Decentralized Social Media Applications as a Service: a Car-Sharing Perspective

Palanisamy, Anandhakumar; Sefidanoski, Mirsat; Koulouzis, Spiros; Rubia, Carlos; Saurabh, Nishant; Prodan, Radu

doi:10.1109/iscc50000.2020.9219617

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…In contrast, we propose a novel community evolution prediction that does not analyze individual users or their behavior but focuses on business-relevant interactions stored as transactional events. Our method is suitable for online social networks where user privacy or pseudonymity is a design requirement [14].…”

Section: Related Workmentioning

confidence: 99%

Context-aware Community Evolution Prediction in Online Social Networks

Lercher

Saurabh

Prodan

2022

2022 IEEE Intl Conf on Parallel &Amp; Distributed Processing With Applications, Big Data &Amp; Cloud Computing, Sustainable Com

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Community evolution prediction enables businessdriven social networks to detect customer groups modeled as communities based on similar interests by splitting them into temporal segments and utilizing ML classification to predict their structural changes. Unfortunately, existing methods overlook business contexts and focus on analyzing customer activities, raising privacy concerns. This paper proposes a novel method for community evolution prediction that applies a context-aware approach to identify future changes in community structures through three complementary features. Firstly, it models business events as transactions, splits them into explicit contexts, and detects contextualized communities for multiple time windows. Secondly, it uses novel structural metrics representing temporal features of contextualized communities. Thirdly, it uses extracted features to train ML classifiers and predict the community evolution in the same context and other dependent contexts. Experimental results on two real-world data sets reveal that traditional ML classifiers using the context-aware approach can predict community evolution with up to three times higher accuracy, precision, recall, and F1-score than other baseline classification methods (i.e., majority class, persistence).

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Section: Related Workmentioning

confidence: 99%

Context-aware Community Evolution Prediction in Online Social Networks

Lercher

Saurabh

Prodan

2022

2022 IEEE Intl Conf on Parallel &Amp; Distributed Processing With Applications, Big Data &Amp; Cloud Computing, Sustainable Com

Self Cite

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“…Newer approaches are proposed in [101][102][103][104], and [86]. The authors of [101] recommend an Ethereum-based ridesharing solution with a PoW consensus algorithm.…”

Section: Ridesharingmentioning

confidence: 99%

“…The authors of [104] propose an Ethereum-based approach and especially emphasize the benefits of smart contracts for automatically ensuring access control. The authors of [103] present an approach called ARTICONF. This solution is further elaborated in another publication by some of the authors [86].…”

Section: Ridesharingmentioning

confidence: 99%

“…ARTICONF, a project funded by the European Horizon 2020 program, aims to develop a new development platform and ecosystem for social media [121]. References [103] and [86] investigate the ARTICONF approach for the use-case of a peer-to-peer, collaborative car-sharing application. The authors of [86] show that their solution enables car-sharing customers to interact in a secure way by simulating a use-case scenario.…”

Section: Ridesharingmentioning

confidence: 99%

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Blockchain for Smart Mobility—Literature Review and Future Research Agenda

2021

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Today’s cities face numerous challenges due to climate change and urbanization. The concept of a smart city aims to help cities to address these challenges by adapting modern information and communication technology. Smart mobility and transportation form one important aspect of smart cities. Inefficient mobility in cities can lead to problems such as traffic congestion, which results in frustration for residents and a decrease in the quality of life. Against the backdrop of global warming, cities also strive to reduce CO2 emissions, an attempt which requires sustainable and novel mobility concepts. Blockchain is a current technology, said to have huge potential, that is being investigated for application in many facets of smart cities. In the context of smart mobility, blockchain can be used for transactions relating to ridesharing and electric charging, handling of interactions of platoon members, or serving as a foundation for communication between vehicles. Although initial research about this topic exists, it is distributed among different use-cases and applications. This article conducts a systematic literature review to analyze blockchain’s role in mobility and transportation in smart cities, and its potential to increase efficiency in these areas. With this review, we aim to consolidate and summarize the current knowledge about this topic. As a first result, we present the findings from our literature review, which can be divided into five categories of use-cases. We also present a platform for further research about this emerging topic by identifying promising future research avenues. For this purpose, we derive a future research agenda based on our findings.

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“…Anandhakumar Palanisamy et. al [11] said that the next gen-eration of connection depends on social media apps. Social media networks nowadays are concentrated, with a single private company managing the serious concerns with control and trust over the pro-duced and disseminated material on the network.…”

Section: Introductionmentioning

confidence: 99%

A Literature Review of Block Chain Application in Social Media

Mishra¹,

Pereira²,

Pola³

et al. 2023

IJRASET

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The importance of online social networks (OSNs) in people’s daily lives is growing, however all widely used OSNs are centralised, which brings up a number of management, security, and privacy concerns. The potential to address the aforementioned problems is provided by a architecture technology which is known as blockchain. In the below work, an Online Social Network based on block-chain is created and its decentralised operation is demonstrated. To decentralise data, a large volume of typically low-security requirements can be stored in the Interplanetary Filesystem (IPFS). Users may self-manage the OSN in a democratic manner thanks to a decentralised autonomous organisation that has been built for user autonomy

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Decentralized Social Media Applications as a Service: a Car-Sharing Perspective

Cited by 6 publications

References 11 publications

Context-aware Community Evolution Prediction in Online Social Networks

Context-aware Community Evolution Prediction in Online Social Networks

Blockchain for Smart Mobility—Literature Review and Future Research Agenda

A Literature Review of Block Chain Application in Social Media

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