Andere Kunden interessierten sich auch für
![Why Context Matters]( "Why Context Matters")
Why Context Matters53,49 €![The Role of Social Network in Marital Infidelity]( "The Role of Social Network in Marital Infidelity")
The Role of Social Network in Marital Infidelity36,99 €![Disconnecting with Social Networking Sites]( "Disconnecting with Social Networking Sites")
Disconnecting with Social Networking Sites37,99 €![Il ruolo dei social network nell'infedeltà coniugale]( "Il ruolo dei social network nell'infedeltà coniugale")
Il ruolo dei social network nell'infedeltà coniugale30,99 €![A Dynamic Cascade Model of the Development of Substance - Use Onset]( "A Dynamic Cascade Model of the Development of Substance - Use Onset")
A Dynamic Cascade Model of the Development of Substance - Use Onset56,99 €![Disconnecting with Social Networking Sites]( "Disconnecting with Social Networking Sites")
Disconnecting with Social Networking Sites37,99 €![Social- Circles Network Model]( "Social- Circles Network Model")
Social- Circles Network Model19,99 €
The aim of this work is to develop a dynamic model of stochastic network formation, where the nodes can connect both at random and through a preferential attachment of "friends of friends." In order to obtain mean field approximations we study the behaviour of the average degree and the clustering coefficient in a stationary state; we make use of the generating function method, among others. Through simulations, we demonstrate that depending on the calibration of parameters we obtain three different network structures: empty network, a giant component with few isolated nodes and a sparse network formed by different components. We mainly focus our analysis on the giant component which presents at least some of the key empirical regularities shared by socially generated networks. At the end of this work, we discuss the meaning of introduction of utility functions and their implications on stability and efficiency.