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Toward rumor detection in social networks using multi-layer autoencoder neural network
In recent years, the issue of spreading rumors as a big challenge in social networks has attracted a lot of attention. The spread of rumors on social...
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Linking perspectives: a field experiment on the role of multi-layer networks in refugee information sharing
The social networks that interconnect groups of people are often “multi-layered”—comprised of a variety of relationships and interaction types....
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A new multi-wave continuous action-set cellular learning automata for link prediction problem in weighted multi-layer social networks
One of the main research areas in social network analysis (SNA) is link prediction (LP). Social networks can be shown as a graph, and LP algorithms...
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Predicting COVID-19 infections using multi-layer centrality measures in population-scale networks
Understanding the spread of SARS-CoV-2 has been one of the most pressing problems of the recent past. Network models present a potent approach to...
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A continuous-time diffusion model for inferring multi-layer diffusion networks
Inferring multilayer diffusion networks from observed cascades is both crucial and realistic. To infer multilayer diffusion networks, constructing...
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Multi-layer, multi-modal medical image intelligent fusion
Recently, deep learning has high popularity in the field of image processing due to its unique feature extraction property. This paper, proposes a...
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A comprehensive view of community detection approaches in multilayer social networks
Multilayer social networks are the main representative form for today’s social networks. In fact, the multiplicity of relations, the huge amount of...
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An effective keyword search co-occurrence multi-layer graph mining approach
A combination of tools and methods known as "graph mining" is used to evaluate real-world graphs, forecast the potential effects of a given graph’s...
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Social network alignment: a bi-layer graph attention neural networks based method
The task of social network alignment is to identify the user nodes which are active in multiple social networks simultaneously, thus the information...
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Suspicious behaviour detection in multilayer social networks using PF-KMA and SS-GAE techniques
Multilayer Social networks are an important part of human life to interact on different networks at the same time. Due to the openness of such...
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CECM: A cognitive emotional contagion model in social networks
Social networks have changed the way how people communicate with each other dramatically. The study on information dissemination in social networks...
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Systematic literature review on identifying influencers in social networks
Considering the ever-increasing size and complexity of social networks, develo** methods to extract meaningful knowledge and information from...
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Contribution to the Moroccan Darija sentiment analysis in social networks
With the rise of social media, there has been a growing interest in develo** automatic sentiment analysis and opinion mining tools for natural...
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Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks
The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of...
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HURI: Hybrid user risk identification in social networks
The massive adoption of social networks increased the need to analyze users’ data and interactions to detect and block the spread of propaganda and...
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Influence maximization in social networks: a survey of behaviour-aware methods
Social networks have become an increasingly common abstraction to capture the interactions of individual users in a number of everyday activities and...
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A self-attention model with contrastive learning for online group recommendation in event-based social networks
Recently, there has been a surge in the popularity of online groups on event-based social networks (EBSNs) like Meetup and Douban Event. These groups...
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Predicting Community Health Through Heterogeneous Social Networks
Social media has been utilized as a measurement tool of population health outcomes. Popular social media platforms are heterogeneous that allow users...
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Contents-Based Spam Detection on Social Networks Using RoBERTa Embedding and Stacked BLSTM
The use of social networks has become an integral part of our daily lives. Even though social networking sites offer many advantages, they also pose...
