ps_model: Generate a Popularity-Similarity network

In galanisl/NetHypGeom: Hyperbolic geometry of complex networks

Description

Generates an artificial network following the Popularity-Similarity model proposed in [Papadopoulos et al. 2012, Nature 489(7417):537-40]. This implementation only considers the hyperbolic space curvature K = -(1^2).

Usage

ps_model(N = 500, avg.k = 10, gma = 2, Temp = 0)

Arguments

N	integer; The number of desired nodes for the network (default = 500).
avg.k	numeric; The target average node degree (default = 10).
gma	numeric; The target scaling exponent of the network's node degree distribution (default = 2).
Temp	numeric; The network temperature, controlling the target clustering coefficient (default = 0).

Value

List with the two following elements:

network	igraph object representation of the input network.
polar	Data frame containing elements r and theta, the radial and angular coordinates of the network nodes in hyperbolic space.

Author(s)

Gregorio Alanis-Lobato [e-mail]

References

Papadopoulos, F. et al. (2012) Popularity versus similarity in growing networks. Nature 489(7417):537-40.

Examples

net.default <- ps_model()
net <- ps_model(100, 6, 2.5, 0.2)

galanisl/NetHypGeom documentation built on May 16, 2019, 5:36 p.m.