This review examines intermittent target search strategies, which combine phases of slow
motion, allowing the searcher to detect the target, and phases of fast motion during which …

Semantic memory is the subsystem of human memory that stores knowledge of concepts or
meanings, as opposed to life specific experiences. The organization of concepts within …

We analyze a one-dimensional intermittent random walk on an unbounded domain in the
presence of stochastic resetting. In this process, the walker alternates between local …

We investigate network exploration by random walks defined via stationary and adaptive
transition probabilities on large graphs. We derive an exact formula valid for arbitrary graphs …

In this paper we consider the problem of optimal search strategies on multi-linked networks,
ie graphs whose nodes are endowed with several independent sets of links. We focus …

We present two novel random walk strategies, choosing seed node (CSN) random walk and
no-retracing (NR) random walk. Different from the classical random walk sampling, the CSN …

This thesis deals with intermittent target search strategies, which combine slow phases,
allowing the searcher to detect the target, and fast phases without detection. Foraging …

Complex networks are ubiquitous in nature and play a role of paramount importance in
many contexts. Internet and the cyberworld, which permeate our everyday life, are self …

Semantic memory organization and retrieval is a cutting edge topic that is being studied from
different fields such as Linguistics, Psychology, Computer Science and Neuroscience. The …