Online Social Networks like Facebook, MySpace, Xing, etc. have become extremely popular. Yet they have some limitations that we want to overcome for a next generation of social networks: privacy concerns and requirements of Internet connectivity, both of which are due to web-based applications on a central site whose owner has access to all data. buy 100 instagram followers To overcome these limitations, we envision a paradigm shift from client-server to a peer-to-peer infrastructure coupled with encryption so that users keep control of their data and can use the social network also locally, without Internet access. This shift gives rise to many research questions intersecting networking, security, distributed systems and social network analysis, leading to a better understanding of how technology can support social interactions.Our project consists of several parts. One part is to build a peer-to-peer infrastructure that supports the most important features of online social networks in a distributed way. We have written a first prototype to test our ideas. Another part is concerned with encryption, key management, and access control in such a distributed setting. Extending the distributed nature of the system, we investigate how to integrate such peer-to-peer social networking with ubiquitous computing and delay-tolerant networks, to enable direct exchange of information between devices and to take into account local information.
The SOCIALNETS project explores how social networks can be exploited for the delivery and acquisition of content, including issues of security and trust. This covers both online social networks and opportunistic (mobile peer to peer) buy likes and followers on instagram wireless networks. The project has produced a number of important findings,Exposure of the underlying dynamics of human relationships, from an ego-centric (i.e., social) perspective as well as the physical processes for dissemination, including the dynamics of information within and between networks through processes such as rumours and biological spreading;• Exposure of the underlying dynamics of human relationships, from an ego-centric (i.e., social) perspective as well as the physical processes for dissemination, including the dynamics of information within and between networks through processes such as rumours and biological spreading,Development of an adaptive social structure to transport content for uni-cast and any-cast scenarios. This involves (i) community detection, development of protocols that allow data to travel through human social structures exploiting opportunistic networking technologies;
Behavioural based schemes for content management including social placement of content with human structures to achieve efficiency in for access social schemes for incentivising cooperative behaviour and reciprocity. instagram buy followers social mechanisms for intelligent pushing;An overarching scheme for social security using trust relationships within a decentralized (i.e., peer-based) architecture to cope with uncertain trust and cooperation. In this way trusted data storage services, privacy in data access and in data exchange, cooperation among peer nodes are all achieved.An overall architecture framework for organising the SOCIALNETS components through a social network layer, showing the different components and how these can combine to support each other,Determination of key future application scenarios and further understanding on how these might be exploited through the wireless market in future. Importantly, prospective application areas have been identified concerning social network blogging without the Internet, communication in developing regions and opportunistic computing.