We consider a new model for complex networks whose underlying mechanism is extending dense subgraphs. In the frustum model, we iteratively extend cliques over discrete-time steps. For many choices of the underlying parameters, graphs generated by the model densify over time. In the special case of the cone model, generated graphs provably satisfy properties observed in real-world complex networks such as the small world property and bad spectral expansion. We finish with a set of open problems and next steps for the frustum model
Abstract. We present a deterministic model for on-line social networks (OSNs) based on transitivity ...
International audience—Graph-based models form a fundamental aspect of data representation in Data S...
The parallel computational complexity or depth of growing network models is investigated. The networ...
This paper proposes a weighted clique evolution model based on clique (maximal complete subgraph) gr...
A basic premise behind the study of large networks is that interaction leads to complex collective b...
Complex networks describe a wide range of systems and structures in the world. Any real network can ...
How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and...
Accepted at MARAMI 2015We propose two models of growing network based on the formation of cliques. T...
We propose and analyse a class of evolving network models suitable for describing a dynamic topologi...
In this paper, we introduce a biologically inspired model to generate complex networks. In contrast ...
<div><p>We deal here with the issue of complex network evolution. The analysis of topological evolut...
We examine the global organization of growing networks in which a new vertex is attached to already ...
In this paper, we introduce a biologically inspired model to generate complex networks. In contrast ...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
Complex hypernetworks are ubiquitous in real-life systems. While a substantial body of previous rese...
Abstract. We present a deterministic model for on-line social networks (OSNs) based on transitivity ...
International audience—Graph-based models form a fundamental aspect of data representation in Data S...
The parallel computational complexity or depth of growing network models is investigated. The networ...
This paper proposes a weighted clique evolution model based on clique (maximal complete subgraph) gr...
A basic premise behind the study of large networks is that interaction leads to complex collective b...
Complex networks describe a wide range of systems and structures in the world. Any real network can ...
How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and...
Accepted at MARAMI 2015We propose two models of growing network based on the formation of cliques. T...
We propose and analyse a class of evolving network models suitable for describing a dynamic topologi...
In this paper, we introduce a biologically inspired model to generate complex networks. In contrast ...
<div><p>We deal here with the issue of complex network evolution. The analysis of topological evolut...
We examine the global organization of growing networks in which a new vertex is attached to already ...
In this paper, we introduce a biologically inspired model to generate complex networks. In contrast ...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
Complex hypernetworks are ubiquitous in real-life systems. While a substantial body of previous rese...
Abstract. We present a deterministic model for on-line social networks (OSNs) based on transitivity ...
International audience—Graph-based models form a fundamental aspect of data representation in Data S...
The parallel computational complexity or depth of growing network models is investigated. The networ...