activity
19942023
most citedTheory of Rumour Spreading in Complex Social Networks

796 citations · 5.3k across the 118 of their papers we have counts for

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Showing 2008Show all

7 papers · 1 filter

physics.soc-ph2008★ 222 cited

Assessing the relevance of node features for network structure

Ginestra Bianconi, Paolo Pin, Matteo Marsili

Networks describe a variety of interacting complex systems in social science, biology and information technology. Usually the nodes of real networks are identified not only by thei…

physics.soc-ph2008★ 160 cited

Congestion phenomena on complex networks

Daniele De Martino, Luca Dall'Asta, Ginestra Bianconi +1

We define a minimal model of traffic flows in complex networks containing the most relevant features of real routing schemes, i.e. a trade--off strategy between topological-based a…

physics.soc-ph2008★ 796 cited

Theory of Rumour Spreading in Complex Social Networks

Maziar Nekovee, Y. Moreno, G. Bianconi +1

We introduce a general stochastic model for the spread of rumours, and derive mean-field equations that describe the dynamics of the model on complex social networks (in particular…

physics.soc-ph2008

On the role of volatility in the evolution of social networks

Daniele De Martino, Matteo Marsili

We study how the volatility, node- or link-based, affects the evolution of social networks in simple models. The model describes the competition between order -- promoted by the ef…

physics.soc-ph2008★ 6 cited

Collaborate, compete and share

Emanuele Pugliese, Claudio Castellano, Matteo Marsili +1

We introduce and study a model of an interacting population of agents who collaborate in groups which compete for limited resources. Groups are formed by random matching agents and…

q-fin.GN2008★ 2 cited

A note on wealth in a volatile economy

M. Marsili

I show that if the capital accumulation dynamics is stochastic a new term, in addition to that given by accounting prices, has to be introduced in order to derive a correct estimat…

cond-mat.stat-mech2008★ 11 cited

Ising model with memory: coarsening and persistence properties

Fabio Caccioli, Silvio Franz, Matteo Marsili

We consider the coarsening properties of a kinetic Ising model with a memory field. The probability of a spin-flip depends on the persistence time of the spin in a state. The more…