User Alignment across Dynamic Social Networks based on Heuristic Algorithm. Abstract: User alignment across social networks, whose main goal is to fuse user information in different network platforms, is a fundamental task in social network analysis.
To address this, we propose a dynamic social network alignment framework based on the heuristic algorithm. For the learning weights of newly added nodes ...
He et al. [20] proposed a heuristic algorithm based on the attention mechanism HDyNA, which obtained the local importance weight of new nodes in a single ...
Sep 28, 2023 · The Dynamic Social Network Alignment approach outperforms the current mainstream algorithm by 10% in this article's extensive series of trials ...
This paper proposes to learn a network embedding with the followership/ followee-ship of each user explicitly modeled as input/output context vector ...
Apr 3, 2023 · This problem aims to combine multiple social networks to analyze the relationships between nodes and construct a high-quality cross-social ...
This paper proposes an innovative approach for decision-makers, introducing a web application that employs a microservices architecture to analyze data gathered ...
An attention-based network embedding model that exploits the social structures for user alignment and an embedding algorithm tries to learn a common vector ...
In this section, we present a heuristic adaptive seeding strategy based on the greedy algorithm in Sec. 3. To reduce the time consumed in the seeding ...
Network alignment is a method to align nodes that belong to the same entity from different networks. A well-known application of network alignment is to map ...