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  1. 3 giorni fa · Buon lunedì, questa è la newsletter settimanale di EfficaceMente. Iniziamo. Ricordo ancora l’esame di Telecomunicazioni alla Facoltà di Ingegneria. Uno dei concetti che mi colpì maggiormente durante la preparazione fu il “Network Effect” (l’Effetto Rete): più utenti si aggiungono ad un dato prodotto o servizio, più quel prodotto o servizio acquisisce valore. I Social sono un ...

  2. 5 giorni fa · Our analysis mainly shows that (i) the network effects have negative influence on the result of price competition but have nothing to do with the result of product innovation competition under the premise of low market density; (ii) the marginal impact of network effects on the steady-state price is decreasing with the consumers’ learning speed; (iii) in the long-run, the product price ...

  3. 4 giorni fa · Properties of the connected components in projections of random bipartite networks: effects of clique size fluctuations. Projection is a helpful description for treating bipartite networks as (monopartite) networks with pairwise interactions.

  4. en.wikipedia.org › wiki › Chaos_theoryChaos theory - Wikipedia

    1 giorno fa · Chaos theory is an interdisciplinary area of scientific study and branch of mathematics. It focuses on underlying patterns and deterministic laws of dynamical systems that are highly sensitive to initial conditions. These were once thought to have completely random states of disorder and irregularities. [1]

  5. 4 giorni fa · We have analysed the interference effect in a VL-NOMA network that considers the signal power parameters performance for near and far users. We have checked the interference effect challenge, which is as a result of unaligned signal power parameters thereby producing noise or echo during the signal transmission.

  6. 2 giorni fa · A free and open source network mapping software provides tools for designing network maps to visualize network connectivity and to monitor connected devices.

  7. 4 giorni fa · Specifically, a random bipartite network characterized by two-degree distributions of two node sets was utilized as the null model of a network with a group structure. The generating function method analytically provides clustering and assortativity coefficients for projections, and conjectures high levels of clustering and assortative mixing in social networks (Newman et al 2001 , 2002 ...