Trust Factor Organization for Trust Prediction in Online Social Network
Rajeev Goyal1, Arvind K. Upadhyay2, Sanjiv Sharma3, Pankaj Kumar Mishra4
1Rajeev Goyal, Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP), India.
2Arvind K. Upadhyay, Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP), India.
3Sanjiv Sharma, Department of Computer Science and Engineering, Madhav Institute of Technology and Science, Gwalior (MP), India.
4Pankaj Kumar Mishra, Department of Applied Physics, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 296-300 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5196058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Web 2.0 has provided huge opportunities to human kind that leads the development of social web networks and enables users to communicate and cooperate among each other. Also exchanging their knowledge and experience in an online social environment. In order to identify the trustworthy information source on the social web/network, it is vital to build a trust mechanism. Trust predictions used for the possible trust among the users in an online community. Trust Prediction is used to find trust in future between two users. For a trust prediction mechanism measuring existing trust with the feature that impact on the calculation is crucial. The following study analyses the features of trust to calculate trust for online social network. This increases communication among users and creates a denser trusted network then previous. The study also illustrates how different trust factor can be organize to improve the accuracy and efficiency of trust prediction in online social network.
Keyword: Link Prediction algorithm, Trust Prediction, Online Social Networks.
Scope of the Article: Networked-Driven Multicourse Chips.