AbstractAlthough the scale invariance is a main feature of growing networks, evidence from a few modelled networks show that the finite-size effect of network at a fixed time t cannot be ignored. We propose a concept of time-dependent scale-free networks, and prove the criteria for the stability and scale-free of growing networks by the degree-growing Markov chain. Our results show the importance of rigorous theoretical analysis for the network science
Many social, biological, and technological networks display substantial non-trivial topological feat...
2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We show that there are two classes of finite size effects for dynamic models taking place on a scale...
AbstractAlthough the scale invariance is a main feature of growing networks, evidence from a few mod...
We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...
As for many complex systems, network structures are important as their backbone. From research on dy...
Abstract. The combination of growth and preferential attachment is responsible for the power-law dis...
We introduce a fully nonhierarchical network growing mechanism, that furthermore does not impose exp...
Many complex systems--from social and communication networks to biological networks and the Internet...
Real growing networks such as the World Wide Web or personal connection based networks are character...
Barabasi-Albert networks are constructed by adding nodes via preferential attachment to an initial c...
Synchronization problems in complex networks are very often studied by researchers due to their many...
A growing family of random graphs is called robust if it retains a giant component after percolation...
In this paper, we present a simple model of scale-free networks that incorporates both preferential ...
We study a novel model for evolution of complex networks. We introduce information filtering for red...
Many social, biological, and technological networks display substantial non-trivial topological feat...
2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We show that there are two classes of finite size effects for dynamic models taking place on a scale...
AbstractAlthough the scale invariance is a main feature of growing networks, evidence from a few mod...
We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...
As for many complex systems, network structures are important as their backbone. From research on dy...
Abstract. The combination of growth and preferential attachment is responsible for the power-law dis...
We introduce a fully nonhierarchical network growing mechanism, that furthermore does not impose exp...
Many complex systems--from social and communication networks to biological networks and the Internet...
Real growing networks such as the World Wide Web or personal connection based networks are character...
Barabasi-Albert networks are constructed by adding nodes via preferential attachment to an initial c...
Synchronization problems in complex networks are very often studied by researchers due to their many...
A growing family of random graphs is called robust if it retains a giant component after percolation...
In this paper, we present a simple model of scale-free networks that incorporates both preferential ...
We study a novel model for evolution of complex networks. We introduce information filtering for red...
Many social, biological, and technological networks display substantial non-trivial topological feat...
2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We show that there are two classes of finite size effects for dynamic models taking place on a scale...