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When dynamics in a system proceeds under suppressive external bias, the system can undergo an abrupt phase transition, as it occurs for example in the epidemic spreading. Recently, an explosive percolation (EP) model was introduced in line…

Statistical Mechanics · Physics 2015-06-17 Y. S. Cho , S. Hwang , H. J. Herrmann , B. Kahng

In real networks, the dependency between nodes is ubiquitous; however, the dependency is not always complete and homogeneous. In this paper, we propose a percolation model with weak and heterogeneous dependency; i.e., dependency strengths…

Statistical Mechanics · Physics 2017-03-03 Ling-Wei Kong , Ming Li , Run-Ran Liu , Bing-Hong Wang

We investigate the heterogeneity of outcomes of repeated instances of percolation experiments in complex networks using a message passing approach to evaluate heterogeneous, node dependent probabilities of belonging to the giant or…

Statistical Mechanics · Physics 2020-09-15 Reimer Kuehn , Jort van Mourik

In this work, we propose an interdependent, multilayer network model and percolation process that matches infrastructures better than previous models by allowing some nodes to survive when their interdependent neighbors fail. We consider a…

Adaptation and Self-Organizing Systems · Physics 2017-10-04 Run-Ran Liu , Daniel A. Eisenberg , Thomas P. Seager , Ying-Cheng Lai

Let $(G_n) = \left((V_n,E_n)\right)$ be a sequence of finite connected vertex-transitive graphs with uniformly bounded vertex degrees such that $\lvert V_n \rvert \to \infty$ as $n \to \infty$. We say that percolation on $G_n$ has a sharp…

Probability · Mathematics 2024-08-23 Philip Easo

We introduce a model for dynamic networks, where the links or the strengths of the links change over time. We solve the model by mapping dynamic networks to the problem of directed percolation, where the direction corresponds to the…

Disordered Systems and Neural Networks · Physics 2015-05-13 Roni Parshani , Mark Dickison , Reuven Cohen , H. Eugene Stanley , Shlomo Havlin

Networks composed from both connectivity and dependency links were found to be more vulnerable compared to classical networks with only connectivity links. Their percolation transition is usually of a first order compared to the second…

Statistical Mechanics · Physics 2015-05-27 Amir Bashan , Roni Parshani , Shlomo Havlin

The question of how clustering (non-zero density of triangles) in networks affects their bond percolation threshold has important applications in a variety of disciplines. Recent advances in modelling highly-clustered networks are employed…

Statistical Mechanics · Physics 2013-06-06 James P. Gleeson , Sergey Melnik , Adam Hackett

This work extends the thermodynamic analysis of random bond percolation to explosive and hybrid percolation models. We show that this thermodynamic analysis is well applicable to both explosive and hybrid percolation models by using the…

Statistical Mechanics · Physics 2025-05-20 Seonghyeon Moon , Young Sul Cho

The suitable interpolation between classical percolation and a special variant of explosive percolation enables the explicit realization of a tricritical percolation point. With high-precision simulations of the order parameter and the…

Statistical Mechanics · Physics 2011-03-07 Nuno A. M. Araujo , Jose S. Andrade , Robert M. Ziff , Hans J. Herrmann

Bootstrap percolation is a well-known model to study the spreading of rumors, new products or innovations on social networks. The empirical studies show that community structure is ubiquitous among various social networks. Thus, studying…

Physics and Society · Physics 2015-06-18 Chong Wu , Shenggong Ji , Rui Zhang , Liujun Chen , Jiawei Chen , Xiaobin Li , Yanqing Hu

The Gaussian model of discontinuous percolation, recently introduced by Ara\'ujo and Herrmann [Phys. Rev. Lett., 105, 035701 (2010)], is numerically investigated in three dimensions, disclosing a discontinuous transition. For the…

Statistical Mechanics · Physics 2011-10-26 K. J. Schrenk , N. A. M. Araújo , H. J. Herrmann

We consider a one-dimensional network in which the nodes at Euclidean distance $l$ can have long range connections with a probabilty $P(l) \sim l^{-\delta}$ in addition to nearest neighbour connections. This system has been shown to exhibit…

Statistical Mechanics · Physics 2009-11-07 Parongama Sen , Kinjal Banerjee , Turbasu Biswas

Generally, the threshold of percolation in complex networks depends on the underlying structural characterization. However, what topological property plays a predominant role is still unknown, despite the speculation of some authors that…

Statistical Mechanics · Physics 2009-03-14 Zhongzhi Zhang , Shuigeng Zhou , Tao Zou , Lichao Chen , Jihong Guan

We study the percolation properties of force networks in an anisotropic model for granular packings, the so-called q-model. Following the original recipe of Ostojic et al. [Nature 439, 828 (2006)], we consider a percolation process in which…

Statistical Mechanics · Physics 2015-06-03 Romualdo Pastor-Satorras , M. -Carmen Miguel

Recently, we proposed polycontextural networks as a model of evolving systems of interacting beliefs. Here, we present an analysis of the phase transition as well as the scaling properties. The model contains interacting agents that strive…

Statistical Mechanics · Physics 2025-01-17 Johannes Falk , Edwin Eichler , Katja Windt , Marc-Thorsten Hütt

Percolation theory is extensively studied in statistical physics and mathematics with applications in diverse fields. However, the research is focused on systems with only one type of links, connectivity links. We review a recently…

Statistical Mechanics · Physics 2015-05-28 Amir Bashan , Shlomo Havlin

Correlations are known to play a crucial role in determining the structure of complex networks. Here we study how their presence affects the computation of the percolation threshold in random hypergraphs. In order to mimic the correlation…

Disordered Systems and Neural Networks · Physics 2009-07-20 Serena Bradde , Ginestra Bianconi

Explosive percolation in the Achlioptas process, which has attracted much research attention, is known to exhibit a rich variety of critical phenomena that are anomalous from the perspective of continuous phase transitions. Hereby, we show…

Statistical Mechanics · Physics 2023-04-06 Ming Li , Junfeng Wang , Youjin Deng

We investigate the growth of connectivity in a network. In our model, starting with a set of disjoint nodes, links are added sequentially. Each link connects two nodes, and the connection rate governing this random process is proportional…

Statistical Mechanics · Physics 2012-02-16 E. Ben-Naim , P. L. Krapivsky