TY - GEN
T1 - Ideal free distributions in growing networks
AU - Finke, Jorge
AU - Quijano, Nicanor
AU - Passino, Kevin M.
PY - 2008
Y1 - 2008
N2 - This paper presents a class of network optimization processes that account for the emergence of scale-free network structures. We introduce a mathematical framework that captures the connectivity and growth dynamics of a network with an arbitrary initial topology. We show how selection via differential node fitness affects the proportion of connections a node makes to other nodes, and how a heavy-tailed connectivity behavior manifests itself from consecutive achievements of ideal free distributions (IFDs). Finally, we present simulation results that show how this class of networks may emerge even when consecutive IFDs are not perfectly reached.
AB - This paper presents a class of network optimization processes that account for the emergence of scale-free network structures. We introduce a mathematical framework that captures the connectivity and growth dynamics of a network with an arbitrary initial topology. We show how selection via differential node fitness affects the proportion of connections a node makes to other nodes, and how a heavy-tailed connectivity behavior manifests itself from consecutive achievements of ideal free distributions (IFDs). Finally, we present simulation results that show how this class of networks may emerge even when consecutive IFDs are not perfectly reached.
UR - https://www.scopus.com/pages/publications/52449115606
U2 - 10.1109/ACC.2008.4586484
DO - 10.1109/ACC.2008.4586484
M3 - Conference contribution
AN - SCOPUS:52449115606
SN - 9781424420797
T3 - Proceedings of the American Control Conference
SP - 159
EP - 164
BT - 2008 American Control Conference, ACC
T2 - 2008 American Control Conference, ACC
Y2 - 11 June 2008 through 13 June 2008
ER -