Decentralized Online Social Networks

Datta, Anwitaman; Buchegger, Sonja; Vu, Le-Hung; Strufe, Thorsten; Rządca, Krzysztof

doi:10.1007/978-1-4419-7142-5_17

Cited by 133 publications

(104 citation statements)

References 33 publications

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“…An Online Social Network (OSN) is defined as web platform in which a person can create a profile, connect to other people, view and traverse network of connections within the system, share resources and information within the system, and use social applications with which people within the system can interact and collaborate with each other [5], [9]. With the growth of internet usage, OSNs first came into existence in the form of SixDegree.com (in 1997) which had basic OSN features [5].…”

Section: Online Social Networkmentioning

confidence: 99%

“…and sometimes as collaborative sharing networks (such as Skype), but have not been used as a medium for online social networking. The inherent nature of peer-to-peer connection between users in a social network makes OSN suitable for peer-to-peer architecture [9]. In file sharing P2P systems like Gnutella, most of the users are free riders [1].…”

Section: Decentralizing Online Social Networkmentioning

confidence: 99%

“…The propagation of social data or updates among users in the OSN should be managed so that there is less duplication and no latency. These and other challenges have been discussed in detail in [9]. Some P2P systems have exploited properties of social networks (like trust, collaboration) in other to improve the performance of P2P networks.…”

Section: Decentralizing Online Social Networkmentioning

confidence: 99%

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Selective Propagation of Social Data in Decentralized Online Social Network

Tandukar

Vassileva

2012

Lecture Notes in Computer Science

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Abstract. In Online Social Networks (OSNs) users are overwhelmed with huge amount of social data, most of which are irrelevant to their interest. Due to the fact that most current OSNs are centralized, people are forced to share their data with the site, in order to be able to share it with their friends, and thus they lose control over it. Decentralized OSNs provide an alternative which allows users to maintain control over their data. This paper discusses an approach for propagation of social data in a decentralized OSN so as to reduce irrelevant data among users. The approach uses interaction between users to construct relationship model of interest. This relationship model acts as a filter later while propagating social data of the same interest group. This paper also presents a plan of a simulation to analyze our approach.

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Section: Online Social Networkmentioning

confidence: 99%

Section: Decentralizing Online Social Networkmentioning

confidence: 99%

Section: Decentralizing Online Social Networkmentioning

confidence: 99%

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Selective Propagation of Social Data in Decentralized Online Social Network

Tandukar

Vassileva

2012

Lecture Notes in Computer Science

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“…While some SNSs such as Facebook, VK, Twitter are focused on selfpresentation, others such as LinkedIn and ResearchGate are focused on self-promotion [2]. There are also less common variations of SNSs known as decentralised SNSs [3] [4]. Their characteristic is the qualitative difference in the audience [5]: users of professional social networking sites (PSNS) are mostly middle-aged people who are interested in building a network of professional relations.…”

Section: Introductionmentioning

confidence: 99%

Scalable Service for Predictive Learning based on the Professional Social Networking Sites

Nikulchev¹,

Ilin²,

Bubnov³

et al. 2017

ijacsa

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Abstract-Professional social networking sites are widely used as a tool for obtaining specific information such as technology trends and professional skills demand. The article is aimed to consider the evolution of services for professional communities through integration of analysis of the patent activity, analysis of the academic research activity and analysis of the labour market trends. Authors have developed the prototype of a predictive learning software service which intended to fill the gap between professional social networking sites and e-learning systems, including massive open online course systems. It includes functionality for monitoring of professional skills demand on the labour market and analysis of patents for each corresponding technology. The software service will help to determine demand for professional skills, to actualise an applicant's skillset, to organise professional communities and to build individual learning programs for studying of skills and technologies which are predicted to grow in demand on the labour market.

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“…The main objectives behind decentralization are to preserve users privacy in both shared content and communication, and also to provide complete freedom from any form of censorship or profiling. DOSNs operate as distributed information management platforms on top of networks of trusted servers or P2P infrastructures [Datta et al, 2010]. Thus, DOSNs provide a privacy preserving alternative to current OSNs, where users have full control of their data.…”

Section: Introductionmentioning

confidence: 99%

CADIVa: cooperative and adaptive decentralized identity validation model for social networks

Soliman

Bahri

Girdzijauskas

et al. 2016

Soc. Netw. Anal. Min.

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Online Social Networks (OSNs) have successfully changed the way people interact. Online interactions among people span geographical boundaries and interweave with different human-life activities. However, current OSNs identification schemes lack guarantees on quantifying the trustworthiness of online identities of users joining them. Therefore, driven from the need to empower users with an identity validation scheme, we introduce a novel model, Cooperative and Adaptive Decentralized Identity Validation CADIVa, that allows OSN users to assign trust levels to whomever they interact with. CADIVa exploits association rule mining approach to extract the identity correlations among profile attributes in every individual community in a social network. CADIVa is a fully decentralized and adaptive model that exploits fully decentralized learning and cooperative approaches not only to preserve users privacy, but also to increase the system reliability and to make it resilient to mono-failure. CADIVa follows the ensemble learning paradigm to preserve users privacy and employs gossip protocols to achieve efficient and low-overhead communication. We provide two different implementation scenarios of CADIVa. Results confirm CADIVa's ability to provide finegrained community-aware identity validation with average improvement up to 36% and 50% compared to the semi-centralized or global approaches, respectively.

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Decentralized Online Social Networks

Cited by 133 publications

References 33 publications

Selective Propagation of Social Data in Decentralized Online Social Network

Selective Propagation of Social Data in Decentralized Online Social Network

Scalable Service for Predictive Learning based on the Professional Social Networking Sites

CADIVa: cooperative and adaptive decentralized identity validation model for social networks

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