Abstract
In this contribution we introduce ``local attachment'' as a
network-joining protocol for peer-to-peer networks. Based on this protocol
nodes in a finite-size network dynamically create power-law connectivity
distributions and to maintain them in a self-organized statistical way by
incorporating local information only.
We investigate the structural and macroscopic properties of such local
attachment networks by extensive numerical simulations, including
correlation betwen exponents. The emergence of the power-law degree
distribution is further investigated empirically by considering
preferential attachment with a negative offset as an effective mechanism
for local attachment.
This study suggests the local attachment scheme as a procedure to be
included in future peer-to-peer protocols to enable the efficient
production of stable network topologies in a continuously changing
environment.
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