IEEE CAOS 2020

Online Social Networks (OSNs) are a multidisciplinary research playground. On the one hand, they represent a challenging environment for researchers working in academia and industry to develop the next generation of networking platforms and their services. At the same time, the digital footprints that people leave behind through OSNs provide a unique source to investigate and understand (by exploiting BigData analytics) people's behavior, human relationships, and societal phenomena such as epidemics spreading, terrorist networks, the diffusion of opinions, the pulse of a city, the evolution of migrations, etc.

IEEE CAOS focuses on (i) understanding the behavior of OSN systems, and OSN users; (ii) designing OSN mechanisms, services and applications for the benefit of users, (iii) controlling the use, and possibly, misuse of OSN services; (iv) predicting the way information spreads in OSN and users acquire or lose importance and influence in their local and global communities.

CAOS aims to provide a reference forum targeted not only to the community of researcher working on networking technologies for OSN, but it aims at engaging a multidisciplinary community of researchers working at the intersection between computer networking, complex networks, Big Data analytics, focusing on network technologies and abstractions for OSN. Therefore, the workshop also welcomes submissions applying a wide range of (computer- and network-science) techniques and tools to OSN for investigating the properties and roles of the network of (online) social relationships in the various sectors of the society (e.g., politics, economics, finance, health, entertainment).

Topics include, but are not limited to:

- Communications challenges in OSNs;

- Platforms, protocols, and applications for OSNs;

- Decentralized, mobile, and location-based OSNs;

- Trust, reputation, privacy, and security in OSNs;

- Adversarial-aware analysis of OSN data;

- Dynamics of trends, information and opinion diffusion in OSNs;

- Recommendations and advertising in OSNs;

- Social Search in OSNs;

- Measurement, analysis, and modeling of popular online social networks;

- BigData analysis of OSNs seen as complex networked systems;

- Information extraction and search in OSNs;

- Complex-network analysis of OSNs;

- Measurement, analysis, and modeling of networked users' behavior through OSNs data;

- Analysis of the use of OSNs in the urban context;

- Network challenges of crowdsourcing in OSNs;

- Network challenges in multidisciplinary applications of OSNs (economics, medicine, society, politics, homeland security, etc.);

- AI technologies applied to OSNs modeling and analysis.

## PAPER FORMAT AND SUBMISSION INSTRUCTIONS

Papers must be submitted electronically as PDF files, formatted for 8.5x11-inch paper. The length of the paper must be no more than 6 pages in the IEEE double-column format (10-pt font), including references and everything. Papers should neither have been published elsewhere nor being currently under review by another conference or journal. The reviews will be single blind. At least one of the authors of every accepted paper must register and present the paper at the workshop. Accepted papers will be published in the combined INFOCOM 2020 Workshop proceedings and will be submitted to IEEE Xplore.

## EDITORIAL FOLLOW-UPS

Extended versions of workshop selected papers will be considered for possible fast-track publication on the Online Social Networks and Media Journal (Elsevier).

## IMPORTANT DATES

- Submission Deadline:      15 January  2020

- Acceptance Notification:  15 February 2020

- Camera Ready Due:          6 March    2020

## WORKSHOP STEERING COMMITTEE CO-CHAIRS

Marco Conti (IIT-CNR, Italy)

Andrea Passarella (IIT-CNR, Italy)

## WORKSHOP CO-CHAIRS

Chiara Boldrini (IIT-CNR, Italy)

Fabrizio Silvestri (Facebook, UK)

Xing Xie (Microsoft Research Asia, China)

## PUBLICITY CO-CHAIRS

Hao Liao (Shenzhen University, China)

Mustafa Toprak (IIT-CNR, Italy)

## TECHNICAL PROGRAM COMMITTEE (tentative)

- Tarek Abdelzaher, University of Illinois, Urbana Champaign, USA

- Luca Aiello, Bell Labs, Cambridge, UK

- Nino Antulov-Fantulin, ETH, Switzerland

- Mauro Conti, University of Padua, Italy

- Jon Crowcroft, University of Cambridge, United Kingdom

- Aristides Gionis, Aalto University, Finland

- Adriana Iamnitchi, University of South Florida, USA

- Huan Liu, Arizona State University, USA

- Giovanni Neglia, INRIA, France

- Nishanth R. Sastry, King's College London, UK

- Thorsten Strufe, TU Dresden, Germany

- Ananthram Swami, Army Research Lab., USA

- Gabriele Tolomei, Universit degli Studi di Padova, Italy

- Gareth Tyson, Queen Mary University, UK

- Panayiotis Tsaparas, University of Ioannina, Greece

- Wenye Wang, North Carolina State University, USA

- Junshan Zhang, Arizona State University, USA

- Zhi-Li Zhang, University of Minnesota, USA