The 5th International Workshop on Complex Networks and their Applications

November 30 - December 02 2016

Milan, Italy

Contribution Types

Two types of contributions are accepted:

  • Full Paper: Full Papers are recommended to be between 8-10 pages. They should not exceed 12 pages in total including bibliography.
  • Extended Abstract: Extended Abstracts are recommended to be between 1-2 pages. They should not exceed 3 pages.

We will not accept any paper that, at the time of submission, is under review or has already been published or accepted for publication in a journal or conference. This restriction does not apply to extended abstracts since they are not targeted for publication in the proceedings. If in doubt, please contact the PC Chairs.


Each submission must follow the Springer publication format available on the website of Studies in Computational Intelligence Series in the Authors and Editors instructions entry.

  • LaTeX templates are available here
  • Word templates are available here

For more information refer to the Springer Website.


All contributions should be submitted electronically online via EasyChair.

  1. Visit
  2. If you haven't got a login, you’ll be asked to create one
  3. Once you’re logged, select the option “New Submission” and enter the authors' information
  4. Enter the abstract of your contribution. In case you are submitting an Extended Abstract, the EasyChair field "abstract" should not be used for writing the entire Extended Abstract
  5. Enter at least 3 keywords
  6. Select between 1 to 3 topics from the list provided
  7. Select your contribution category and upload your abstract or paper. Click on “Submit” to upload your contribution to the reviewing system. Only pdf files using the proper format will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits.

After this process, you should receive an email indicating the submission was successful. If you don’t receive this email you should contact the program chairs. Please check your spam folder as the automated message may be stored there.


All submitted contributions will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by at least two reviewers. The organizers will examine the reviews and make the final papers selection.


Full papers accepted for publication will be published by Springer-Verlag on the Studies in Computational Intelligence Series. Authors will be required to transfer copyright to Springer. The books of this series are submitted for indexing to SCOPUS, DBLP, MathSciNet, Zentralblatt Math, MetaPress, Ulrichs and Springerlink.

Book of Abstracts

Accepted Extended Abstracts will be published in the Book of Abstract (with ISBN) along with the abstracts of the keynote presentations.

General Chair

Hocine Cherifi
University of Burgundy, France

Program Co-Chairs

Sabrina Gaito
University of Milan, Italy
Walter Quattrociocchi
IMT Institute for Advanced Studies, Italy
Alessandra Sala
Bell Labs Dublin, Ireland

Poster Chairs

Chantal Cherifi
University of Lyon2, France
Antonio Scala
Sapienza University, Italy

Publicity Chair

Bruno Gonçalves
New York University, USA

Local arrangement Co-Chairs

Sabrina Gaito
University of Milan, Italy
Carlo Piccardi
Politecnico di Milano, Italy

Program Committee


Matteo Zignani, University of Milan, Italy

At least one author must attend the conference to present his/her papers.

Registration Information

Author registration: 03 October - 20 October, 2016

To be updated

Host City: Milan, Italy

Milan, the capital of Lombardy, is Italy's economic and financial heart. Fashion, design, finance and media are the advanced sectors that drive its economy. Milan has eleven university centers with 44 faculties and 174,000 new students each year. This history in education and advanced research goes hand in hand with invention and innovation from the Romans to Leonardo da Vinci and Marconi and continues in recent years. The great Italian masters of the past have left their sign on the history of art, followed in the 20th century by internationally influential Futurists and Arte Povera group. Milan offers a total of 150 art galleries, 28 museums and 38 theatres.  Opera lovers will be able to enjoy performances at La Scala. For more information about the city and what’s going on in Milan refer to the tourism official website.

Host Institution: The University of Milan

A leading institute in Italy and Europe for scientific productivity, the University of Milan is the largest university in the region, with approximately. The University of Milan also possesses a remarkable artistic and cultural heritage that includes important historic buildings, inherited and acquired collections, archives, botanical gardens and the old Brera Observatory commissioned by Maria Teresa of Austria. The University’s departments are housed in important historic edifices in the centre of Milan and in modern buildings in the area known as Città Studi (the City of Studies). The University also has a Choir and its own Orchestra, which actively contributes to the cultural life of the city and receives international acknowledgements on an increasingly frequent basis.

Venue: Sala Napoleonica di Palazzo Greppi

Via S. Antonio, 12

The 18th-century Palazzo Greppi has been designed by Giuseppe Piermarini who built the Scala Theatre in Milan.

Palazzo Greppi commissioned by Count Antonio Greppi, banker and entrepreneur recently nobility, was among the first models of the Milanese neoclassicism.

The staircase and the main floor rooms still retain the neoclassical decoration work of Giocondo Albertolli, Martin Knoller and Andrea Appiani.

How to reach the Workshop Venue

  • Underground line MM1 Red line get off at stop “Duomo”, walk 600 meters
  • Underground line MM3 Yellow line get off at stop “Missori”, walk 450 meters
  • Surface lines 60, 73 bus, get off at stop “L.go Augusto”, walk 500 meters
  • Surface line 12, 27, 24, 16 trolley (tram), get off at stop Missori M3

Complex Networks is Social 2.0

We are on


Guido Caldarelli studied Statistical Physics, and he works in the field of Complex Networks. He got his degree in 1992 in Rome (La Sapienza), his PhD in 1996 in Trieste (SISSA). After Postdocs in Manchester and Cambridge he became firstly "Research Assistant" in INFM and secondly "Primo Ricercatore" at ISC-CNR where he is still working with many friends and colleagues. Presently he is Full Professor of Physics at IMT Lucca, and a LIMS Fellow. From November 15th 2015 he is the Vice-President of the Complex Systems Society.
Raissa D’Souza is Professor of Computer Science and of Mechanical Engineering at the University of California, Davis, as well as an External Professor at the Santa Fe Institute. She received a PhD in Statistical Physics from MIT in 1999, then was a postdoctoral fellow at Bell Laboratories and at Microsoft Research. Her interdisciplinary work on network theory spans the fields of statistical physics, theoretical computer science and applied math, and has appeared in journals such as Science, PNAS, and Physical Review Letters. She serves on the editorial board of numerous international mathematics and physics journals, is a member of the World Economic Forum's Global Agenda Council on Complex Systems, and is the President of the Network Science Society.
After a PhD in Physics at ULB, and Post-docs at ULg, UCLouvain and Imperial College, he is currently associate professor in the Department of Mathematics of the University of Namur. His recent research includes the development of algorithms to uncover information in large-scale networks, the study of empirical data in social and biological systems, and the mathematical modelling of human mobility and diffusion on networks. He has authored more than 60 publications in peer-reviewed journals and conference proceedings, with around 5000 citations (Google Citations). He also acts as an academic editor for PLoS One and the European Physical Journal B.
Prof. Yamir Moreno is the head of the Complex Systems and Networks Lab (COSNET) since 2003 and is also affiliated to the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. He is the Deputy Director of the Institute for Bio-computation and Physics of Complex Systems (BIFI) and member of its Government Board and Steering Committee. He has been working on nonlinear dynamical systems coupled to complex structures, transport processes and diffusion with applications in communication and technological networks, dynamics of virus and rumors propagation, game theory, systems biology, the study of more complex and realistic scenarios for the modeling of infectious diseases, synchronization phenomena, the emergence of collective behaviors in biological and social environments, the development of new optimization data algorithms and the structure and dynamics of socio-technicaland biological systems. He has published more than 145 scientific papers in international refereed journals and he serves as reviewer for around 30 scientific journals and research agencies. His research works have collected more than 9300 citations (h=39). At present, he is a member of the Editorial Board of Scientific Reports, Applied Network Science and Journal of Complex Networks, and Academic Editor of PLoS ONE. Prof. Moreno is the elected President of the Complex Systems Society (CSS) and also belongs to its Executive Committee and Council. He is also the Vice-President of the Network Science Society and a member of the Future and Emerging Technology Advisory Group of the European Union’s Research Program: H2020. Besides, he belongs the Advisory Board of the WHO Collaborative Center “Complexity Sciences for Health Systems” (CS4HS), whose headquarters is at the University of British Columbia Centre for Disease Control, in Vancouver, Canada. He is a Fellow of the Institute for Scientific Interchange Foundation (ISI), Turin, Italy since 2013.
Eiko Yoneki is an EPSRC Research Fellow leading Data Centric Systems and Networking Group in the University of Cambridge Computer Laboratory Systems Research Group. She received her Ph.D. degree from the University of Cambridge in December, 2007 (Data Centric Asynchronous Communication) and a Postgraduate Diploma in Computer Science from the University of Cambridge in 2003. Previously, she has spent several years with IBM (US, Japan, Italy and UK) working on various networking products.
Ben Zhao is a Professor at the Computer Science department, U. C. Santa Barbara. He completed his M.S. and Ph.D. degrees in Computer Science at U.C. Berkeley (2000, 2004), and his B.S. from Yale (1997). He is a recipient of the National Science Foundation's CAREER award, MIT Technology Review's TR-35 Award (Young Innovators Under 35), ComputerWorld Magazine's Top 40 Technology Innovators award, Google Faculty awards, the IEEE ITC Early Career Award, and an ACM Distinguished Scientist. His work has been covered by media outlets such as New York Times, Boston Globe, MIT Tech Review, and Slashdot. He has published over 120 publications in areas of security and privacy, networked and distributed systems, wireless networks, data-intensive computing and HCI, with more than 20,000 citations (H-index 51). Finally, he has chaired a number of conferences (WOSN, WWW OSN track, IPTPS, IEEE P2P), and the upcoming World Wide Web Conference (WWW 2016). He is a co-founder and on the steering committee of the ACM Conference on Online Social Networks (COSN).
Professor Estrada has an internationally leading reputation for shaping and developing the study of complex networks. His expertise ranges in the areas of network structure, algebraic network theory, dynamical systems on networks and the study of random models of networks. He has a distinguished track record of high-quality publications, which has attracted more than 8, 500 citations. His h-index (number of papers with at least h citations) is 53. His publications are in the areas of network theory and its applications to social, ecological, engineering, physical, chemical and biological real-world problems. Professor Estrada has published two text books on network sciences both published by Oxford University Press in 2011 and 2015, respectively. He has demonstrated a continuous international leadership in his field where he has been invited and plenary speaker at the major conferences in network sciences and applied mathematics. His research interests include the use of matrix functions; random geometric networks; generalised Laplacian operators for networks; generalised diffusion models for networks; study of indirect peer pressure over consensus dynamics on networks; applications of network sciences to oil and gas exploration; spatial efficiency of networks; Euclidean geometrical embedding of networks, among many others.
Consensus is well documented across the social sciences, with examples ranging from behavioral flocking in popular cultural styles, emotional contagion, collective decision making, pedestrians’ walking behavior, and others. We can model consensus in a social group by encoding the state of each individual at a given time in a vector. The group reaches consensus at when the difference in the “opinions” for every pair of individuals is asymptotically zero, and the collective dynamics of the system is modeled by a diffusion equation dominated by the graph Laplacian. Decisions in groups trying to reach consensus are frequently influenced by a small proportion of the group who guides or dictates the behavior of the entire network. In this situation a group of leaders indicates and/or initiates the route to the consensus, and the rest of the group readily follows their attitudes. The study of leadership in social groups has always intrigued researchers in the social and behavioral sciences. Specifically, the way in which leaders emerge in social groups is not well understood. Leaders may emerge either randomly in response to particular historical circumstances or from the individual having the most prominent position (centrality) in the social network at any time. In this tutorial I will introduce the theoretical model of consensus in a network, for the general case of undirected as well as directed ones. First, I will introduce the mathematical concepts of the model, and show when in every case there is a consensus in the network. I will also introduce some properties of the Laplacian matrix for networks that will help to understand the main results of the model. Then, I will introduce a controllability problem and its solution in networks consisting of leaders and followers. Following this initial part I will how to use Matlab to model a consensus process in a given network (codes will be provided to participants). At this point I will motive the necessity of considering the indirect influence of peers apart from the direct peers pressure. In mathematical terms I will make a generalization of the Laplacian matrix on graphs to consider the k-path Laplacians and their transform. Using this transformed k-path Laplacians I will show how to study a few interesting topics on networks, such as the controllability of networks, the selection of leaders, the diffusion of innovations under direct+indirect peers pressure. Finally, I will prove and illustrate how the consensus and diffusion of innovations can be superdiffusive or ballistic in complex networks under the effect of direct and indirect peers pressure. Some examples, such as diffusion of methods among high schools or the adoption of a biotechnological product among farmers will be used in the tutorial.

Extended version of accepted contributions (full papers and extended abstracts) will be invited for publication in special issues of the journals:

Papers will be subject to a fast track review procedure.

The manuscript submission deadline is February 15, 2017.

Papers will be published as soon as they are accepted.