Networking Effects on Cooperation in Evolutionary Snowdrift Game
arXiv:physics/0602039 · doi:10.1209/epl/i2006-10323-2
Abstract
The effects of networking on the extent of cooperation emerging in a competitive setting are studied. The evolutionary snowdrift game, which represents a realistic alternative to the well-known Prisoner's Dilemma, is studied in the Watts-Strogatz network that spans the regular, small-world, and random networks through random re-wiring. Over a wide range of payoffs, a re-wired network is found to suppress cooperation when compared with a well-mixed or fully connected system. Two extinction payoffs, that characterize the emergence of a homogeneous steady state, are identified. It is found that, unlike in the Prisoner's Dilemma, the standard deviation of the degree distribution is the dominant network property that governs the extinction payoffs.
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- Time scales of epidemic spread and risk perception on adaptive networks
- Multiple learning mechanisms promote cooperation in public goods games with project selection
- Limitation of network inhomogeneity in improving cooperation in coevolutionary dynamics
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- Prisoner's Dilemma on Real Social Networks: Revisited