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- Guido Caldarelli, Andrea Capocci, Paolo De Los Rios, Miguel A. Muñoz
- Physical review letters
- 2002

A new mechanism leading to scale-free networks is proposed in this Letter. It is shown that, in many cases of interest, the connectivity power-law behavior is neither related to dynamical properties nor to preferential attachment. Assigning a quenched fitness value x(i) to every vertex, and drawing links among vertices with a probability depending on the… (More)

The objective of this paper is to analyse the network topology of the Italian segment of the European overnight money market through methods of statistical mechanics applied to complex networks. We investigate differences in the activities of banks of different sizes and the evolution of their connectivity structure over the maintenance period. The main… (More)

- Stefano Battiston, Michelangelo Puliga, Rahul Kaushik, Paolo Tasca, Guido Caldarelli
- Scientific reports
- 2012

Systemic risk, here meant as the risk of default of a large portion of the financial system, depends on the network of financial exposures among institutions. However, there is no widely accepted methodology to determine the systemically important nodes in a network. To fill this gap, we introduce, DebtRank, a novel measure of systemic impact inspired by… (More)

- Diego Garlaschelli, Guido Caldarelli, Luciano Pietronero
- Nature
- 2003

The structure of ecological communities is usually represented by food webs. In these webs, we describe species by means of vertices connected by links representing the predations. We can therefore study different webs by considering the shape (topology) of these networks. Comparing food webs by searching for regularities is of fundamental importance,… (More)

- Guido Caldarelli
- 2013

In what case do you like reading so much? What about the type of the scale free networks complex webs in nature and technology book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entertainment. Novels, story book, and… (More)

- Andrea Capocci, Vito Domenico Pietro Servedio, +4 authors Guido Caldarelli
- Physical review. E, Statistical, nonlinear, and…
- 2006

We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with those of the World Wide Web, despite the very different… (More)

- Giovanni Bonanno, Guido Caldarelli, Fabrizio Lillo, Rosario N. Mantegna
- Physical review. E, Statistical, nonlinear, and…
- 2003

We compare the topological properties of the minimal spanning tree obtained from a large group of stocks traded at the New York Stock Exchange during a 12-year trading period with the one obtained from surrogated data simulated by using simple market models. We find that the empirical tree has features of a complex network that cannot be reproduced, even as… (More)

- Gabriele Ranco, Darko Aleksovski, Guido Caldarelli, Miha Grcar, Igor Mozetic, Tobias Preis
- PloS one
- 2015

Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones… (More)

– In this paper we show that the Internet web, from a user’s perspective, manifests robust scaling properties of the type P (n) ∝ n−τ , where n is the size of the basin connected to a given point, P represents the density of probability of finding n points downhill and τ = 1.9 ± 0.1 s a characteristic universal exponent. This scale-free structure is a… (More)

We review the recent approach of correlation based networks of financial equities. We investigate portfolio of stocks at different time horizons, financial indices and volatility time series and we show that meaningful economic information can be extracted from noise dressed correlation matrices. We show that the method can be used to falsify widespread… (More)