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No more endless PDFs. Discover the core value of the latest top-tier research in one article.
Analyzing deviant behaviors on social media using cyber forensics-based methodologies
User Groups in Social Networks: An Experimental Study on YouTube
Web 2.0 Services for Identifying Communities of Practice through Social Networks
Deep Learning for Social Network Information Cascade Analysis: a surve
Terrorist or criminal social network analysis is helpful for intelligence and law enforcement force in investigation. However, individual agency usually has part of the complete terrorist or criminal social network and therefore some crucial knowledge is not able to be extracted. Sharing information between different agencies will make such social network analysis more effective; unfortunately, it may violate the privacy of some sensitive information. There is always a tradeoff between the degree of privacy and the degree of utility in information sharing. Several approaches have been proposed to resolve such dilemma in sharing data from different relational tables. There is not any work on sharing social networks from different sources and yet try to minimize the reduction on the degree of privacy. In this paper, we propose a subgraph generalization approach for information sharing and privacy protection of terrorist or criminal social networks. Our experiment shows that such approach is promising
7008_WishVast Building trust and social capital using cellphones.
Enhancing Topic Detection in Twitter Using the Crowdsourcing Process
Exploring Advertising Literacy Digital Paths: Comparison Between Gender Approaches Among Chilean Students
A low-cost IoT-based health monitoring platform enriched with social networking facilities
AVI-CH 2018: Advanced Visual Interfaces for Cultural Heritage
Towards Predictive Analytics in Mental Health Care
On the generation of stable communities of users for dynamic mobile ad hoc social networks
A neighborhood link sensitive dismantling method for social networks
Crowdsourcing: the state-of-the-art and the way forward
An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling
Uncertain Ontology-Aware Knowledge Graph Embeddings
Modeling the Co-evolution of Culture, Signs and Network Structure
Networks of Artificial Social Interactions
Design and Development of Applications on Smartphone of Connection to Social Media Via 3D
Gender Obfuscation through Face Morphing
Tour guides’ communication ecosystems: an inferential social network analysis approach
Tracking Communities in Dynamic Social Networks
Distributed Multi-authority Attribute-based Encryption Scheme for Friend Discovery in Mobile Social Networks
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
Introducing Children to Machine Learning Through Machine Teaching
A Self-Learning Information Diffusion Model for Smart Social Networks
Measuring Friendship Strength in Online Social Networks
Affective Story-Morphing: Manipulating Shelley’s Frankenstein under Program Control using Emotionally Intelligent Agents
Web Personalization Based on Artificial Psychology
A probability-based approach to modeling the risk of unauthorized propagation of information in on-line social networks