The 6th International Conference on Complex Networks and Their Applications

November 29 - December 01 2017

Lyon, France

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
  • Examples of Extended Abstracts are available here. We suggest authors to start from the abstract TeX template

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

Advisory Board

Raissa D'Souza
University of California, Davis, USA
Sabrina Gaito
University of Milan, Italy
Ben Y. Zhao
University of Chicago, USA

Program Co-Chairs

Chantal Cherifi
University of Lyon2, France
Mirco Musolesi
University College London, UK
Marton Karsai
ENS de Lyon, France

Poster Chairs

Hamamache Kheddouci
University of Lyon1, France
Huijuan Wang
Delft University of Technology, Netherlands

Local Committee Chairs

Lounes Bentaha
University of Lyon2, France
Chantal Cherifi
University of Lyon2, France
Jannik Laval
University of Lyon2, France

Publicity Chairs

Bruno Gonçalves
New York University, USA
Feng Xia
Dalian University of Technology, China
Carlo Piccardi
Politecnico di Milano, Italy

Publication Chair

Sabrina Gaito
University of Milan, Italy

Tutorial Chair

Jinhu Lü
Chinese Academy of Sciences, China

Sponsor Chair

Eric Fleury
ENS de Lyon, France

Submission Chair

Christian Quadri
University of Milan, Italy

Web Chair

Matteo Zignani
University of Milan, Italy

Program Committee

Registration rates

The registration costs and benefits depend on the registration category and on the date of registration. Please read the instructions to make sure you register for the correct category. If in doubt, please contact Hocine Cherifi (


  • At least one author of each accepted contribution must be registered by the author registration deadline (October 25, 2016) in order for that contribution to appear in the proceedings or book of abstract and to be scheduled for presentation.
  • Attendees must register under one of the following registration categories.
  • All registration categories include access to technical sessions, lunches, coffee breaks and opening reception.
CategoryEarly (by Oct 20, 2016)Late (After Oct 20, 2016)Dinner BanquetProceedings
Paper Registration590€690€1 IncludedIncluded
Abstract Registration350€450€1 IncludedNot Included
Extra Paper300€350€-Not Included
Extra Abstract200€250€-Not Included
Regular Attendee350€400€1 IncludedNot Included
Student Attendee180€200€Not IncludedNot Included
  • Student fee is for non-author attendees. It is not available for authors of papers and abstracts.
  • Extra paper or abstract registration rate is applicable only once for each full registration. Authors with 3 papers must pay 2 papers registration and one extra paper.


Extra Dinner Banquet Ticket70€
Extra Copy of Proceedings70€
Extra Page Fee (max 2 Pages over the 12 pages limit)100€ per extra page

Workshop Registration Fees are non-Refundable


Tutorials will be offered on November 29, 2016. They will run from 1:30 PM to 6:00 PM. Please note that you do not need to register for the workshop to register for the tutorials.

Registration for 1 Tutorial 150€
Registration for 2 Tutorials 200€

Registration is on a first-come, first-served basis and is limited to 20 participants per tutorial. All the interested participants are kindly invited to register before October 25, 2016. It will be possible to register to tutorials after that date, provided that capacity constraints are not already violated.

For any problem, please send a e-mail to Hocine Cherifi (

Host City: Lyon, France

With a rich history spanning 2,000 years, the second city of France has a remarkable architectural heritage, from the Roman vestiges in the Fourvière district to the "traboule" passageways of the Vieux-Lyon Renaissance district, the stylish peninsula between the Rhône and Saône rivers, as well as the many contemporary projects (Jean Nouvel Opera House, Confluence Musem, etc.). The ancient capital of Gaul listed as a UNESCO World Heritage Site is a concentrate of France, even in its title of capital of gastronomy. With many Michelin-star restaurants, famous chefs, typical "bouchon" restaurants, café bistros and avant-gardist dining experiences: whatever your taste, there's something for you. Throughout the year, Lyon is alive with many events. One of the most famous, the Festival of Lights, which attract millions of visitors each year will take place the week after the conference from 08 to 10 December 2017. No doubt that you will fall under the spell of this romantic, festive and gourmet city. For more information about the city and what’s going on in Lyon refer to the tourism official website.

Host Institution: Université de Lyon 2

The Université de Lyon is a consortium of higher education and research institutions located within the two neighboring cities of Lyon and Saint-Étienne. It is composed of 12 members institutions including Lyon 1, Lyon 2 and ENS. Altogether, the Université de Lyon regroups 137,600 students and 168 public laboratories with 6,800 researchers and 5,400 PhD students. It is the main French higher education and scientific center outside the Parisian area. Lyon 2 University, our host institution, has two campuses: a historical site situated on the left bank of the Rhône in the heart of the city and the new “Porte des Alpes” campus located in the vicinity of Lyon. With around 30000 students, it is ranked the second French university in humanities and social sciences. In 1986, it has been named “Lyon 2 Lumière University” in homage to the Lumière brothers, born in Lyon, inventors of the cinematograph. Lyon 2 is part of the "Excellence Initiatives" (IDEX) project, whose goal is to boost the performance, the visibility and the attractiveness in research and teaching areas, by promoting the development of entrepreneurship, internationalization, and the interactions between enterprises, research labs and future PhD.

Venue: Grand Amphitheater of the Hirsch Palace

18 quai Claude Bernard

The Conference will take place in the prestigious setting of the historical Hirsch Palace of Lyon 2 University. Located on the left bank of the Rhône in the city center, at walking distance from Perrache train station, the palace was built by Abraham Hirsch at the end of the 19 th century to host the university. It was inaugurated on May 1, 1896. The Atrium, the Grand Amphitheater (parterre and balcony), the Salon Lirondelle, the Salle des Colloques, the reception hall and the main courtyard will host COMPLEX NETWORKS 2017. Enjoy the virtual tour through these different spaces!

How to reach the Conference Venue

  • From Paris:
    T.G.V. high-speed train from Paris (1 hr 58 mins) into Lyons' Perrache' or Part-Dieu' stations.
  • From Saint- Exupéry Airport:
    Arriving into the TGV station at St Exupéry airport, take the shuttle into Lyon from the airport.
  • Metro and tram in the city
    • Ticket and prices:
      Single ticket, valid for an hour over the entire network: 1.80 €
      By 10 tickets: 16.60 €
      Day combined network card valid for 24 hours: 5.60 € (48h: 11 € - 72h: 16€)
      You can also take the Lyon City Card that combine free entrance to museums and transport network use.
    • From Lyon Perrache' station:
      Follow the signs Métro Tramway. You then have 3 options:
      1. Take tramline T1 direction IUT Feyssine and get off at Quai Claude Bernard.
      2. Take tramline T2 direction St Priest Bel Air and get off at Centre Berthelot.
      3. You can go walking. The distance is around 1,2km and it takes between 15 to 20 minutes to reach the 18 Quai Claude Bernard.
    • From Lyon Part-Dieu' station:
      Exit at Vivier Merle and take tramline T1 direction Debourg and get off at Rue de l’Université. Walk 300 meters.
  • Download the TCL maps: map 1, map 2 and map 3

Hotels in Milan

We have arranged negotiated prices with the hotels listed below. You have to book by yourself as soon as possible and no later than the indicated deadline (when available).

Hotel Brunelleschi ****(Visit the website)

Address: Via Baracchini, 12, 20123 Milano - 300 m from the conference venue
Rates and availability for the days of the conference (rates do not include the city tax - € 5,00 per person/night):
  • Standard single room: €181,00 per night
  • Superior single room: €195,00 per night
  • Standard double room as single: €195,00 per night
  • Standard double room: €205,00 per night
  • Superior double room: €220,00 per night

Hotel Lloyd ****(Visit the website)

Address: Corso di Porta Romana, 48, 20122 Milano - 400 m from the conference venue
Rates and availability for the days of the conference (rates do not include the city tax - € 5,00 per person/night but include breakfast, vat and wi-fi):
  • Single room: €100,00 per night (bed and breakfast formula)
  • Double room: €120,00 per night (bed and breakfast formula)
Send an email to and specify the code CNA2016

Best Western Hotel Ascot ****(Visit the website)

Address: Via Lentasio, 3, 20122 Milano - 450 m from the confernce venue
Rates and availability for the days of the conference (rates do not include the city tax - € 5,00 per person/night):
  • 20 Single rooms: €110,00 per night (bed and breakfast formula).
  • 10 Double rooms: €130,00 per night (as a single, bed and breakfast formula), €140,00 per night (bed and breakfast formula)
  • Rates are available until 01/11/2016
Send an email to and specify you will attend "Complex Networks 2016" (code: "unimi complex networks")

Hotel Residence Romana ****(Visit the website)

Address: Corso di Porta Romana, 64 - 500 m from the conference venue
Rates: 15% on the best rate
Visit and insert the code COMPLEX16. The discount is available for arrivals from 27/11/16 to 01/12/06 and it is valid only through the website.

Uptown Palace ****(Visit the website)

Address: Via Santa Sofia, 10, 20122 Milano - 600 m from the conference venue
For rates and reservation, see the reservation form.
Booking code: "unimi complex networks"

Hotel Canada ***(Visit the website)

Address: Via Santa Sofia, 16, 20122, Milan - 650 m from the confernce venue
For rates and reservation, see here
Booking code: "unimi complex networks"

Mec Hotel ***(Visit the website)

Address: Via Tito Livio, 4, 20137 Milano - 19 minutes from the conference venue (Tram 16)
Rates and availability for the days of the conference (rates do not include the city Tax - € 4,00 per person/night):
  • Single room: €79,00 per night (bed and breakfast formula)
  • Double room as single: €91,00 per night (bed and breakfast formula)
  • Double room: €120,00 per night (bed and breakfast formula)
Send an email to and specify you will attend "Complex Networks 2016".

Other suggested hotels

  • Hotel 22 Marzo **- Piazza Santa Maria del Suffragio, 3, 20129 Milano - 13 min from the conference venue (Line 27 or Line 12)
  • Antica Locanda Leonardo *** - Corso Magenta, 78, 20123 Milano - 16 min from the conference venue (Line 27)
  • B&B Hotel Milano Sant'Ambrogio ***- via degli Olivetani, 4 20123 Milano - 25 min from the conference venue

Camera-ready version of your contribution is due no later than October, 16 2016.

Please take the reviewers' comments carefully into account when preparing it.

Do NOT use EasyChair to submit the camera-ready version of your submission but the submission system at

Camera-ready Preparation

Word Manuscript

  • Format the manuscript according to the Word template available here.
  • Generate the PDF file named "Abstract[*NUMBER*].pdf"

LaTex Manuscript

  • Format the manuscript according to the LaTex template available here.
    • If you used the LaTex template from the submission page of the website, you must change the document class from "svmult" to "llncs".
    • You can add packages to this template but do not remove any that are already included.
    • The template folder also contains the splncs03.bst BibTeX style sheet. Do not modify the following line in the template \bibliographystyle{splncs03}, it will ensure that your references are generated in the correct format.
  • If your manuscript is separated into several .tex files, combine them into a single, cohesive .tex file.
    • Bibliography can be submitted separately as .bib (see bibliotest.bib in the zip) or included in your main .tex file (do not use \input, \include or \externaldocument).
    • Figures should be placed in the directory containing the .tex manuscript (not in subdirectories). Therefore, the /includegraphics command should contain only the filename, es.:
    • We accept only EPS and TIFF (at least 600 dpi) files
    • Since figures are uploaded separately from your .tex file, remove EPS figures generated in the LaTeX file.
  • Once the manuscript is ready, generate the PDF file named Abstract[*NUMBER*].pdf

Submission instruction

You must upload the PDF file of your contribution together with the files used to generate it into the submission system at

  • If you access for the first time, click on "Register".
    • Provide the email associated to your EasyChair submission
    • Enter a password with at least 8 characters.
    • Log in, by clicking on "Login".
    • Click on the submission title.
  • Upload the PDF of your contribution (click on Add File).
  • Upload the files used to generate the PDF:
    • For Latex submission upload the single .tex manuscript, and optionally the figures (separately) and the .bib (bibliography).
    • For Word submission, upload the .doc or .docx file.

The page limit for the paper is 12 pages with the possibility of adding at most 2 extra pages for an extra fee.

Camera-ready Preparation

Copyright form

All authors submitting papers must grant Springer specific permission to publish the work "consent to publish" (CTP).

  • Print the CTP form, available here.
  • Write the title of your paper as well as the names of the authors at the top of the form and sign it.
  • Prepare a scanned version of the CTP form in a PDF file named "CTP[*NUMBER*].pdf"

Word Manuscript

  • Format the manuscript according to the Word template available here.
  • Generate the PDF file named "Paper[*NUMBER*].pdf"

LaTex Manuscript

  • Use the LaTex template, available here.
    • You can add packages to this template but do not remove any that are already included.
    • The template folder also contains the spmpsci.bst BibTeX style sheet. Do not modify the following line in the template \bibliographystyle{spmpsci}, it will ensure that your references are generated in the correct format.
  • If your manuscript is separated into several .tex files, combine them into a single, cohesive .tex file before the submission.
    • Bibliography can be submitted separately as .bib (see bibliotest.bib in the zip) or included in your main .tex file (do not use \input, \include or \externaldocument).
    • Figures should be placed in the directory containing the .tex manuscript (not in subdirectories). Therefore, the /includegraphics command should contain only the filename, es.:
    • We accept only EPS and TIFF (at least 600 dpi) files.
    • Since figures are uploaded separately from your .tex file, remove EPS figures generated in the LaTeX file.
  • Generate the PDF file named Paper[*NUMBER*].pdf

Submission instruction

  • You must upload into the submission system at
    • The PDF file of your contribution
    • The files used to generate the PDF
    • The completed and signed copyright form
  • If you access for the first time, click on "Register".
    • Provide the email associated to your EasyChair submission
    • Enter a password with at least 8 characters.
    • Log in, by clicking on "Login".
    • Click on the submission title.
  • Upload the signed PDF of the copyright form
  • Upload the PDF of your contribution (click on Add File).
  • Upload the files used to generate the PDF:
    • For Latex submission upload the single .tex manuscript, and optionally the figures (separately) and the .bib (bibliography).
    • For Word submission, upload the .doc or .docx file.

If you have any question about the submission process of your contribution contact :


Download the complete program and the timetable

Download the Book of Abstracts

Here you can find the proceedings

Prof. Alex Arenas (Barcelona, 1969) got his PhD in Physics in 1996. In 1995, he got a tenure position at Dept. Computer Science and Mathematics (DEIM) at Universitat Rovira i Virgili, and in 1997 he became associate professor at the same department. In 2000, he was visiting scholar at the Lawrence Berkeley Lab. (LBL) in the Applied Mathematics group of Prof. Alexandre Chorin (University of California, Berkeley). After this visit, he started a collaboration with Berkeley, and in 2007 he became visiting researcher of LBL. Arenas has written more than 160 interdisciplinary publications in major peer reviewed including Nature, Nature Physics, PNAS, Physics Reports and Physical Review Letters, which have received more than 9000 citations. He is one of the few Europeans serving as Associate Editors of the most important publication in physics worldwide, the American Physical Society journal, Physical Review. He is in charge of the Complex Networks and Interdisciplinary Physics section of Physical Review E. He got the James Mc Donnell Foundation award for the study of complex systems in 2011. He was also recognized as ICREA Academia-Institució Catalana de Recerca i Estudis Avançats, a catalan award that promotes the most recognized scientists from Catalonia. He serve as Editor in Journal of Complex Networks, and in Network Neuroscience. He was elected for the Steering Committee of the Complex Systems Society in 2012. He is the leader of the research group ALEPHSYS.
The determination of the most central agents in complex networks is important because they are responsible for a faster propagation of information, epidemics, failures and congestion, among others. A challenging problem is to identify them in networked systems characterized by different types of interactions, forming interconnected multilayer networks. Here we describe a mathematical framework that allows us to calculate centrality in such networks and rank nodes accordingly, finding the ones that play the most central roles in the cohesion of the whole structure, bridging together different types of relations. These nodes are the most versatile in the multilayer network. We investigate empirical interconnected multilayer networks and show that the approaches based on aggregating—or neglecting—the multilayer structure lead to a wrong identification of the most versatile nodes, overestimating the importance of more marginal agents and demonstrating the power of versatility in predicting their role in propagation processes with applications in social networks, banking networks, etc.
He received his PhD in Theoretical Physics in 2000 at the Department of Physics of the University of Bielefeld, Germany, working on lattice gauge theories, percolation and phenomenology of heavy-ion collisions. He switched to complexity science in 2004, and from 2005 till 2007 he has been postdoctoral researcher at the School of Informatics and Computing of Indiana University, working in the group of Alessandro Vespignani. From 2007 till 2011 he has been at ISI Foundation in Turin, Italy, first as research scientist then as a scientific leader. In 2011 he became Associate Professor in Complex Systems at the School of Science of Aalto University , Finland. He is currently full professor in the School of Informatics and Computing at Indiana University.
Complex systems typically display a modular structure, as modules are easier to assemble than the individual units of the system, and more resilient to failures. In the network representation of complex systems, modules, or communities, appear as subgraphs whose nodes have an appreciably larger probability to get connected to each other than to other nodes of the network. In this talk I will address three fundamental questions: How is community structure generated? How to detect it? How to test the performance of community detection algorithms? I will show that communities emerge naturally in growing network models favoring triadic closure, a mechanism necessary to implement for the generation of large classes of systems, like e.g. social networks. I will discuss the limits of the most popular class of clustering algorithms, those based on the optimization of a global quality function, like modularity maximization. Testing algorithms is probably the single most important issue of network community detection, as it implicitly involves the concept of community, which is still controversial. I will discuss the importance of using realistic benchmark graphs with built-in community structure, as well as the role of metadata.
Jennifer Neville is the Miller Family Chair Associate Professor of Computer Science and Statistics at Purdue University. She received her PhD from the University of Massachusetts Amherst in 2006. She is currently an elected member of the AAAI Executive Council and she was recently PC chair of the 9th ACM International Conference on Web Search and Data. In 2012, she was awarded an NSF Career Award, in 2008 she was chosen by IEEE as one of "AI's 10 to watch", and in 2007 was selected as a member of the DARPA Computer Science Study Group. Her work, which includes more than 100 publications with over 5000 citations, focuses on developing data mining and machine learning techniques for complex relational and network domains, including social, information, and physical networks.
Network science focuses on analyzing network structure in order to understand key relational patterns in complex systems. In contrast, relational machine learning typically conditions on the observed relations in a network, using them as a form of inductive bias to constrain the space of dependencies considered by the models. While recent interest in these two fields has produced a large body of research on models of both network structure and relational data, there has been less attention on the intersection of the two fields--specifically considering the impact of network structure on relational learning methods. Since many relational domains comprise a single, large, partially-labeled network, many of the conventional assumptions in relational learning are no longer valid and the network structure creates unique statistical challenges for learning and inference algorithms. This talk will outline some of the algorithmic and statistical challenges that arise due to partially-observed, large-scale networks, and describe methods for semi-supervised learning, latent-variable modeling, and sampling to address the challenges.
Daniele Quercia is a computer scientist and is currently building the Social Dynamics team at Bell Labs Cambridge UK, has been named one of Fortune magazine's 2014 Data All-Stars, and spoke about “happy maps” at TED. His research area is urban computing. His research received best paper awards from ACM Ubicomp 2014 and from AAAI ICWSM 2015, and an honorable mention from AAAI ICWSM 2013. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at The Computer Laboratory of the University of Cambridge, and Postdoctoral Associate at the Massachusetts Institute of Technology. He received his PhD from UC London. His thesis was sponsored by Microsoft ResearchCambridge and was nominated for BCS Best British PhD dissertation in Computer Science. During his PhD, he was MBA Technology Fellow at London Business School.
The corporate smart-city rhetoric is about efficiency, predictability, and security. “You’ll get to work on time; no queue when you go shopping, and you are safe because of CCTV cameras around you”. Well, all these things make a city acceptable, but they don’t make a city great. We are launching - a global group of like-minded people who are passionate about building technologies whose focus is not necessarily to create a smart city but to give a good life to city dwellers. The future of the city is, first and foremost, about people, and those people are increasingly networked. We will see how a creative use of network-generated data can tackle hitherto unanswered research questions. Can we rethink existing mapping tools (see)? Is it possible to capture smellscapes of entire cities and celebrate good odors (see)? And soundscapes (see)?
Frank Schweitzer has been Full Professor for Systems Design at ETH Zurich since 2004. He is also associated member of the Department of Physics at the ETH Zurich.
Frank Schweitzer received his first Ph.D. (Dr. rer. nat.) in theoretical physics at the age of 26, and his second Ph.D. (Dr. phil.) in philosophy of science at the age of 29, he further earned a habilitation/Venia Legendi in Physics. In his professional career, he worked for different research institutions (Max-Planck Institute for the Physics of Complex Systems, Dresden, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin) and universities (Humboldt University Berlin, Cornell University Ithaca NY, Emory University, Atlanta GA).
The research of Frank Schweitzer focuses on applications of complex systems theory in the dynamics of social and economic organizations. He is interested in phenomena as diverse as user interaction in online social networks, collective decisions in animal groups, failure cascades and systemic risk in economic networks, and the rise and fall of collaborations in socio-technical systems. His methodological approach can be best described as data-driven modeling, i.e., it combines the insights from big data analysis with the power of agent-based computer simulations and the strength of rigorous mathematical models. Frank Schweitzer is a founding member of the ETH Risk Center and Editor-in-Chief of ACS - Advances in Complex Systems and EPJ Data Science.
Epidemic spreading on complex networks is well studied because nodes follow a rather simple dynamics. Thus, the focus is mostly on how the network topology impacts the spreading process. However, modeling the spread of, e.g., emotions in online social networks requires us to have more refined models of the node dynamics, to calculate cascades of spreading influence. We capture the node dynamics by means of a data-driven modeling approach that allows us to test, and to calibrate, assumptions about the user behavior. In my talk, I present different examples of how to complement the topological perspective by a node-centric perspective that considers costs and benefits, emotional responses or information processing of users.
Katharin A. Zweig is a professor at the TU Kaiserslautern since 2012. As a studied biochemist and computer scientist, her postdoc was in the biophysics group of Prof. Dr. Tamás Vicsek at ELTE University Hungary. With this interdisciplinary background, she designed a new field of study called Socioinformatics at the TU Kaiserslautern. It is concerned with the impact of IT Systems on individuals, organizations, and society at large. In her research, Zweig first focused on understanding when to use which network analytic measure for a meaningful interpretation of the result. Her research has now broadened to the meaningful use of other types of data mining. She is a junior fellow of the German Society of Computer Science from 2013 (until 2018), was selected as a "Digital Head" in 2014 in Germany, and won the ars-legendi teaching prize in Engineering and Computer Science in 2017. She co-founded an initiative called "Algorithm Watch" in 2016 and counsels politics, churches, media authorities and foundations with respect to the impact of algorithms on society.
Why are there so many centrality indices? This is the question that puzzled me when I started into network analysis in 2003. Borgatti showed that centrality indices are best understood as tightly coupled to a specific kind of network flow or network process associated with it. His main idea, that centrality indices come with a model of a network flow or process, can be generalized to other types of data mining and quality measures. I will thus discuss the question of responsibility when measures are used in societally important algorithmic decision making systems, such as terrorist identification systems which include social network features.
Ginestra Bianconi is Associate Professor (Reader) and Director of the MSc in Network Science at the School of Mathematical Sciences at Queen Mary University of London, London, UK. Her research activity on network science includes network theory and its applications and has appeared in journal such as Science, PNAS, PRX and Physical Review Letters. In the last years her work have focused on multilayer networks, network geometry, percolation and network control.
Network theory has emerged almost twenty years ago, as a new field for characterizing interacting complex systems, such as the Internet, the biological networks of the cell, and social networks. This tutorial will provide a (personal) reflection on the maturity of the field, indicating the main results obtained so far and the big challenges that lie ahead. The hot topics that will be critically discussed include: multilayer networks, network geometry and percolation theory.
Francesco Bonchi is Research Leader at the ISI Foundation, Turin, Italy, where he's the head of the "Algorithmic Data Analytics" group. He is also (part-time) Principal Scientist for Data Mining at Eurecat (Technological Center of Catalunya),Barcelona. Before he was Director of Research at Yahoo Labs in Barcelona, Spain, where he was leading the Web Mining Research group.
His recent research interests include mining query-logs, social networks, and social media, as well as the privacy issues related to mining these kinds of sensible data. In the past he has been interested in data mining query languages, constrained pattern mining, mining spatiotemporal and mobility data, and privacy preserving data mining.
He is member of the ECML PKDD Steering Committee, Associate Editor of the newly created IEEE Transactions on Big Data (TBD), of the IEEE Transactions on Knowledge and Data Engineering (TKDE), the ACM Transactions on Intelligent Systems and Technology (TIST), Knowledge and Information Systems (KAIS), and member of the Editorial Board of Data Mining and Knowledge Discovery (DMKD). He has been program co-chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). Dr. Bonchi has also served as program co-chair of the 28th ACM Conference on Hypertext and Hypermedia (HT 2017), the 16th IEEE International Conference on Data Mining (ICDM 2016), the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the 1st IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He is co-editor of the book "Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques" published by Chapman & Hall/CRC Press.
He earned his Ph.D. in computer science from the University of Pisa in December 2003.
With the success of online social networks and microblogging platforms such as Facebook, Tumblr, and Twitter, the phenomenon of influence-driven propagations, has recently attracted the interest of computer scientists, sociologists, information technologists, and marketing specialists. In this talk we will take a data mining perspective, discussing what (and how) can be learned from a social network and a database of traces of past propagations over the social network. Starting from one of the key problems in this area, i.e. the identification of influential users, we will provide a brief overview of our recent contributions in this area. We will expose the connection between the phenomenon of information propagation and the existence of communities in social network, and we will go deeper in this new research topic arising at the overlap of information propagation analysis and community detection.

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 25, 2018.

Papers will be published as soon as they are accepted.

Poster Presentation

Poster format

Posters should be in portrait format and the maximal dimensions should be 84.1 cm wide x 118.9 cm high (A0 portrait). This size specification must be strictly adhered to in preparation of your posters. The conference organization will supply materials for mounting posters on the boards.

Poster presentation

Posters will be presented during a half-day daily session (Wednesday through Friday). Posters should be mounted before the session at their designated location and removed by the end of the session.
For the morning session posters should be mounted at 8:20 and removed at 12:15.
For the afternoon session posters should be mounted at 13:30 and removed at 18:15.
Each poster has been assigned a number and must be mounted on the appropriately numbered board. You can check the number by referring to the printed or on-line program.

Poster schedule

The author of the poster is requested to be stand by his/her poster throughout the duration of the scheduled session (please refer to the printed or on-line program for information on when your poster session is scheduled). Authors are encouraged to engage the audiences in technical discussion by making periodic presentations and answering questions.

Oral Presentation

Presentation duration

Presentation time is critical; each paper is allocated 15 minutes for lecture sessions. This time includes setup and questions. We recommend that presentation of your slides should take about 12 minutes, leaving 3 minutes for setup, introduction, summary, and questions from the audience. Recall that COMPLEX NETWORKS is a single track event and there will beplenty of time to discuss your work during the coffee breaks and social events.

Reporting to the session chair

All speakers must report to the session chair at the registration desk before the session at least 30min prior to the beginning of your session.

Uploading your presentation

In order to avoid technical issues, speakers are encouraged to use the laptop provided in the room. Your slides need to be uploaded into the conference computer prior to your presentation. Please bring your materials to the registration desk at least 30min prior to the beginning of your session.
For early morning sessions (Oral O1: Multiplex, Oral O5: Network Analysis and Oral O9: Biological Networks), if possible, upload your session the evening before your presentation.
In order to respect the schedule for uploading your presentation refer to the following table:

Session Day Time
Oral O1: Multiplex November 30, 2016 08:00 to 08:30. During registration
Oral O2: Network Analysis November30, 2016 10:15 to 10:30. During coffee break
Oral O3: Resilience, Control and Synchronization November 30, 2016 12:15 to 13:15. During lunch break
Oral O4: Networks in Finance and Economy November 30, 2016 15:15 to 15:30. During coffee break
Oral O5: Network Analysis December 01, 2016 08:00 to 08:30. During registration
Oral O6: Diffusion December 01, 2016 10:15 to 10:30. During coffee break
Oral O7: Dynamics on Networks December 01, 2016 12:15 to 13:15. During lunch break
Oral O8: Community and Hierarchy December 01, 2016 15:15 to 15:30. During coffee break
Oral O9: Biological Networks December 02, 2016 08:00 to 08:30. During registration
Oral O10: Epidemics December 02, 2016 10:15 to 10:30. During coffee break
Oral O11: Network Models December 02, 2016 12:15 to 13:15. During lunch break
Oral O12: Network Measures December 02, 2016 15:30 to 15:40. During coffee break

Please, bring the presentation on a USB flash drive.
Only Power Point presentations 97–2007 or 2010 (or higher versions) (.ppt or .pptx) and Adobe Acrobat files (.pdf) will be accepted.
If you need not standard fonts, these must be embedded into your presentation. If you have a video or audio file embedded in the presentation we recommend to use a standard video and audio codec compatible with Microsoft PowerPoint.

Using your own laptop

For timing efficiency, the rule is to use the laptop provided by the conference. Exceptionally, if you really need to use your own laptop you must request the permission at the registration desk as soon as possible and at least half a day before your presentation. For the morning session of November, 2016, please report to the registration desk November 29, 2016 in the afternoon. In case of a positive response, you must ensure long in advance that there are no technical issues. A VGA cable with male connector will be provided for hooking up your laptop. Please ensure to bring the proper adapter that will fit your computer.

Presentation format

Please prepare you presentation in 4:3 format.

For any problem/question please send an email to