Simplicial complexes represent useful and accurate models of complex networks and complex systems in general. We explore the properties of spectra of combinatorial Laplacian operator of simplicial complexes and show its relationship with connectivity properties of the Q-vector and with connectivities of cliques in the simplicial clique complex. We demonstrate the need for higher order analysis in complex networks and compare the results with ordinary graph spectra. Methods and results are obtained using social network of the Zachary karate club
32 pages, 10 figures32 pages, 10 figures32 pages, 10 figures32 pages, 10 figuresSimplicial synchroni...
A graph complex is a finite family of graphs closed under deletion of edges. Graph complexes show up...
Abstract—Currently, the de facto representational choice for networks is graphs. A graph captures pa...
Simplicial complexes represent useful and accurate models of complex networks and complex systems in...
Simplicial complexes represent powerful models of complex networks and complex systems in general. W...
The combinatorial Laplacian is an operator that has numerous applications in physics, finance, rando...
Complexity is highly susceptible to variations in the network dynamics, reflected on its underlying ...
Topological, algebraic and combinatorial properties of simplicial complexes which are constructed fr...
Simplicial complexes constitute the underlying topology of interacting complex systems including amo...
Complex networks display an organization of elements into nontrivial structures at versatile inheren...
Using graphs to model pairwise relationships between entities is a ubiquitous framework for studying...
In modern theoretical physics (quantum gravity, computational electromagnetism, gauge theories, elas...
Many dynamical effects in biology, social and technological complex systems have recently revealed t...
We propose an entropy function for simplicial complices. Its value gives the expected cost of the op...
This paper proposes convolutional filtering for data whose structure can be modeled by a simplicial ...
32 pages, 10 figures32 pages, 10 figures32 pages, 10 figures32 pages, 10 figuresSimplicial synchroni...
A graph complex is a finite family of graphs closed under deletion of edges. Graph complexes show up...
Abstract—Currently, the de facto representational choice for networks is graphs. A graph captures pa...
Simplicial complexes represent useful and accurate models of complex networks and complex systems in...
Simplicial complexes represent powerful models of complex networks and complex systems in general. W...
The combinatorial Laplacian is an operator that has numerous applications in physics, finance, rando...
Complexity is highly susceptible to variations in the network dynamics, reflected on its underlying ...
Topological, algebraic and combinatorial properties of simplicial complexes which are constructed fr...
Simplicial complexes constitute the underlying topology of interacting complex systems including amo...
Complex networks display an organization of elements into nontrivial structures at versatile inheren...
Using graphs to model pairwise relationships between entities is a ubiquitous framework for studying...
In modern theoretical physics (quantum gravity, computational electromagnetism, gauge theories, elas...
Many dynamical effects in biology, social and technological complex systems have recently revealed t...
We propose an entropy function for simplicial complices. Its value gives the expected cost of the op...
This paper proposes convolutional filtering for data whose structure can be modeled by a simplicial ...
32 pages, 10 figures32 pages, 10 figures32 pages, 10 figures32 pages, 10 figuresSimplicial synchroni...
A graph complex is a finite family of graphs closed under deletion of edges. Graph complexes show up...
Abstract—Currently, the de facto representational choice for networks is graphs. A graph captures pa...