Potential of the dynamic approach to data analysis [PDF]
Explores the potential of a dynamic data analysis approach to study user behavior in social networks. Currently, information appears on social networks that allows differentiating user groups by their activity within the technical capabilities of a ...
Orlova Vera +3 more
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Dynamic Analysis of User-Role and Topic-Influence for Topic Propagation in Social Networks
Hot events spread quickly on social networks. Predicting event diffusion on social networks, also known as topic propagation, is an important task. The two important factors that affect topic propagation are users and topics, and both users’ roles
Jing Wang, Hui Zhao
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A Novel Approach for Neutrosophic Complete Graph and Neutrosophic Excellent Domination [PDF]
Social networks have a crucial role in forming contemporary society. The way they operate and reach allow them to have a large-scale impact on beliefs, behaviours, and trust.
Murugan Raji +3 more
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Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks [PDF]
Social networks existing among employees, customers or other types of users of various IT systems have become one of the research areas of growing importance. Data about people and their interactions that exist in social media, provides information about
Piotr Bródka +3 more
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Evolutionary Features for Dynamic Link Prediction in Social Networks
One of the inherent characteristics of dynamic networks is the evolutionary nature of their constituents (i.e., actors and links). As a time-evolving model, the link prediction mechanism in dynamic networks can successfully capture the underlying growth ...
Nazim Choudhury, Shahadat Uddin
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A model to predict communications in dynamic social networks
Background: social networks are dynamic due to continuous increases in their members, communications, and links, while these links may be lost. This study was conducted with the aim of investigating the link and communication between social network ...
Ahmad Ghadamkheir +2 more
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Influence Maximization Based on Snapshot Prediction in Dynamic Online Social Networks
With the vigorous development of the mobile Internet, online social networks have greatly changed the way of life of human beings. As an important branch of online social network research, influence maximization refers to finding K nodes in the network ...
Lin Zhang, Kan Li
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Robust Resilience Blocks Detection Problem in Dynamic Social Networks
Finding a stable community in dynamically developing networks is crucial. In this study, we introduce an innovative concept of resilience, originally rooted in infrastructure networks, and merge it with the distinctive features of k-core graphs to define
Yuxin Gao +3 more
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Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but also ...
Joakim Skarding +2 more
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Demonstration of dynamic targeting in an online social medium [PDF]
We will demonstrate new software for analysing social media networks, such as Twitter and Facebook, in real time to calculate influence ratings that identify influential individuals and assess sentiment within a conversation.
Amanda Otley +10 more
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