Interdisciplinary topic reflects the knowledge exchange and integration between different
disciplines. Analyzing its evolutionary path is beneficial for interdisciplinary research in …

Predicting the development trend of future scientific research not only provides a reference
for researchers to understand the development of the discipline, but also provides support …

Understanding the evolutionary relationships among scientific topics and learning the
evolutionary process of innovations is a crucial issue for strategic decision makers in …

Science advances by pushing the boundaries of the adjacent possible. While the global
scientific enterprise grows at an exponential pace, at the mesoscopic level the exploration …

This paper presents ATEM, a novel framework for studying topic evolution in scientific
archives. ATEM employs dynamic topic modeling and dynamic graph embedding to explore …

The knowledge structure is the result of continuous evolution of the forces intertwined with
knowledge linkages and structural patterns. However, the dynamics along this path are still …

Background: Scientific discovery progresses by exploring new and uncharted territory. More
specifically, it advances by a process of transforming unknown unknowns first into known …

Computer science (CS) plays a crucial role in addressing challenges across various sectors,
including education, finance, and healthcare. Investigating scholars' topic switching …

The accurate forecasting of exceptional growth in research areas has been an extremely
difficult problem to solve. In a previous study we introduced an approach to forecasting …

Topic emergence detection aids in pinpointing prominent topics within a given domain,
providing practical insights into all interested parties on where to focus the limited resources …