Zobrazeno 1 - 10
of 2 255
pro vyhledávání: '"STANLEY, H. EUGENE"'
Autor:
Zubillaga, Bernardo J., Granha, Mateus F. B., Vilela, André L. M., Wang, Chao, Nelson, Kenric P., Stanley, H. Eugene
This work investigates the effects of complex networks on the collective behavior of a three-state opinion formation model in economic systems. Our model considers two distinct types of investors in financial markets: noise traders and fundamentalist
Externí odkaz:
http://arxiv.org/abs/2404.18709
Publikováno v:
Diffusion fundamentals. 2(4):1-11
We study transport properties such as conductance and diffusion of complex networks such as scale-free and Erdős-Rényi networks. We consider the equivalent conductance G between two arbitrarily chosen nodes of random scale-free networks with degree
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A14337
https://ul.qucosa.de/api/qucosa%3A14337/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A14337/attachment/ATT-0/
Autor:
Oliveira, Igor V. G., Wang, Chao, Dong, Gaogao, Du, Ruijin, Fiore, Carlos E., Stanley, H. Eugene, Vilela, André L. M.
As one of the most widespread social dynamics, cooperative behavior is among the most fascinating collective phenomena. Several animal species, from social insects to human beings, feature social groups altruistically working for a common benefit. Th
Externí odkaz:
http://arxiv.org/abs/2311.05803
Autor:
Li, Ruiqi, Liang, Jing, Cheng, Cheng, Zhang, Xiaoyan, Zhao, Longfeng, Zhao, Chen, Stanley, H. Eugene
Publikováno v:
Social Networks, 2024, 76, 191-202
Venture capital (VC) is a relatively newly emergent industry that is still subject to large uncertainties in China. Therefore, building a robust social network with other VC institutions is a good way to share information, various resources, and bene
Externí odkaz:
http://arxiv.org/abs/2305.10762
Autor:
Shi, Dingyi, Shang, Fan, Chen, Bingsheng, Expert, Paul, Lü, Linyuan, Stanley, H. Eugene, Lambiotte, Renaud, Evans, Tim S., Li, Ruiqi
Publikováno v:
Communications Physics, 2024, 7: 170
Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection methods often define communities as dense subgraphs, or subgraphs with fe
Externí odkaz:
http://arxiv.org/abs/2209.15497
Autor:
Li, Ruiqi, Luo, Ankang, Shang, Fan, Lv, Linyuan, Fan, Jingfang, Lu, Gang, Pan, Liming, Tian, Lixin, Stanley, H. Eugene
Fundamental laws of human mobility have been extensively studied, yet we are still lacking a comprehensive understanding of the mobility patterns of sharing conveyances. Since travellers would highly probably no longer possess their own conveyances i
Externí odkaz:
http://arxiv.org/abs/2202.06352
We investigate the financial market dynamics by introducing a heterogeneous agent-based opinion formation model. In this work, we organize the individuals in a financial market by their trading strategy, namely noise traders and fundamentalists. The
Externí odkaz:
http://arxiv.org/abs/2201.07214
Community detection methods can be used to explore the structure of complex systems. The well-known modular configurations in complex financial systems indicate the existence of community structures. Here we analyze the community properties of correl
Externí odkaz:
http://arxiv.org/abs/2112.13383
Stock markets can become inefficient due to calendar anomalies known as day-of-the-week effect. Calendar anomalies are well-known in financial literature, but the phenomena remain to be explored in econophysics. In this paper we use multifractal anal
Externí odkaz:
http://arxiv.org/abs/2106.06164
Autor:
Oliveira, Igor V.G., Wang, Chao, Dong, Gaogao, Du, Ruijin, Fiore, Carlos E., Vilela, André L.M., Stanley, H. Eugene
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena April 2024 181