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).
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.
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