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- Massimiliano Caramia, Stefano Giordani, Antonio Iovanella
- Networks
- 2004

We study the offline and online versions of the well known problem of scheduling a set of n independent multiprocessor tasks with prespecified processor allocations on a set of identical processors in order to minimize the makespan. Recently, in [13], it has been proven that in the case when all tasks have unit processing time the problem cannot be… (More)

In this paper we introduce a new algorithm to study some NP-complete problems. This algorithm is a Markov Chain Monte Carlo (MCMC) inspired by the cavity method developed in the study of spin glass. We will focus on the maximum clique problem and we will compare this new algorithm with several standard algorithms on some DIMACS benchmark graphs and on… (More)

This paper describes the application of multiobjective heuristic search algorithms to the problem of hazardous material (hazmat) transportation. The selection of optimal routes inherently involves the consideration of multiple conflicting objectives. These include the minimization of risk (e.g. the exposure of the population to hazardous substances in case… (More)

- Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella
- ArXiv
- 2017

Rich-club ordering and the dyadic effect are two phenomena observed in complex networks that are based on the presence of certain substructures composed of specific nodes. Rich-club ordering represents the tendency of highly connected and important elements to form tight communities with other central elements. The dyadic effect denotes the tendency of… (More)

Innovation networks constitute a valid structure within which to foster members’ abilities to interact and cooperate, in order to reduce environmental uncertainty and face the challenges that derive from economic change. Network members take advantage of their participation in the system by creating and extracting value when performing certain deliberate… (More)

- Giovanna Ferraro, Antonio Iovanella
- ArXiv
- 2013

This paper introduces the concept of choreography with respect to interorganizational innovation networks, as they constitute an attractive environment to create innovation in different sectors. We argue that choreography governs behaviours by shaping the level of connectivity and cohesion among network members. It represents a valid organizational system… (More)

- Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella
- ArXiv
- 2016

In this paper we consider the dyadic effect introduced in complex networks when nodes are distinguished by a binary characteristic. Under these circumstances two independent parameters, namely dyadicity and heterophilicity, are able to measure how much the assigned characteristic affects the network topology. All possible configurations can be represented… (More)