Curriculum Vitae Roberta Sinatra
Total Page：16
File Type：pdf, Size：1020Kb
Load more
Recommended publications
-
![Arxiv:2004.14879V1 [Physics.Soc-Ph] 30 Apr 2020](https://docslib.b-cdn.net/cover/1762/arxiv-2004-14879v1-physics-soc-ph-30-apr-2020-2651762.webp)
Arxiv:2004.14879V1 [Physics.Soc-Ph] 30 Apr 2020
Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms Oriol Artime1, Valeria D'Andrea1, Riccardo Gallotti1, Pier Luigi Sacco2;3;4, Manlio De Domenico1 1CoMuNe Lab, Fondazione Bruno Kessler, Via Sommarive 18, 38123 Povo (TN), Italy. 2Fondazione Bruno Kessler, Via Santa Croce, 77, 38122 Trento, Italy. 3IULM University, Via Carlo Bo, 1, 20143 Milan, Italy. 4Berkman-Klein Center for Internet & Society, Harvard University, 23 Everett St # 2, Cambridge MA 02138 USA. May 1, 2020 Abstract Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known about how their terms of service and posting rules affect the way users interact and information spreads. Acknowledging the relation between network connectivity and functionality, we compare the robustness of two different online social platforms, Twitter and Gab, with respect to dismantling strategies based on the recursive censor of users characterized by social prominence (degree) or intensity of inflammatory content (sentiment). We find that the moderated (Twitter) vs un-moderated (Gab) character of the network is not a discriminating factor for intervention effectiveness. We find, however, that more complex strategies based upon the combination of topological and content features may be effective for network dismantling. Our results provide useful indications to design better strategies for countervailing the production and dissemination of anti-social content in online social platforms. 1 Introduction Online social networks provide a rich laboratory for the analysis of large-scale social interaction and of their social effects [1, 2, 3, 4]. They facilitate the inclusive engagement of new actors by removing most barriers to participate in content-sharing platforms characteristic of the pre-digital era [5]. -
Network Science Introduction
1 ALBERT-LÁSZLÓ BARABÁSI NETWORK SCIENCE INTRODUCTION ACKNOWLEDGEMENTS MÁRTON PÓSFAI PHILIPP HOEVEL GABRIELE MUSELLA SARAH MORRISON MAURO MARTINO AMAL HUSSEINI ROBERTA SINATRA INDEX Vulnerability Due to Interconnectivity 1 Networks at the Heart of Complex Systems 2 Two Forces Helped the Emergence of Network Science 3 The Characteristics of Network Science 4 Societal Impact 5 Scientific Impact 6 Summary 7 Homework 8 Bibliography 9 Figure 1.0 (front cover) Mark Lombardi: Global International Airway and Indian Spring State Bank Mark Lombardi (1951 – 2000) was an Amer- ican artist who documented “the uses and abuses of power.” His work was preceded by careful research, resulting in thousands of in- dex cards, whose number began to overwhelm his ability to deal with them. Hence Lombardi began assembling them into hand-drawn dia- grams, intended to focus his work. Eventually these diagrams became a form of art on their own [1]. The image shows one such drawing, created between 1977 and 1983 in colored pen- cil and graphite on paper. This work is licensed under a Creative Commons: CC BY-NC-SA 2.0. PDF V26, 03.09.2014 SECTION 1.1 VULNERABILITY DUE TO INTERCONNECTIVITY At a first glance the two satellite images of Figure 1.1 are indistinguish- (a) able, showing lights shining brightly in highly populated areas and dark spaces that mark vast uninhabited forests and oceans. Yet, upon closer in- spection we notice differences: Toronto, Detroit, Cleveland, Columbus and Long Island, bright and shining in (a), have have gone dark in (b). This is not a doctored shot from the next Armageddon movie but represents a real im- age of the US Northeast on August 14, 2003, before and after the blackout that left without power an estimated 45 million people in eight US states and another 10 million in Ontario. -
Graph Minor from Wikipedia, the Free Encyclopedia Contents
Graph minor From Wikipedia, the free encyclopedia Contents 1 2 × 2 real matrices 1 1.1 Profile ................................................. 1 1.2 Equi-areal mapping .......................................... 2 1.3 Functions of 2 × 2 real matrices .................................... 2 1.4 2 × 2 real matrices as complex numbers ............................... 3 1.5 References ............................................... 4 2 Abelian group 5 2.1 Definition ............................................... 5 2.2 Facts ................................................. 5 2.2.1 Notation ........................................... 5 2.2.2 Multiplication table ...................................... 6 2.3 Examples ............................................... 6 2.4 Historical remarks .......................................... 6 2.5 Properties ............................................... 6 2.6 Finite abelian groups ......................................... 7 2.6.1 Classification ......................................... 7 2.6.2 Automorphisms ....................................... 7 2.7 Infinite abelian groups ........................................ 8 2.7.1 Torsion groups ........................................ 9 2.7.2 Torsion-free and mixed groups ................................ 9 2.7.3 Invariants and classification .................................. 9 2.7.4 Additive groups of rings ................................... 9 2.8 Relation to other mathematical topics ................................. 10 2.9 A note on the typography ...................................... -
Network Workbench Tool User Manual 1.0.0
Network Workbench Tool User Manual 1.0.0 Getting Started General Tutorial Domain Specific: Information Science Tutorial Domain Specific: Social Science Tutorial Domain Specific: Scientometrics Tutorial Updated 09.16.2009 Project Investigators: Dr. Katy Börner, Dr. Albert-László Barabási (Northeastern University), Dr. Santiago Schnell (University of Michigan), Dr. Alessandro Vespignani, Dr. Stanley Wasserman, and Dr. Eric A. Wernert Programmers: Weixia (Bonnie) Huang, Russell J. Duhon, Micah W. Linnemeier, Patrick Phillips, Chintan Tank, Joseph Biberstine, Timothy Kelley, Duygu Balcan, Mariano Beiró (Universidad de Buenos Aires, Argentina), Bruce W. Herr II, Santo Fortunato (Institute for Scientific Interchange Foundation, Torino, Italy), Ben Markines, Felix Terkhorn, Heng Zhang, Megha Ramawat, César A. Hidalgo (Harvard University), Ramya Sabbineni, Vivek Thakre, Ann McCranie, Alessandro Vespignani, and Katy Börner Users, Testers & Tutorial Writers: Katy Börner, Angela Zoss, Hanning Guo, Scott Weingart, Ann McCranie, Mark A. Price (at Indiana University unless otherwise specified) Cyberinfrastructure for Network Science Center School of Library and Information Science Indiana University, Bloomington, IN http://cns.slis.indiana.edu For comments, questions or suggestions, please post to the [email protected] mailing list. 1 Table of Contents 1. GETTING STARTED.............................................................................................................................................4 1.1 INTRODUCTION .....................................................................................................................................................4 -
Fractal Characterization of Complex Networks Msc Thesis
Budapest University of Technology and Economics Institute of Mathematics Department of Stochastics Fractal Characterization of Complex Networks MSc Thesis Roland Molontay Supervisor: Prof. K´arolySimon Professor of Mathematics, Head of Department of Stochastics, Budapest University of Technology and Economics 2015 Contents Acknowledgements 2 1 Introduction 3 1.1 Network science and mathematics . .4 1.2 Definitions and notation . .6 2 Fractality and self-similarity of complex networks 10 2.1 Box covering and fractality . 11 2.2 Box-covering algorithm . 14 2.3 Renormalization and self-similarity . 18 2.4 Network dimensions and their connection . 21 2.5 Further network dimensions . 24 2.6 Origins and influence of fractality . 26 2.6.1 The \repulsion between hubs" principle . 26 2.6.2 Skeleton of complex networks . 33 2.6.3 Influence and importance of fractality . 35 3 Fractal network models 38 3.1 Song-Havlin-Makse-model . 38 3.2 (u,v)-flowers and -trees . 41 4 Summary 47 Bibliography 55 1 Acknowledgements First and foremost I would like to express my greatest gratitude to my su- pervisor, Prof. K´arolySimon, without his kind help and invaluable advices I would not have been able to write my thesis. I have benefited greatly from his helpful comments and suggestions during the preparation of my thesis. I am thankful for his continuous assistance and tremendous support. I am greatly indebted to Dr. J´uliaKomj´athy, the co-supervisor of my BSc thesis, for introducing me to the world of network theory and also for her guidance during my MSc studies in spite of the fact that she moved to Eindhoven. -
SOME WORDS ABOUT NETWORKS Gives a Collection About His Lectures and Offered As a Breviary for Scientists
P E T E R G . G Y A R M A T I ( 1 9 4 1 ) a PETER G. GYARMATI mathematician and electronic engineer worked trough years as a research professor with networks. The object of his many lectures gave us an overview about network science and also some of us went into deep research with him on details using hard math disciplines. This book SOME WORDS ABOUT NETWORKS gives a collection about his lectures and offered as a breviary for scientists. 2011. TI: SOME WORDS ABOUT NETWORKS ARMA PETER G. GY TCC COMPUTER STUDIO Peter G. Gyarmati Some words about Networks SOME WORDS ABOUT NETWORKS Compiled by Peter G. Gyarmati TCC COMPUTER STUDIO 2011. Some articles of this compilation originated from different sources. Unfortunately I could not list of them. Anyway, I have to express my thanks to all the contributors making possible this compilation. I also have to express thanks to them in the name of all the hopeful Readers. Imagine a world in which every single human being can freely share in the sum of all knowledge. ---------------------------------------------------------------------------------------------------- For additional information and updates on this book, visit www. gyarmati.tk www.gyarmati.dr.hu ---------------------------------------------------------------------------------------------------- Copying and reprinting. Individual and nonprofit readers of this publication are permitted to make fair use, such as to make copy a chapter for use in teaching or research, provided the source is given. Systematic republication or multiple reproductions requires the preliminary permission of either the publisher or the author. ISBN 978-963-08-1468-3 Copyright © Peter G. Gyarmati, 2011 Some words about Networks Table of contents 1. -
Alessandro Vespignani
Alessandro Vespignani Laboratory for the Modeling of Biological and Socio-technical Systems (MoBS) Northeastern University, Boston , MA, USA Phone: 617-373-7367 Fax: 617-373-7971 E-Mail: [email protected] http://www.mobs-lab.org/ Professional Experience Sternberg Distinguished University Professor, Northeastern University, USA 2011 – present Joint appointments at the Physics department, College of Computer and Information Sciences, Bouve’ College of Health Science. Director of the Network Science Institute. J.H. Rudy Professor, School Of Informatics and Computing, Indiana University, USA 2008 – 2011 Associate Director of the Pervasive Technology Institute; Director of the Center for Complex Networks and Systems. Professor, School of Informatics and Computing, Indiana University, USA 2004 – 2008 Affiliate Biocomplexity Institute. & Cognitive Science program. Senior Researcher 1st class, National Council for Scientific Research (CNRS), France 2002 – 2004 Core Faculty, Laboratoire de Physique Theorique, University of Paris-Sud, France. Senior Researcher, International Center for Theoretical Physics, Trieste Italy 1997 – 2002 The United Nations Educational, Scientific and Cultural Organization (UNESCO) Marie Curie Post Doctoral fellow, Instituut Lorentz, Leiden University, The Netherlands 1995 – 1997 Supervisor: Prof. J.M.J. van Leeuwen. Research Associate, Mathematics Department, Yale University, USA 1994 – 1995 Supervisor: Prof. B.B. Mandelbrot. Education Ph.D. in Theoretical Physics, University of Rome “La Sapienza”, Rome, Italy 1994 Laurea cum Laude in Phsyics, University of Rome “La Sapienza”, Rome, Italy 1990 Short Bio Dr. Vespignani is currently Sternberg Family Distinguished University Professor at Northeastern University where he is the founding director of the Northeastern Network Science Institute. Prof. Vespignani received his undergraduate degree and Ph.D., both in physics, from the University of Rome “La Sapienza”. -
Download Thesis
This electronic thesis or dissertation has been downloaded from the King’s Research Portal at https://kclpure.kcl.ac.uk/portal/ Quantitative semantics and graph theory as a framework for complex systems modeling Gramatica, Ruggero Awarding institution: King's College London The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without proper acknowledgement. END USER LICENCE AGREEMENT Unless another licence is stated on the immediately following page this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to copy, distribute and transmit the work Under the following conditions: Attribution: You must attribute the work in the manner specified by the author (but not in any way that suggests that they endorse you or your use of the work). Non Commercial: You may not use this work for commercial purposes. No Derivative Works - You may not alter, transform, or build upon this work. Any of these conditions can be waived if you receive permission from the author. Your fair dealings and other rights are in no way affected by the above. Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 07. Oct. 2021 King's College London Doctoral Thesis Quantitative semantics and graph theory as a framework for complex systems modeling Author: Supervisor: Ruggero Gramatica Prof. -
Dynamical Processes on Complex Networks
This page intentionally left blank DYNAMICAL PROCESSES ON COMPLEX NETWORKS The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connec- tions. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statis- tical mechanics, to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject. ALAIN BARRAT is Senior Researcher at the Laboratoire de Physique Theorique´ (CNRS and Universite´ de Paris-Sud, France), and the Complex Networks Lagrange Laboratory at the Institute for Scientific Interchange in Turin, Italy. His research interests are in the field of out-of-equilibrium statistical mechanics. MARC BARTHELEMY´ is Senior Researcher at the Departement´ de Physique Theorique´ et Appliquee´ at the Commissariat al’` Energie´ Atomique (CEA), France. His research interests are in the application of statistical physics to com- plex systems. ALESSANDRO VESPIGNANI is Professor of Informatics and Adjunct Professor of Physics and Statistics at Indiana University, USA, and Director of the Complex Networks Lagrange Laboratory at the Institute for Scientific Interchange in Turin, Italy. -
Curriculum Vitae
CURRICULUM VITAE Alessandro Vespignani Professor, School of Informatics, Indiana University 1900 East 10th Street, Eigenmann Hall, Bloomington, IN 47406, USA Phone: +1-812-856-1829, Fax: +1-812-856-1995 Email: [email protected] http://cx.informatics.indiana.edu EDUCATION • Ph.D. in Theoretical Physics, University of Rome, Italy, 1994 • Laurea in Physics, University of Rome, Italy, 1990 PROFESSIONAL EXPERIENCE • Coordinator of the Complex Systems group, Indiana University, Aug. 2006 - present • Adjunct Professor of Statistics, Indiana University, Sept. 2006 - present • Professor, School of Informatics, Indiana University, Aug. 2004 - present • Adjunct Professor of Physics, Indiana University, Aug. 2004 - present • Professor in Cognitive Science, Indiana University, Nov. 2004 – present • Member at large, French National Research Council, France, Nov. 2004 - present • Faculty of the Laboratoire de Physique Theorique, University of Paris-Sud, France, 2002 - 2004 • Charge’ de Recherche de 1re class, French National Research Council, France, 2002 - 2004 • Associate Professor, International Center for Theoretical Physics UNESCO, Trieste, Italy, 2001- 2002 • Senior researcher, International Center for Theoretical Physics, UNESCO, Trieste, Italy, 1997- 2001 • Postdoctoral Fellow, Instituut Lorentz, Leiden University, The Netherlands, 1995 - 1997 • Research Associate, Mathematics and Physics Dept.s, Yale University, USA, 1993-1994 • Doctoral Fellow, Department of Physics, University of Rome, Italy, 1990-1993 Fellowships & Affiliations • Steering -
Epidemic Spreading and Complex Networks - Alain Barrat, Vittoria Colizza, Alessandro Vespignani
COMPLEX NETWORKS - Epidemic Spreading And Complex Networks - Alain Barrat, Vittoria Colizza, Alessandro Vespignani EPIDEMIC SPREADING AND COMPLEX NETWORKS Alain Barrat Centre de Physique Théorique (CNRS UMR 6207), Marseille, France; Complex Networks and Systems Group, ISI Foundation, Turin 10133, Italy Vittoria Colizza Computational Epidemiology Lab, ISI Foundation, Turin 10133, Italy Alessandro Vespignani Center of Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN, USA; Pervasive Technology Institute, Indiana University, Bloomington, IN, USA; Complex Networks and Systems Group, ISI Foundation, Turin 10133, Italy Keywords: epidemiology, complex networks, contact patterns, mobility Contents 1. Introduction 2. Epidemic spreading 2.1. Generalities 2.2. Basic Epidemic Modeling: Compartmental Models, the Homogeneous Mixing Assumption and the Epidemic Threshold 2.2.1. Definition of the Compartmental Models 2.2.2. The Epidemic Threshold 2.3. Complex Networks in Epidemiology 3. Single Population Level: The Complex Network of Contacts 4. Modeling the Global Spread of Epidemics 5. Recent Advances 6. Final Remarks Acknowledgements Bibliography Biographical Sketches SummaryUNESCO – EOLSS The mathematical modeling of epidemics is a very active field of research which crosses differentSAMPLE disciplines. Epidemiologists, CHAPTERS computer scientists, and social scientists share a common interest in studying spreading phenomena and rely on very similar models for the description of the diffusion -
Project Final Report
PROJECT FINAL REPORT Grant Agreement number: 317532 Project acronym: MULTIPLEX Project title: Foundational Research on MULTIlevel comPLEX networks and systems Funding Scheme: FP7-ICT-2011-8 Collaborative Project Period covered: 48 months from 01/11/2012 to 31/10/2016 Name of the scientific representative of the project's co-ordinator1, Prof. Guido Caldarelli Title and Organisation: NATIONAL RESEARCH COUNCIL OF ITALY– INSTITUTE OF COMPLEX SYSTEM (CNR- ISC) Tel: +390649913120 Fax:+39-064463158 E-mail: [email protected] Project websiteError! Bookmark not defined. address: http://www.multiproject.eu 1 Usually the contact person of the coordinator as specified in Art. 8.1. of the Grant Agreement. 4.1 Final publishable summary report EXECUTIVE SUMMARY MULTIPLEX project lasted 4 years and gathered a Consortium composed by 23 different nodes, resulting in a project both longer and larger with respect to the “usual” FET scheme. The figures of the projects are impressive: • 23 different nodes in 16 different European Countries • It produced more than 400 scientific publications in international Journals, including high end journals like Physical Review (Letters, X, E), Nature, Nature Communication, PNAS, Science Advances, Nature Scientific Reports, PLOS. • 4 books have been published by participants plus the final one in preparation • Results have been disseminated by means of Schools, Conferences, Workshops and Sessions organised within the largest and most important events in the community: amongst which APS March meeting, NETSCI Conference, Conference on Complex Systems (CCS). Furthermore, two conferences, Lucca (E)CCS’14, and Zaragoza’s NETSCI’15 have been organised by the participants of Consortium (G. Caldarelli and Y.