The problem of identifying sparse solutions for the link structure and dynamics of an
unknown linear, time-invariant network is posed as finding sparse solutions x to A x= b. If the …

In this article, we present a novel approach to reconstruct the topology of networked linear
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …

In this article, we address the problem of inferring direct influences in social networks from
partial samples of a class of opinion dynamics. The interest is motivated by the study of …

This paper focuses on the identification of multiple-input single-output output-error systems
with unknown time-delays. Since the time-delays are unknown, an identification model with …

This paper proposes an approach to identify the topological structure and unknown
parameters for one drive and multiple response complex delayed networks. We achieve …

It has been recently shown in Ren et al.(2010) that by collecting noise-contaminated time
series generated by a coupled-oscillator system at each node of a network, it is possible to …

The paper presents a methodology for identifying the topology of strictly causal dynamical
networks. Using a graph-theoretic representation of interconnected dynamical systems …

Will a new smartphone application diffuse deeply in the population or will it sink into oblivion
soon? To predict this, we argue that common models of spread of innovations based on …

In this paper, we address the problem of topology identification of causal dynamical
networks. Collecting the outputs of the nodes as time series, without any a priori knowledge …

We consider linear time-invariant networks with unknown topology where only a manifest
subset of the nodes can be directly actuated and measured while the state of the remaining …