| Type of Material: | Thesis |
| Title: | An efficient design of trust aware link prediction method in online social networks |
| Researcher: | Goyal, Rajeev |
| Guide: | Upadhyay, Arvind K | Sharma, Sanjiv |
| Department: | Computer Science and Engineering |
| Publisher: | Amity University Madhya Pradesh |
| Place: | Gwalior |
| Year: | 2020 |
| Language: | English |
| Subject: | Computer Science | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Computer Science and Engineering, Amity University Madhya Pradesh, Gwalior; 2020 |
| Fulltext: | Shodhganga |
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| 005 | 2026-09-07 17:32:18 | |
| 008 | __ | 260907t2020||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_462768 |
| 040 | __ | |dIN-AhILN|aAMIT_474020 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aGoyal, Rajeev |
| 110 | __ | |aComputer Science and Engineering|0U-0604|dGwalior|bAmity University Madhya Pradesh|ein |
| 245 | __ | |aAn efficient design of trust aware link prediction method in online social networks |
| 260 | __ | |aGwalior|c2020|bAmity University Madhya Pradesh |
| 300 | __ | |cI-Xiii-170|dDVD |
| 502 | __ | |cComputer Science and Engineering, Amity University Madhya Pradesh, Gwalior|d2020|bPhD |
| 518 | __ | |oDate of Award|d2021 |
| 518 | __ | |d2014|oDate of Registration |
| 518 | __ | |oDate of Completion|d2020 |
| 520 | __ | |aSince the development of Web 3.0, Online Social Networks (OSNs) have now become an essential part of human life. OSNs have been used for several services and activities such as purchasing, communication, news, music, and communicating with the service provider to seek services. For all these services trust between the users in OSNs is one of the principal factors to take decisions. That is why designing a prediction model to seek the trust among two users who are not directly connected is required. The scope of the study is to provide an efficient and effective approach to predict trust in OSNs. The study is divided into three aspects. First, to study different aspects of the trust factors in OSNs and find an efficient way to extract the OSNs in an optimized way. OSNs are huge and several participants don t impact the trust between two specific users. A mechanism is required to extract the users that are important for the OSNs and the context in which these users are interacting with each other. Such inform |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 700 | __ | |aUpadhyay, Arvind K|eGuide |
| 700 | __ | |aSharma, Sanjiv|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/343139|yShodhganga |
| 905 | __ | |afromsg |
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