantum advantage in terms of the physical resources needed for implementing the neural network. The model is both theoretically simple and practically applicable.
PHYSICAL REVIEW APPLIED
(2022)
Article
Computer Science, Information Systems
Muhammad Awais Khan, Nadeem Javaid
Summary: This paper focuses on malicious attacks in scale-free Internet of Things (IoT) networks and aims to construct a robust network topology to support node functionality while reducing computational cost. Four solutions are presented, including a Smart Edge Swap Mechanism (SESM) to overcome excessive randomness, a threshold-based node removal method to reduce edge swap operation, correlation analysis of network measures, and the utilization of Heat Map Centrality (HMC) to find important nodes. Simulation results show the effectiveness of the proposed SESM mechanism, with better network robustness and reduced computational cost.
COMPUTER COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Aaron Clauset
Article
Multidisciplinary Sciences
Allison C. Morgan, Samuel F. Way, Aaron Clauset
Article
Multidisciplinary Sciences
Samuel F. Way, Allison C. Morgan, Daniel B. Larremore, Aaron Clauset
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2019)
Article
Oncology
Kimberly R. Jordan, Matthew J. Sikora, Jill E. Slansky, Angela Minic, Jennifer K. Richer, Marisa R. Moroney, Junxiao Hu, Rebecca J. Wolsky, Zachary L. Watson, Tomomi M. Yamamoto, James C. Costello, Aaron Clauset, Kian Behbakht, T. Rajendra Kumar, Benjamin G. Bitler
CLINICAL CANCER RESEARCH
(2020)
Article
Multidisciplinary Sciences
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Multidisciplinary Sciences
Allison C. Morgan, Samuel F. Way, Michael J. D. Hoefer, Daniel B. Larremore, Mirta Galesic, Aaron Clauset
Summary: Parenthood has a significant impact on scholarly productivity, especially with mothers experiencing lower short-term productivity on average, even though parents are generally more productive than non-parents. The productivity penalty for mothers has been decreasing over time. Women emphasize the importance of paid parental leave and adequate childcare for recruitment and retention purposes.
Article
Biochemical Research Methods
Andrew J. Kavran, Aaron Clauset
Summary: The study introduces a method for reducing noise in large-scale biological data sets by using an interaction network to identify related measurements that can be combined or filtered. Applying network filters before machine learning tasks improves accuracy in predicting changes in protein expression.
BMC BIOINFORMATICS
(2021)
Article
Multidisciplinary Sciences
Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, Markus Mobius, David M. Rothschild, Duncan J. Watts
Summary: This study found that news consumption on YouTube is mainly dominated by mainstream and centrist sources, with far-right content consumers representing a small proportion. Consumption of anti-woke content has been steadily growing in popularity and is correlated with far-right content consumption off-platform.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Editorial Material
Multidisciplinary Sciences
Aaron Clauset, Kian Behbakht, Benjamin G. Bitler
Article
Multidisciplinary Sciences
K. Hunter Wapman, Sam Zhang, Aaron Clauset, Daniel B. Larremore
Summary: Faculty hiring and retention have significant implications for the composition and outcomes of the US academic workforce. This study highlights the pervasive inequalities and gender disparities in faculty production and retention, providing important insights for improving academic workforce diversity and equity.
Article
Multidisciplinary Sciences
Weihua Li, Sam Zhang, Zhiming Zheng, Skyler J. Cranmer, Aaron Clauset
Summary: This study untangles the relationship between scientists' collaboration networks and their productivity and prominence, finding that collaboration networks play a substantial role in driving inequalities in science.
NATURE COMMUNICATIONS
(2022)
Article
Psychology, Biological
Allison C. Morgan, Nicholas LaBerge, Daniel B. Larremore, Mirta Galesic, Jennie E. Brand, Aaron Clauset
Summary: This study finds that faculty members in the US academia are much more likely to have parents with Ph.D. degrees compared to the general population, indicating a higher representation of socioeconomically privileged individuals in the professoriate. This disparity is likely to shape their scholarship and reproduction, limiting efforts to diversify the professoriate.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Multidisciplinary Sciences
Sam Zhang, K. Hunter Wapman, Daniel B. Larremore, Aaron Clauset
Summary: Faculty at prestigious institutions produce more research publications, and this can be explained by the greater availability of funded graduate and post-doctoral labor. Greater environmental prestige leads to larger research groups, driving higher faculty productivity, especially in disciplines with group collaboration norms.
Letter
Multidisciplinary Sciences
Fariba Karimi, Aaron Clauset