Analyzing the relevance of scientific papers in citation networks[go to overview]
The concept of relevance was proposed to model different temporal effects in networks (e.g. "aging effect", i.e. how the interest of nodes decay over time), where the traditional preferential attachment (PA) model fails to explain. We analyze the citation data provided by American Physical Society (APS). We group papers by their final in-degrees (# of papers citing them), and do not observe an obvious decline of citations for the most cited papers (indegree>1000). This might be due to the fact that the size of the network (total # of papers) grows exponentially, which compensates the decay of papers' relevance. For the next step, we want to analyze different citation networks (ACM, DBLP).
08.06.17 - 10:15