A Novel Trust Model for Activity Social Network Based on PeerTrust

2016 ◽  
Author(s):  
Limei Xu ◽  
Yining Ma ◽  
Kai Lei
Keyword(s):  
Social Network ◽  
Trust Model

scholarly journals Building a Trust Model for Social Network

2018 ◽  
Vol 12 (4) ◽  
pp. 69 ◽  
Author(s):  
Osama Rababah ◽  
Bassam Alqudah
Keyword(s):  
Social Network ◽  
Security Policy ◽  
Major Change ◽  
Trust Model ◽  
Ease Of Use ◽  
The Internet ◽  
Affecting Factors ◽  
Network Characteristics ◽  
The Social ◽  
Student Trust

The revolution in information technology and the use of the internet changed the lifestyle of people. A major change was in the way of shopping. Companies started to offer their products online using social network s and people started to buy from the internet. Using social network has many benefits to the users starting from exploring a large variety of products to the very first way of ordering and the availability of the products 24 hours a day. One of the main problems that is found in using a social network is trusting the using social network social network s. the student concern about trusting to buy from the using social network social network s. Trust is a major concern for the merchant too; his concern is how to gain the student trust and to keep it. Many factors play a major role in acquiring the student trust in the online market. These factors rely on the social network characteristics such as design, interactivity and age and other factors vary from the social network quality, service quality, security policy of the social network, the privacy policy, the guarantee offered, the satisfaction of the user, the ease of use, the risk aversion and the culture factors. This study introduces the trusting affecting factors mentioned above and their effect on the trustworthiness factors (ability, benevolence, and integrity) a trust model has been built to show the relation between these factors and the trustworthiness factors.

Semantic Provenance Based Trustworthy Users Classification on Book-Based Social Network using Fuzzy Decision Tree

2020 ◽  
Vol 28 (01) ◽  
pp. 47-77
Author(s):  
Dhanalakshmi Teekaraman ◽  
S. Sendhilkumar ◽  
G. S. Mahalakshmi
Keyword(s):  
Social Network ◽  
Decision Tree ◽  
Trust Model ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Time Data ◽  
User Classification ◽  
Proposed Model ◽  
Ontological Model ◽  
Tree Approach

As web-based social network allows anyone to post the content without any restriction, the trustworthiness of the content creator plays an important role before using the content. An effiective way to find the trustworthiness is, by analyzing the web resources related to the content creator. Therefore the trustworthiness is assessed using the provenance based ontological model called W7 model. Since it is a real time data, the computed trust for each reviewer using the ontological model is uncertain and vague. An appropriate way to classify such data is using the fuzzy logic with gradual trust level. As the computed trust data are feature-based and non-symbolic, the classification ambiguity need to be reduced greatly. This is achieved with the fuzzy decision tree approach, which is a fusion of fuzzy sets with decision tree. The truth of the rule is crucial in trustworthy user classification, as highly truthful rules really increase the credibility of the user in their domain. Therefore, in the proposed model, degree of truth is used as a pruning criteria that classifies the users with minimum number of fuzzy evidence or knowledge. This paper proposes a semantic provenance based gradual trust model to classify the trustworthy reviewers in a book-based social networks using fuzzy decision tree approach. Performance analysis of the proposed model in the terms of classifier accuracy, precision, recall, the number of rules generated and its time complexity are discussed. The analysis shows that the proposed learning model outperforms other classification models. This method is also applied to other data sets and the performance of the classifier is assessed.

scholarly journals Trust model for social network using singular value decomposition

2016 ◽  
Vol 14 (3) ◽  
pp. 296-302 ◽  
Author(s):  
Davis Bundi Ntwiga ◽  
Patrick Weke ◽  
Michael Kiura Kirumbu
Keyword(s):  
Social Network ◽  
Singular Value Decomposition ◽  
Trust Model ◽  
Singular Value ◽  
Value Decomposition

scholarly journals Multi-Facet Trust Model for Online Social Network Environment

2015 ◽  
Vol 7 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Liu Ban Chieng ◽  
Manmeet Mahinderjit Singh ◽  
Zarul Fitri Zaaba ◽  
Rohail Hassan
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Trust Model ◽  
Network Environment

scholarly journals A trust model for spreading gossip in social networks: a multi-type bootstrap percolation model

2020 ◽  
Vol 476 (2235) ◽  
pp. 20190826 ◽  
Author(s):  
Rinni Bhansali ◽  
Laura P. Schaposnik
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Trust Model ◽  
Percolation Model ◽  
Marketing Strategies ◽  
Bootstrap Percolation ◽  
Information Propagation ◽  
Fake News ◽  
Minimum Threshold ◽  
Bp Model

We introduce here a multi-type bootstrap percolation model, which we call T -Bootstrap Percolation ( T -BP), and apply it to study information propagation in social networks. In this model, a social network is represented by a graph G whose vertices have different labels corresponding to the type of role the person plays in the network (e.g. a student, an educator etc.). Once an initial set of vertices of G is randomly selected to be carrying a gossip (e.g. to be infected), the gossip propagates to a new vertex provided it is transmitted by a minimum threshold of vertices with different labels. By considering random graphs, which have been shown to closely represent social networks, we study different properties of the T -BP model through numerical simulations, and describe its implications when applied to rumour spread, fake news and marketing strategies.

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