  In this paper we present a network model to study the impact of spatial
distribution of constituents, coupling between them and diffusive processes in
the context of biological situations. The model is in terms of network of
mobile elements whose internal dynamics is given by differential equations
exhibiting switching and/or oscillatory behaviour. To make the model more
consistent with the underlying biological phenomena we incorporate properties
like growth and decay into the network.
  We characterise this network by calculating the usual network measures like
network efficiency, entropy growth, vertex degree distribution, geodesic
lengths, centrality as well as fractal dimensions and generalised entropy. It
is seen that the model can demonstrate the features of both scale free networks
as well as small worlds network in different parameter domains. The formation
of spatio-temporal patterns is another feature of such networks which makes
them appealing for understanding broad qualitative aspects of problems like
cell differentiation and synchronization. The response of the network to
various attack strategies(isolated and multiple) is also studied.
