#### Filter Results:

- Full text PDF available (9)

#### Publication Year

2002

2017

- This year (2)
- Last 5 years (5)
- Last 10 years (5)

#### Publication Type

#### Co-author

#### Publication Venue

#### Key Phrases

Learn More

- Stefano Mossa, Marc Barthélémy, H Eugene Stanley, Luís A Nunes Amaral
- Physical review letters
- 2002

We formulate a general model for the growth of scale-free networks under filtering information conditions-that is, when the nodes can process information about only a subset of the existing nodes in the network. We find that the distribution of the number of incoming links to a node follows a universal scaling form, i.e., that it decays as a power law with… (More)

- Giancarlo Franzese, Manuel I Marqués, H Eugene Stanley
- Physical review. E, Statistical, nonlinear, and…
- 2003

We study a model for water with a tunable intramolecular interaction J(sigma), using mean-field theory and off-lattice Monte Carlo simulations. For all J(sigma)> or =0, the model displays a temperature of maximum density. For a finite intramolecular interaction J(sigma)>0, our calculations support the presence of a liquid-liquid phase transition with a… (More)

- Kensuke Fukuda, H Eugene Stanley, Luís A Nunes Amaral
- Physical review. E, Statistical, nonlinear, and…
- 2004

Many phenomena, both natural and human influenced, give rise to signals whose statistical properties change under time translation, i.e., are nonstationary. For some practical purposes, a nonstationary time series can be seen as a concatenation of stationary segments. However, the exact segmentation of a nonstationary time series is a hard computational… (More)

- Adriano M Alencar, Sergey V Buldyrev, Arnab Majumdar, H Eugene Stanley, Béla Suki
- Physical review. E, Statistical, nonlinear, and…
- 2003

We study an invasion percolation process on Cayley trees and find that the dynamics of perimeter growth is strongly dependent on the nature of the invasion process, as well as on the underlying tree structure. We apply this process to model the inflation of the lung in the airway tree, where crackling sounds are generated when airways open. We define the… (More)

- Antonio Majdandzic, Lidia A. Braunstein, +4 authors Shlomo Havlin
- Nature communications
- 2016

Systems composed of many interacting dynamical networks-such as the human body with its biological networks or the global economic network consisting of regional clusters-often exhibit complicated collective dynamics. Three fundamental processes that are typically present are failure, damage spread and recovery. Here we develop a model for such systems and… (More)

- Boris Podobnik, Tomislav Lipic, Davor Horvatic, Antonio Majdandzic, Steven R. Bishop, H. Eugene Stanley
- Scientific reports
- 2015

Estimating the critical points at which complex systems abruptly flip from one state to another is one of the remaining challenges in network science. Due to lack of knowledge about the underlying stochastic processes controlling critical transitions, it is widely considered difficult to determine the location of critical points for real-world networks, and… (More)

- Zhiqiang Su, Sergey V Buldyrev, Pablo G Debenedetti, Peter J Rossky, H Eugene Stanley
- The Journal of chemical physics
- 2012

Methanol is an amphiphilic solute whose aqueous solutions exhibit distinctive physical properties. The volume change upon mixing, for example, is negative across the entire composition range, indicating strong association. We explore the corresponding behavior of a Jagla solvent, which has been previously shown to exhibit many of the anomalous properties of… (More)

- Wei Wang, Ming Tang, H Eugene Stanley, Lidia A Braunstein
- Reports on progress in physics. Physical Society
- 2017

Models of epidemic spreading on complex networks have attracted great attention among researchers in physics, mathematics, and epidemiology due to their success in predicting and controlling scenarios of epidemic spreading in real-world scenarios. To understand the interplay between epidemic spreading and the topology of a contact network, several… (More)

- Duan Wang, Xin Zhang, Davor Horvatic, Boris Podobnik, H Eugene Stanley
- Chaos
- 2017

To study the statistical structure of crosscorrelations in empirical data, we generalize random matrix theory and propose a new method of cross-correlation analysis, known as autoregressive random matrix theory (ARRMT). ARRMT takes into account the influence of auto-correlations in the study of cross-correlations in multiple time series. We first… (More)

- ‹
- 1
- ›