People use smart transportation systems to move around in smart cities, producing a
massive amount of valuable mobility data. Although this characteristic enables the …

The behaviour of individual users in an online social network is a major contributing factor in
determining the outcome of multiple network phenomenon. Group formation, growth of the …

Compared to traditional financial assets, cryptocurrencies exhibit higher volatility and
uncertainty, with price fluctuations that are more difficult to predict. This heightened …

To sustain market stability, it is crucial to research the impact of risk resonance across
industries. In this paper, we demonstrate the dynamic risk resonance between various …

Abstract Information propagation analysis in Online Social Networks (OSNs) sparks great
interest due to its impact across different business sectors. In the wide range of OSNs, the …

Social network analysis is a powerful tool for understanding various phenomena, but it
requires data with explicit connections among users. However, such data is hard to obtain in …

For artificial intelligence information systems, it is essential to make trade-offs for the
requests that arrive in large quantities rapidly. To alleviate server congestion and enhance …

Social media data are often modeled as heterogeneous graphs with multiple types of nodes
and edges. We present a discovery algorithm that first chooses a" background" graph based …