Antonio IovanellaUniversità degli Studi Internazionali di Roma
Antonio Iovanella
Ph.D. in Operations Research, Sapienza University of Rome, Italy
About
57
Publications
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464
Citations
Citations since 2017
Introduction
Additional affiliations
April 2021 - April 2021
University of International Studies of Rome
Position
- Research Assistant
November 2010 - March 2021
November 1999 - October 2010
Education
November 1999 - October 2002
Publications
Publications (57)
Networks are real systems modelled through mathematical objects made up of nodes and links arranged into peculiar and deliberate (or partially deliberate) topologies. Studying these real-world topologies allows for several properties of interest to be revealed. In real networks, nodes are also identified by a certain number of non-structural featur...
We consider the network constraints on the bounds of the assortativity coefficient, which measures the tendency of nodes with the same attribute values to be interconnected. The assortativity coefficient is the Pearson's correlation coefficient of node attribute values across network edges and ranges between -1 and 1. We focus here on the assortati...
The concept of resilience -- i.e., the ability of a unified structure to absorb shocks -- is of high relevance in the context of network modelling and analysis, mainly when referred to finance. This paper starts from this premise, and deals with the resilience of a financial interbanking system. At this aim, we firstly introduce a new measure of th...
Although the topic of networks has received significant attention from the scientific literature, it remains to be seen whether it is possible to quantify the degree to which an organisation benefits from being part of a network. Starting from the concept of network value and that of Metcalfe’s Law, this paper introduces and defines the collective...
Entrepreneurial ecosystems are wealthy environments in which entrepreneurs, firms, and governments can operate frictionless, contributing to innovation and economic growth. The investigation of the structure of such systems is an open issue. We provide insights on this aspect through the formulation of seven network-based principles associating spe...
Healthcare teams act in a very complex environment and present extremely peculiar features since they are multidisciplinary, work under quickly changing conditions, and often stay together for a short period with a dynamically fluctuating team membership. Thus, in the broad discussions about the future of healthcare, the strategy for improving prov...
This paper explores the issue of robustness against failure cascades for the network of interbank exposures.
The available data were retrieved through the Bank for International Settlements database and report only incomplete information from which networks displaying a core-periphery structure were produced. A model of financial contagion was set...
![An example of a basic graph with nodes n=6\documentclass[12pt]{minimal}...](publication/337440760/figure/fig1/AS:961440131330048@1606236598119/An-example-of-a-basic-graph-with-nodes-n6documentclass12ptminimal_Q320.jpg)
Increased data gathering capacity, together with the spread of data analytics techniques, has prompted an unprecedented concentration of information related to the individuals' preferences in the hands of a few gatekeepers. In the present paper, we show how platforms' performances still appear astonishing in relation to some unexplored data and net...
A Bill of Materials, or Product Structure, is a diagram that lists all the components, intermediate assemblies, sub-components and parts necessary to produce one unit of a finished product, or end part. It is represented as a tree structure with hierarchical relationships among diverse components and materials. The aim of this paper is to propose t...
Increased data gathering capacity, together with the spreading of data analytics techniques, has allowed an unprecedented concentration of information related to the individuals' preferences in the hands of a few gatekeepers. In such context, the traditional economic literature has been attempting to frame all the data-driven economy features. Such...
Networks are at the core of modeling many engineering contexts, mainly in the case of infrastructures and communication systems. The resilience of a network, which is the property of the system capable of absorbing external shocks, is then of paramount relevance in the applications. This paper deals with this topic by advancing a theoretical propos...
Collaborative innovation networks represent adequate structures within which to foster members abilities to interact and cooperate in order to increase the level of knowledge and facilitate access to innovation. These systems show a high potential as the best engines to drive innovation. It is supposed that members take advantage of their participa...
Collaborative innovation networks represent adequate structures
within which to foster members’ abilities to interact and cooperate in order to increase the level of knowledge and facilitate access to innovation. These systems show a high potential as the best engines to drive innovation. It is supposed that members take advantage of their particip...
Based on an expert systems approach, the issue of community detection can be conceptualized as a clustering model for networks. Building upon this further, community structure can be measured through a clustering coefficient, which is generated from the number of existing triangles around the nodes over the number of triangles that can be hypotheti...
The paper faces the problem of the robustness of the network of in-terbank exposures against the propagation of failure cascades. The available data are retrieved through the Banks for International Settlements database (BIS) and report only incomplete information which result into a network displaying a core-periphery structure. A model of financi...
Complex networks' resilience against attacks represents a crucial issue in terms of network structure integrity. We investigate the effect of removing nodes on the network diameter in the case of a simultaneous targeted attack and sequential targeted attack. The analysis has been implemented on several network instances, taking into account differe...
Complex networks' resilience against attacks represents a crucial issue in terms of network structure integrity. We investigate the effect of removing nodes on the network diameter in the case of a simultaneous targeted attack and sequential targeted attack. The analysis has been implemented on several network instances, taking into account differe...
Core-periphery networks are structures that present a set of central and densely connected nodes, namely the core, and a set of non-central and sparsely connected nodes, namely the periphery. The rich-club refers to a set in which the highest degree nodes show a high density of connections. Thus, a network that displays a rich-club can be interpret...
This paper offers a network perspective on the collaborative effects of technology transfer, providing a research methodology based on the network science paradigm. We argue that such an approach is able to map and describe the set of entities acting in the technology transfer environment and their mutual relationships. We outline how the connectio...
The dyadic effect is a phenomenon that occurs when the number of links between nodes sharing a common feature is larger than expected if the features are distributed randomly on the network. In this paper we consider the case when nodes are distinguished by a binary characteristic. Under these circumstances two independent parameters, namely dyadic...
Also available (wuth other code) at:
https://github.com/cinHELLi
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 tendenc...
A Bill of Materials, or Product Structure, is a diagrams that lists all the components and parts required to produce one unit of a finished product, or end part. It is often represented as a tree structure with hierarchical relationships among different components and materials. In this paper, we introduce two procedures to convert single and multi...
Abstract: When nodes are distinguished by a binary characteristic two independent parameters, namely dyadicity D and heterophilicity H, are able to detect the presence of the dyadic effect and to measure how much the considered characteristic affects the network topology. Currently dyadicity and heterophilicity are bounded by two upper bounds. Usin...
Poster presented at the 5th InternationalWorkshop on Complex Networks & Their Applications
Network structures describe a variety of systems and it is crucial to recognise essential functionalities that affect the dynamic of interactions. Nodes are often identified by certain characteristics, such as age or gender, and the tendency to link nodes with similar features is referred to as homophily. To verify which characteristic is able to a...
Innovation networks constitute a valid structure in which to foster members’ abilities to interact and cooperate, reducing environmental uncertainty and enhancing ways to deal with the challenges that derive from economic change. This paper analyses the correlation between the structure of inter-organizational innovation networks and innovation per...
This paper studies inter-organizational innovation networks, investigating the relations between the structure of the connections among members and a given node’s characteristic. Such relations are used to provide some insights into the attitude of network innovation.
We propose an original methodology that considers nodes belonging to two differen...
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 deli...
This paper introduces the concept of choreography with respect to inter-organizational innovation networks, as they constitute an attractive environment to create innovation in different sectors. We argue that choreography governs be-haviours by shaping the level of connectivity and cohesion among network members. It represents a valid organization...
Network Science allows understanding networks emerging in nature, technology and society by means of a set of tools and principles. Indeed, several systems, despite evi-dent differences, appear and develop following common laws and mechanisms. This paper introduces an analysis of a real inter-organizational innovation network with a network sci-enc...
The paper introduces an analysis of a real in-ter-organizational innovation network with a network science approach. The study is integrated with a Social Network Analysis referring to the EEN.
The paper introduces an analysis of a real inter-organizational innovation network with a network science approach. The study is integrated with a Social Network Analysis referring to the EEN.
We present a model to describe the inbound air traffic over a congested hub and we show that this model gives a very accurate description of the traffic by comparing our theoretical distribution of the queue with the actual distribution observed at Heathrow airport. We also discuss the robustness of our model.
![Figure 1: A scale-free network [1] and a power law degree distribution...](profile/Antonio-Iovanella/publication/258884380/figure/fig1/AS:297213784805396@1447872696943/A-scale-free-network-1-and-a-power-law-degree-distribution-trend-example_Q320.jpg)
This paper introduces the concept of choreography with respect to inter-organizational 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 organizationa...
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 this paper we present a mathematical model devoted to the description of the delays in an ATM context. Our objective is to analyse the benefits of an increased arrival predictability on ATM performance in terms of delays. We show that our model gives a description of the delays that is in good agreement with the actual data, collected in a large...
Hazardous material (hazmat) transportation has received several attention in the past. On the one hand, this is motivated
by the practical interest that hazmat transportation covers for safety reasons; on the other hand, it has attracted the study
of those researchers working on vehicle routing since relevant hazmat transportation issues are concer...
In this paper a semi-online algorithm for scheduling multiprocessor tasks with partial information is proposed. We consider the case in which it is possible to exploit probabilistic information and use this information to obtain better solutions in comparison with standard non clairvoyant on-line algorithms. A wide computational analysis shows the...
In this paper an on-line algorithm for the Rectangle Packing Problem is presented. The method is designed to be able to accept
or reject incoming boxes to maximize efficiency. We provide a wide computational analysis showing the behavior of the proposed
algorithm as well as a comparison with existing off-line heuristics.
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...
The characteristics of several issues, such as ICT infrastructure, learning objects, multimedia effects, way of teaching and tutoring, and interaction among the participants, all affect the quality of an e-learning system, though their impact varies accordingly with the specific e–learning system analysed. The object of our analysis is the e-learni...
In this paper, we deal with multiprocessor task scheduling with ready times and prespecified processor allocation. We consider an on-line scenario where tasks arrive over time, and, at any point in time, the scheduler only has knowledge of the released tasks. An application of this problem arises in wavelength division multiplexing broadcasting whe...
The Grid computing paradigm is originated from a new computing infrastructure for scientific research and cooperation, and is becoming an established technology for large-scale resource sharing and distributed integration. Two main problems arise: how to efficiently allocate resources to tasks and, after this, how to schedule them. In this article...
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...
In this paper we deal with multiprocessor task scheduling with ready times and prespecified processor allocation. In the studied problem tasks are not all available in the scheduler and can be executed only by a given ready time. Moreover, a task can be examined in order to be processed only when enters the scheduler. For this class of problems we...
We study the off and on-line 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 [12], it has been proven that in the case when all tasks have unit processing time the problem cannot be ap...
We study the o and on-line versions of the well known problem of scheduling a set of n independent multiprocessor tasks with prespeci ed processor allocations on a set of identical processors in order to minimize the makespan. Recently, in [12], it has been proven that in the case when all tasks have unit processing time the problem cannot be appro...
This paper deals with multiprocessor task scheduling with ready times, due dates and prespecified processor allocation. In the studied problem tasks are not initially all available in the scheduler and can be executed only by given ready times, respecting their due dates. Moreover, a task can be examined in order to be processed only when it enters...
In this paper we face the problem arising in an enterprise that must decide whether and when scheduling production orders in order to maximize the production efficiency. In particular we developed an on-line scheduling algorithm able to manage such decisions. Computational results are provided to show the performance of the algorithm.
Projects
Projects (5)
Dear colleagues,
we are submitting a proposal within COST programme (European Cooperation in Science and Technology: cost.eu) for building a network of experts in Complexity Theory in the field of Business and Economics.
We are looking for scholars doing research in the application of Complexity Theory principles and methodologies in the areas of:
• Organizational design, communication, behaviours and structure
• Operations and Supply Chain management
• Innovation and Project Management
• Macroeconomics and Finance
• Methodological developments in Agent-based modelling, Social Network Analysis, Text mining, Machine learning
AND with affiliation in the following countries: Bulgaria, Cyprus, Czech Republic, Croatia, Hungary, Latvia, Luxemburg, Malta, Portugal, Slovenia, Slovakia, Albania, Bosnia-Herzegovina, Montenegro, the former Yugoslav Republic of Macedonia, Republic of Serbia, Turkey
If you are interested in joining the network and knowing more about the proposal, please contact Elena Pessot at elena.pessot@stiima.cnr.it
Workshop theme /Aims and Scope
Complex systems of interdependent agents can be found everywhere at multiple scales, from the macro level, including industries, markets, and countries, to the micro level, involving firms and individuals. Therefore, modern organizations have to deal with a broad range of problems that present different configurations of complexity, such as: 1) diversity and heterogeneity of agents and their links, 2) interdependent structures among agents, 3) ambiguity of available information and 4) environmental dynamics. One of the most important element of complexity is network theory, which investigates structures and dynamics of interaction between social actors. It aims at revealing the principles that make networks more robust and efficient, considering a risk of failure, possibly induced by increasing interconnectedness.
Investigating economic complexity calls for dynamic approaches. They permit to model complex system behaviors, reproducing the internal dynamics of the entire system from the bottom, focusing on its micro attributes such as the agents, their attributes, actions, goals, and the network structure connecting them.
Venue
The workshop will be held on March 25, 2020 at LIUC- Cattaneo University located in Corso Matteotti 22.
The meeting will take place in Auditorium, Building M4 (ground floor)
For registration: http://w3.liuc.it/iscrizioni/f.php?f=606
International Journal of Computational Economics and Econometrics (IJCEE) -
Call for paper, special issue on: "Machine Learning, Artificial Intelligence and Big Data: Methods and New Perspectives for Research and Society"
Important dates:
- manuscripts due by 30 November 2018
- notification to authors 21 January 2019
- final version 1 April 2019