A Novel Hierarchical Group-Based Overlay Healthcare Network

2017 ◽  
Vol 8 (4) ◽  
pp. 81-102
Author(s):  
Foteini Andriopoulou ◽  
Konstantinos Birkos ◽  
Dimitrios Lymberopoulos
Keyword(s):  
Network Architecture ◽  
Response Times ◽  
Healthcare Services ◽  
Peer To Peer ◽  
Dynamic Features ◽  
Healthcare Network ◽  
The Social ◽  
Peer To Peer Networks ◽  
Secure Network ◽  
Structured Overlays

In the healthcare domain, there is a challenge on how to design a scalable, dynamic, robust and secure network for provisioning personalized healthcare services remotely with an efficient and accurate manner. In the present work, motivated by innovations in the networking domain and the benefits of clustering in the peer-to-peer networks as well as the group-based approach of the social networks, we propose a novel hierarchical peer-to-peer overlay healthcare network for communication and collaboration among healthcare professionals, paramedical staff and patients. The proposed network includes two types of hierarchy: the first type is used for regular requests and communication while the second type handles emergency requests. The network architecture is based on multiple and enhanced structured overlays that provide scalability, dynamic features, load-balancing and low response times with guaranteed information retrieval. Moreover, a novel and effective lookup mechanism supports complex queries with significantly lower response time and messaging overhead.

Partition Nodes: Topologically-Critical Nodes of Unstructured Peer-to-Peer Networks

2008 ◽  
Vol 19 (9) ◽  
pp. 2376-2388 ◽  
Author(s):  
Zhen-Hua LI ◽  
Gui-Hai CHEN ◽  
Tong-Qing QIU
Keyword(s):  
Peer To Peer ◽  
Peer Networks ◽  
Critical Nodes ◽  
Peer To Peer Networks

An Aware Ant Routing Algorithm in Mobile Peer-To-Peer Networks

2014 ◽  
Vol 36 (7) ◽  
pp. 1456-1464 ◽  
Author(s):  
Da-Peng QU ◽  
Xing-Wei WANG ◽  
Min HUANG
Keyword(s):  
Routing Algorithm ◽  
Peer To Peer ◽  
Peer Networks ◽  
Peer To Peer Networks

A Novel Super-Peer Based Trust Model for Peer-to-Peer Networks

2010 ◽  
Vol 33 (2) ◽  
pp. 345-355 ◽  
Author(s):  
Chun-Qi TIAN ◽  
Jian-Hui JIANG ◽  
Zhi-Guo HU ◽  
Feng LI
Keyword(s):  
Trust Model ◽  
Peer To Peer ◽  
Peer Networks ◽  
Peer To Peer Networks ◽  
Super Peer

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

Analysis of Support for Parents in Raising Children with Dyslexia

2020 ◽  
pp. 0192513X2094892
Author(s):  
Athira Amira Abd Rauf ◽  
Maizatul Akmar Ismail ◽  
Vimala Balakrishnan ◽  
Loh Sau Cheong ◽  
Novia Indriaty Admodisastro ◽  
...  
Keyword(s):  
Marital Status ◽  
Self Esteem ◽  
Peer To Peer ◽  
Government Support ◽  
Anova Analysis ◽  
Raising Children ◽  
The Social ◽  
Significant Difference ◽  
Different Types ◽  
One Way Anova

The parents of children with dyslexia often experience more parenting stress and depressive symptoms compared to other parents. Studies have shown that supporting and encouraging such parents help in reducing their frustrations, fear, anger, and low self-esteem towards their children. The purpose of this study was to identify and examine the different types of support needed by the parents of children with dyslexia and to explore the relationships between the required support with the parents’ marital status. Fifty questionnaires were distributed to the parents of children with dyslexia and analyzed. The findings showed that the type of support needed for parents of children with dyslexia could be grouped into social, peer-to-peer, financial, and government support. Furthermore, the analysis indicated that there were no significant differences between the social (p = 0.4014), peer-to-peer (p = 0.5020), and government (p = 0.7121) support with parents’ marital status. However, based on one-way ANOVA analysis, there was a significant difference found between the parents’ marital status and financial support (p = 0.0241). Accordingly, it is anticipated that the implication of this research could be used as a guide and a reference for supporting and encouraging parents of children with dyslexia and other learning disabilities.

Multiple description coded video streaming in peer-to-peer networks

2012 ◽  
Vol 27 (5) ◽  
pp. 412-429 ◽  
Author(s):  
Yuanyuan Xu ◽  
Ce Zhu ◽  
Wenjun Zeng ◽  
Xue Jun Li
Keyword(s):  
Video Streaming ◽  
Peer To Peer ◽  
Peer Networks ◽  
Multiple Description ◽  
Peer To Peer Networks
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