(eng) In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in 2000 that a small-world can also be seen as a graph in which the routing task can be efficiently and easily done. More precisely, in a lattice network augmented by extra random edges (but not chosen uniformly), a short path of polylogarithmic expected length can be found using a greedy algorithm with a local knowledge of the nodes. We call such a graph a navigable small-world since short paths exist and can be followed with partial knowledge of the network. In this paper, we show that a wide class of graphs can be augmented into navigable small-worlds
We investigate the problem of efficiently preprocessing a large network, in afully distributed manner,...
small world (SW) is a (large) graph with both local clustering and, on average, short distances betw...
In small-world networks, each peer is connected to its closest neighbors in the network topology, as...
AbstractIn addition to statistical graph properties (diameter, degree, clustering, etc.), Kleinberg ...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
AbstractWe study Small-World graphs in the perspective of their use in the development of efficient ...
Westudy Small-World graphs in the perspective of their use in the development of efficient as well ...
Small-world graphs, exhibiting high clustering coefficients and small average path length, have been...
Small-World networks have been an active and common topic in many disciplines, including the social ...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomen...
We analyze the properties of Small-World networks, where links are much more likely to connect “neig...
Small world graphs are examples of random graphs which mimick empirically observed features of socia...
The algorithmic small-world phenomenon, empirically established by Milgram's letter forwarding exper...
AbstractWe use matrix analysis to study a cycle plus random, uniform shortcuts—the classic small wor...
We investigate the problem of efficiently preprocessing a large network, in afully distributed manner,...
small world (SW) is a (large) graph with both local clustering and, on average, short distances betw...
In small-world networks, each peer is connected to its closest neighbors in the network topology, as...
AbstractIn addition to statistical graph properties (diameter, degree, clustering, etc.), Kleinberg ...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
AbstractWe study Small-World graphs in the perspective of their use in the development of efficient ...
Westudy Small-World graphs in the perspective of their use in the development of efficient as well ...
Small-world graphs, exhibiting high clustering coefficients and small average path length, have been...
Small-World networks have been an active and common topic in many disciplines, including the social ...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomen...
We analyze the properties of Small-World networks, where links are much more likely to connect “neig...
Small world graphs are examples of random graphs which mimick empirically observed features of socia...
The algorithmic small-world phenomenon, empirically established by Milgram's letter forwarding exper...
AbstractWe use matrix analysis to study a cycle plus random, uniform shortcuts—the classic small wor...
We investigate the problem of efficiently preprocessing a large network, in afully distributed manner,...
small world (SW) is a (large) graph with both local clustering and, on average, short distances betw...
In small-world networks, each peer is connected to its closest neighbors in the network topology, as...