In the field of ecommerce, most recommendation algorithms are based on user-item bipartite
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …

Most of the existing influence maximization algorithms are not suitable for large‐scale social
networks due to their high time complexity or limited influence propagation range. Therefore …

Recommender System (RS) has generated widespread attention with the aim of expanding
different items. Among graph-based recommendation methods, the tripartite graph can …

The stock market is a real and continuously evolving extremely complex dynamic system.
This paper analyzes the change of stock market efficiency from the perspective of dynamic …

In order to reduce the energy consumption and the cost of wireless sensor networks (WSNs)
deployed in linear areas and prolong the life of the network, a deployment strategy of nodes …

Environmental e-commerce is a sustainability-oriented e-commerce model. To address the
problem of data sparsity and the lack of diversity in traditional e-commerce recommendation …

The essence of enterprise financial modeling is to use mathematical models to classify and
sort out all kinds of enterprise information according to the main line of value creation and on …

Along with the rapid improvement of the aviation industry, flight density also increases with
the increase of flight demand, which directly leads to the increasingly prominent influence of …

Vital nodes identification is an essential problem in network science. Various methods have
been proposed to solve this problem. In particular, based on the gravity model, a series of …

Building an information‐based rural economic supply chain is an effective way to implement
the rural revitalization strategy. The construction of China's agricultural product logistics …