Andrzej Pekalski networks of scientific interests with internal degrees of freedom through self-citation analysis

Old and recent theoretical works by Andrzej Pekalski (APE) are recalled as possible sources of interest for describing network formation and clustering in complex (scientific) communities, through self-organisation and percolation processes. Emphasis is placed on APE self-citation network over four decades. The method is that used for detecting scientists field mobility by focusing on author's self-citation, co-authorships and article topics networks as in [1,2]. It is shown that APE's self-citation patterns reveal important information on APE interest for research topics over time as well as APE engagement on different scientific topics and in different networks of collaboration. Its interesting complexity results from "degrees of freedom" and external fields leading to so called internal shock resistance. It is found that APE network of scientific interests belongs to independent clusters and occurs through rare or drastic events as in irreversible "preferential attachment processes", similar to those found in usual mechanics and thermodynamics phase transitions.Comment: 7 pages, 1 table, 44 references, submitted to Int J Mod Phys

Dynamics of Content Diversity within Issues, Across Platforms: A Pesticide Debate in the News and on Twitter

Diversity of represented viewpoints in media content is a vital aspect of democratic societies. Building on insights about content diversity between topics, this study assesses frame and actor diversity within an issue and across media platforms. We conducted a manual quantitative content analysis of frames and actors in Dutch Twitter posts (N = 2,224) and newspaper articles (N = 318) about the banned pesticide fipronil, and we compared categorical and relative diversity of frames and actors between platforms. The results revealed an overall higher diversity for newspaper articles compared with tweets. Most strikingly, the diversity dynamics were quite similar in newspaper content and Twitter messages, but this similarity vanished once we distinguished between diagnostic and prognostic actor and frame diversity, with news articles showing a greater focus on solutions. The proposed diversity measures help discern temporal stages within issues and contribute to our understanding of intraissue dynamics across media platforms