Techniques and Tools for Designing an Online Social Network Platform

2013 ◽  
Author(s):  
Panagiotis Karampelas
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Network Platform

scholarly journals An Efficient & Secure Content Contribution and Retrieval content in Online Social Networks using Level-level Security Optimization & Content Visualization Algorithm

2018 ◽  
Vol 10 (2) ◽  
pp. 807
Author(s):  
Kumaran Umapathy ◽  
Neelu Khare
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Human Life ◽  
Online Social Network ◽  
Interactive Media ◽  
Video Data ◽  
Free Text ◽  
User Requirement ◽  
Network Platform

<span lang="EN-US">Online Social Networks (OSNs) is currently popular interactive media to establish the communication, share and disseminate a considerable amount of human life data. Daily and continuous communications imply the exchange of several types of content, including free text, image, audio, and video data. Security is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). However, there are no content-based preferences supported, and therefore it is not possible to prevent undesired messages. Providing the service is not only a matter of using previously defined web content mining and security techniques. To overcome the issues, Level-level Security Optimization &amp; Content Visualization Algorithm is proposed to avoid the privacy issues during content sharing and data visualization. It adopts level by level privacy based on user requirement in the social network. It evaluates the privacy compatibility in the online social network environment to avoid security complexities. The mechanism divided into three parts namely like online social network platform creation, social network privacy, social network within organizational privacy and network controlling and authentication. Based on the experimental evaluation, a proposed method improves the privacy retrieval accuracy (PRA) 9.13% and reduces content retrieval time (CRT) 7 milliseconds and information loss (IL) 5.33%.</span>

scholarly journals Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

2021 ◽  
Vol 9 (1) ◽  
pp. 33
Author(s):  
Felix Olutokunbo Idepefo ◽  
Bernard Ijesunor Akhigbe ◽  
Ojo Stephen Aderibigbe ◽  
Babajide Samuel Afolabi
Keyword(s):  
Social Network ◽  
Data Privacy ◽  
Personal Information ◽  
Online Social Network ◽  
Ensemble Methods ◽  
Byzantine Fault Tolerance ◽  
Sensitive Data ◽  
Online Data ◽  
Computational Overhead ◽  
Network Platform

<p><strong>Abstract - </strong>In 2014, the world woke up to a giant data breach that leveraged users’ personal information that was taken from one of the world’s biggest social network platform. Based on the literature, this was possible because of the Centralised Architectural-based Approach to protecting the privacy of users’ online data. Although the literature is inundated with decentralized approaches, there is none to the best of our knowledge that uses an ensemble of methods and draws on a consensus mechanism to address the challenges caused by the Centralised Architectural-based Approach. This paper presents a decentralized approach that adopts and adapts an ensemble of methods. These methods include cryptographic, hashing, and the plenum byzantine fault tolerance algorithms that present a consensus platform, protocol, and mechanism to use the technology of blockchain in a novel manner as a significant contribution. This paper adopts the descriptive approach in its presentation as the usable implementation of the presented proposal is near completion with issues of computational overhead addressed based on preliminary results that show promise of being able to support agreement up to ≈ 75% in terms of making changes by participants in the chain. <strong></strong></p>

E-WOM IN SOCIAL NETWORK PLATFORM SERVICE WITH SUSTAINABLE MARKETING ACTIVITIES

2016 ◽  
Author(s):  
Chang Suk Choi ◽  
Sang Jim Kim ◽  
Kyung Hoon Kim ◽  
Sang Cheol Jeong
Keyword(s):  
Social Network ◽  
Sustainable Marketing ◽  
Marketing Activities ◽  
Network Platform

Facebooking Alone? Millennials’ Use of Social Network Sites and Volunteering

2019 ◽  
Vol 49 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Young-joo Lee
Keyword(s):  
Cohort Study ◽  
Social Network ◽  
Civic Engagement ◽  
Online Social Network ◽  
Social Network Sites ◽  
Positive Association ◽  
Prosocial Behaviors ◽  
Network Site ◽  
Facebook Use ◽  
Mixed Messages

The younger generation’s widespread use of online social network sites has raised concerns and debates about social network sites’ influence on this generation’s civic engagement, whether these sites undermine or promote prosocial behaviors. This study empirically examines how millennials’ social network site usage relates to volunteering, using the 2013 data of the Minnesota Adolescent Community Cohort Study. The findings reveal a positive association between a moderate level of Facebook use and volunteering, although heavy users are not more likely to volunteer than nonusers. This bell-shaped relationship between Facebook use and volunteering contrasts with the direct correlation between participation in off-line associational activities and volunteering. Overall, the findings suggest that it is natural to get mixed messages about social network sites’ impacts on civic engagement, and these platforms can be useful tools for getting the word out and recruiting episodic volunteers.

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