Mutual clustering coefficient-based suspicious-link detection approach for online social networks
Mudasir Ahmad Wani,Suraiya Jabin +1 more
Reads0
Chats0
TLDR
In this paper, a classification system based on mutual clustering coefficient and profile information of users has been presented to detect the suspicious links within the user communities, which can better aid in the mitigation of fake profiles from OSNs.About:
This article is published in Journal of King Saud University - Computer and Information Sciences.The article was published on 2018-10-26 and is currently open access. It has received 11 citations till now. The article focuses on the topics: Similarity (geometry) & Cluster analysis.read more
Citations
More filters
Journal ArticleDOI
GPOGC: Gaussian Pigeon-Oriented Graph Clustering Algorithm for Social Networks Cluster
TL;DR: A Gaussian pigeon-oriented graph clustering algorithm for social networks’ cluster that can effectively solve the “cold start” problem in the trust calculation process and has better cluster effect than other state-of-the-art social network’ clustering approaches.
Journal ArticleDOI
Multi-attribute identity resolution for online social network
TL;DR: The proposed solution extracts Twitter user profiles with various attributes, for instance, first name, last name, username, user id, tag line, location, language, profile URL and tweets, which would greatly assist viral marketing, terrorist screening, and social media trending.
Journal ArticleDOI
Hybrid Approach for Detecting Propagandistic Community and Core Node on Social Networks
TL;DR: In this paper , a Boundary-based Community Detection Approach (BCDA) was proposed to identify the core nodes in a propagandistic community that detects propagandist communities from social networks with the help of interior and boundary nodes.
Journal ArticleDOI
Privacy protection scheme for mobile social network
TL;DR: In this paper , an improved secure design was presented for mobile social network using ciphertext-policy attribute-based encryption (CP-ABE) and advanced encryption standard (AES) that will encrypt users data in an end-to-end manner.
Journal ArticleDOI
UCred: fusion of machine learning and deep learning methods for user credibility on social media
TL;DR: This paper proposes UCred (User Credibility) model to classify user accounts as fake or real, which gives 98.96% accuracy, notably higher than the state-of-the-art model.
References
More filters
Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Book
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
Journal ArticleDOI
Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida
TL;DR: The theoretical and practical issues encountered in conducting the matching operation and the results of that operation are discussed.
Journal ArticleDOI
A Survey of Text Similarity Approaches
Wael Hassan Gomaa,Aly A. Fahmy +1 more
TL;DR: This survey discusses the existing works on text similarity through partitioning them into three approaches; String-based, Corpus-based and Knowledge-based similarities, and samples of combination between these similarities are presented.
Book ChapterDOI
Cosine similarity metric learning for face verification
Hieu V. Nguyen,Li Bai +1 more
TL;DR: This paper proposes a new method, named the Cosine Similarity Metric Learning (CSML) for learning a distance metric for facial verification, which has achieved the highest accuracy in the literature.