PROJECT TITLE :

Structure Based User Identification across Social Networks - 2018

ABSTRACT:

Identification of anonymous identical users of cross-platforms refers to the recognition of the accounts belonging to the same individual among multiple Social Network (SN) platforms. Evidently, cross-platform exploration might help solve several issues in social computing, in each theory and apply. But, it's still an intractable drawback thanks to the fragmentation, inconsistency, and disruption of the accessible info among SNs. Different from the efforts implemented on user profiles and users' content, many studies have noticed the accessibility and reliability of network structure in most of the SNs for addressing this issue. Although substantial achievements are made, most of this network structure-based mostly solutions, requiring previous knowledge of some given identified users, are supervised or semi-supervised. It is laborious to label the previous knowledge manually in some eventualities where previous data is hard to obtain. Noticing that friend relationships are reliable and consistent in several SNs, we proposed an unsupervised theme, termed Friend Relationship-based User Identification algorithm while not Previous data (FRUI-P). The FRUI-P initial extracts the friend feature of each user in an SN into friend feature vector, and then calculates the similarities of all the candidate identical users between 2 SNs. Finally, a 1-to-one map scheme is developed to identify the users based mostly on the similarities. Moreover, FRUI-P is proved to be economical theoretically. Results of extensive experiments demonstrated that FRUI-P performs a lot of better than current state-of-art network structure-based mostly algorithm while not prior data. Because of its high precision, FRUI-P can additionally be utilised to get prior data for supervised and semi-supervised schemes. In applications, the unsupervised anonymous identical user identification method accommodates a lot of situations where the seed users are unobtainable.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Analysis of the Features and Structure Behind Availability in Blockchain Using Altcoin ABSTRACT: Because of its behavior-dependent properties on the volunteers who maintain the distributed ledger in the network,
PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band
PROJECT TITLE : High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity ABSTRACT: In recent years, picture restoration has improved significantly thanks to techniques based on nonlocal
PROJECT TITLE :Multi-Attributed Graph Matching With Multi-Layer Graph Structure and Multi-Layer Random Walks - 2018ABSTRACT:This Project addresses the multi-attributed graph matching drawback, which considers multiple attributes
PROJECT TITLE :Estimation of Broadband Multiuser Millimeter Wave Massive MIMO-OFDM Channels by Exploiting Their Sparse Structure - 2018ABSTRACT:In millimeter wave (mm-wave) huge multiple-input multiple-output (MIMO) systems, acquiring

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry