Call for papers

Computer Science Track

This year, NetSci 2020 will feature a track on Computer Science which is dedicated to original unpublished works in the areas of network models, algorithms, and applications. We welcome papers on algorithmic and application topics related to networks and graph mining. Accepted papers will be published in a major Computer Science Proceeding series.
IMPORTANT DATES

Deadline for submission:

March 15, 2020 (23:59 CET) [extended]

Notification to authors:

April 20, 2020

Deadline for submission:

March 15, 2020 (23:59 CET) [extended]

Notification to authors:

April 20, 2020

Note that for each accepted contribution we require the presenting author to register before the end of the Early Bird (April 30).

Remote or recorded presentation will be allowed for speakers affected from travel restrictions due to the coronavirus outbreak.
HOW TO SUBMIT

Please submit your contribution through EasyChair:

Once you are logged, select the “NETSCI 2020 Call for Papers in Computer Science” and then follow the instructions in the “New Submission for NETSCI 2020″ form. Please enter at least 3 keywords for your submission in order to ease the assignment of reviewers.

TOPICS
Topics include but are not limited to:
Z

Social Networks Analysis

Z

Social Recommender Systems

Z

Fairness, Trustworthiness and Transparency in Social Media

Z

Influence, Viral Marketing and Information Propagation

Z

Sampling, Experiments, and Evaluation in Social Networks

Z

User Activity Modeling and Exploitation

Z

Interpretable Models of Individual and Social Behavior

Z

Network Models and Algorithms

Z

Large-Scale Graph Analysis

Z

Deep Learning and Graph Embeddings

Z

Centrality, Community Detection and Link Prediction

Z

Probabilistic, Temporal and Spatial Networks

Z

Multilayer Networks

We also welcome submissions from biological, ecological and financial networks to study collective and individual behaviors of new phenomena. 
Submission format

Submissions must represent new and original work. Concurrent submissions, that is, papers under review to other conferences or journals, are not allowed. However, submissions that are available online or have been previously presented orally or as posters with no formal proceedings, are allowed.

The Computer Science track accepts two types of submissions, regular papers and posters. During submission you will be asked to indicate your preference for one of these options.

Papers

Papers must be submitted in PDF in A4 or letter paper format using 11pt fonts, at least 1inch margins. Submissions should not exceed 12 pages including any diagrams or appendices, plus up to 3 additional pages of references.
Alternatively, authors can use the publisher’s style, available at: https://submission.dagstuhl.de/documentation/authors#oasics, following the aforementioned page limits.
The PDF files must have all non-standard fonts embedded. Submissions must be self-contained and in English. After uploading your submission, please verify the copy stored on the submission site properly. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review. Upon request of the authors, the paper can be considered for oral/poster presentation if not accepted for full paper publication in proceedings.

Posters

Posters must be submitted in PDF in A4 or letter paper format using 11pt fonts, at least 1inch margins. Submissions should not exceed 5 pages including any diagrams or appendices, plus up to 1 additional page of references.
Alternatively, authors can use the publisher’s style, available at: https://submission.dagstuhl.de/documentation/authors#oasics, following the aforementioned page limits.
The PDF files must have all non-standard fonts embedded. Submissions must be self-contained and in English.

Review Process

Each paper will be reviewed by at least three PC members. The acceptance decisions will take into account paper novelty, technical depth, elegance, practical or theoretical impact, and presentation.

Reproducibility

The algorithms, resources and methods used within a paper should be described as completely as possible. Authors may reference supplementary material, including detailed descriptions, test datasets or code. However, this information is not part of the submission proper, and will be read only at the discretion of the reviewers. Wherever appropriate, the authors are encouraged to use publicly available test collections and state-of-the-art baselines. Please consider sharing your intermediate/final experimental results and code with the research community.

Publication and Presentation
Proceedings will be published in Dagstuhl’s OASIcs series.
Program committee
Luca Maria Aiello
Nokia Bell Labs
Deepak Ajwani
University College Dublin
Aris Anagnostopoulos
Sapienza University of Rome (PC chair)
Michele Berlingerio
Eaton
Jeremy Blackburn
Binghamton University
Ilaria Bordino
UniCredit R&D
Yang Chen
Fudan University
Anirban Dasgupta
IIT Gandhinagar
Gianmarco De Francisci Morales
ISI Foundation
Damien Fay
Infor Retail
Emilio Ferrara
University of Southern California
Marco Fiore
IEIIT – CNR
Pierre Fraigniaud
CNRS
Sabrina Gaito
University of Milan
Francesco Gullo
UniCredit R&D
Roberto Interdonato
CIRAD – UMR TETIS
Márton Karsai
ENS de Lyon
Danai Koutra
University of Michigan
Haewoon Kwak
Qatar Computing Research Institute
Theodoros Lappas
Stevens Institute of Technology
Kristina Lerman
University of Southern California
Yong Li
Tsinghua University
David Liben-Nowell
Carleton College
Yu-Ru Lin
University of Pittsburgh
Nelly Litvak
University of Twente
Matteo Magnani
Uppsala University
Delfina Malandrino
University of Salerno
Giuseppe Mangioni
University of Catania
Madhav Marathe
University of Virginia
Michael Mathioudakis
University of Helsinki
Nikos Parotsidis
Google
Matjaz Perc
University of Maribor
Ali Pinar
Sandia National Laboratories
B. Aditya Prakash
Virginia Tech
Matteo Riondato
Amherst College
Polina Rozenshtein
Aalto University
Alessandra Sala
Bell Labs Ireland (PC chair)
Iraj Saniee
Bell Labs
Grant Schoenebeck
University of Michigan
Aneesh Sharma
Google
Mara Sorella
Sapienza University of Rome
Michael Szell
IT University of Copenhagen
Hanghang Tong
University of Illinois at Urbana-Champaign
Charalampos Tsourakakis
Harvard University
Johan Ugander
Stanford University
Sergei Vassilvitskii
Google
Ingmar Weber
Qatar Computing Research Institute
Gordon Wilfong
Nokia Bell Labs
Ben Zhao
University of Chicago