Knowledge flows through various channels like verbal communications, books, documents, videos, audio, and images, playing a crucial role in the research community and the …

analyze flows of influence in a citation networks as an ascending flow. We propose an efficient dynamic algorithm for integration with modern graph databases, conducting our …

Jul 18, 2017 · We introduce our ascending flow in “Ascending flow in citation networks” section — modeled on the notion of flow of knowledge. We then discuss the parameters of this …

Knowledge flow is operationalized by citation flows among various research entities. In order to characterize the knowledge flow between disciplines, we use Dijkstra algorithm (Dijkstra, …

This paper studies the citation-based knowledge flows among research elements such as researcher, paper, publication venue and research topic. The knowledge flow networks have …

Jun 7, 2024 · By applying dynamic community detection to cumula-tive, time-evolving citation networks, we can identify research areas as groups of papers sharing knowledge sources and …

We develop here a quantitative framework to extract significant dependencies among scientific disciplines and turn them into a time-varying network whose nodes are the... ... We use …

We propose then to analyze flows of influence in a citation networks as an ascending flow. From this point on, we can take a finer look at the diffusion of knowledge through the lens of a …

Nov 30, 2016 · We propose then to analyze flows of influence in a citation networks as an ascending flow. We propose an efficient dynamic algorithm for integration with modern graph …

We propose then to analyze flows of influence in a citation networks as an ascending flow. We propose an efficient dynamic algorithm for integration with modern graph databases, …