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Related papers: Scientific X-ray

200 papers

There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties…

The combination of diverse, pre-existing knowledge is a common explanation for scientific breakthroughs. However, a paradox exists: while scientific output and the potential for such recombination have grown exponentially, the rate of…

Digital Libraries · Computer Science 2025-11-18 Linzhuo Li , Yiling Lin , Lingfei Wu

Can self-organization of scientific communication be specified by using literature-based indicators? In this study, we explore this question by applying entropy measures to typical "Mode-2" fields of knowledge production. We hypothesized…

Information Retrieval · Computer Science 2010-01-11 Gaston Heimeriks , Loet Leydesdorff , Peter Van den Besselaar

How does scientific knowledge grow? This question has occupied a central place in the philosophy of science, stimulating heated debates, but yielding no clear consensus. Many explanations can be understood in terms of whether and how they…

Social and Information Networks · Computer Science 2024-11-05 Kara Kedrick , Ekaterina Levitskaya , Russell J. Funk

Considering the difficulty of interpreting generative model output, there is significant current research focused on determining meaningful evaluation metrics. Several recent approaches utilize "precision" and "recall," borrowed from the…

Machine Learning · Computer Science 2025-02-28 Alexis Fox , Samarth Swarup , Abhijin Adiga

In the 21st century, many of the crucial scientific and technical issues facing humanity can be understood as problems associated with understanding, modelling, and ultimately controlling complex systems: systems comprised of a large number…

Information Theory · Computer Science 2025-01-20 Thomas F. Varley

Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scientific information retrieval. Many machine learning methods,…

Computation and Language · Computer Science 2025-11-10 Pengjiang Li , Zaitian Wang , Xinhao Zhang , Ran Zhang , Lu Jiang , Pengfei Wang , Yuanchun Zhou

In this research, a new indicator of disciplinarity-multidisciplinarity is developed, discussed and applied. EBDI is based on the combination of the frequency distribution of subject categories of journals citing or cited by the analysis…

Digital Libraries · Computer Science 2013-03-07 J. Manana-Rodriguez

Identifying and predicting the factors that contribute to the success of interdisciplinary research is crucial for advancing scientific discovery. However, there is a lack of methods to quantify the integration of new ideas and…

Instrumentation and Methods for Astrophysics · Physics 2024-06-18 Zechang Sun , Yuan-Sen Ting , Yaobo Liang , Nan Duan , Song Huang , Zheng Cai

Science is a growing system, exhibiting ~4% annual growth in publications and ~1.8% annual growth in the number of references per publication. Combined these trends correspond to a 12-year doubling period in the total supply of references,…

Digital Libraries · Computer Science 2019-12-17 Raj K. Pan , Alexander M. Petersen , Fabio Pammolli , Santo Fortunato

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 and exploitation of research ideas is reflected through the…

Physics and Society · Physics 2022-10-12 Chakresh Singh , Emma Barme , Robert Ward , Liubov Tupikina , Marc Santolini

Novel scientific knowledge is constantly produced by the scientific community. Understanding the level of novelty characterized by scientific literature is key for modeling scientific dynamics and analyzing the growth mechanisms of…

Digital Libraries · Computer Science 2018-01-30 Jiangen He , Chaomei Chen

The aim of this paper is to investigate various information-theoretic measures, including entropy, mutual information, and some systematic measures that based on mutual information, for a class of structured spiking neuronal network. In…

Neurons and Cognition · Quantitative Biology 2019-12-04 Wenjie Li , Yao Li

Entropy plays a key role in statistical physics of complex systems, which in general exhibit diverse aspects of emergence on different scales. However, it still remains not fully resolved how entropy varies with the coarse-graining level…

Statistical Mechanics · Physics 2017-08-07 Segun Goh , Jungzae Choi , MooYoung Choi , Byung-Gook Yoon

This paper aims to show how some popular topics on social networks can be used to predict online newspaper views, related to the topics. Newspapers site and many social networks, become a good source of data to analyse and explain complex…

The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific…

Physics and Society · Physics 2015-02-19 Jinhyuk Yun , Pan-Jun Kim , Hawoong Jeong

Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical decisions about research funding and technology adoption. In…

Digital Libraries · Computer Science 2021-06-25 Angelo Salatino , Andrea Mannocci , Francesco Osborne

Knowledge production is often viewed as an endogenous process in which discovery arises through the recombination of existing theories, findings, and concepts. Yet given the vast space of potential recombinations, not all are equally…

Computers and Society · Computer Science 2025-09-29 Kara Kedrick , Wenlong Yang , Thomas Gebhart , Yang Wang , Russell J. Funk

Researchers usually come up with new ideas only after thoroughly comprehending vast quantities of literature. The difficulty of this procedure is exacerbated by the fact that the number of academic publications is growing exponentially. In…

Computation and Language · Computer Science 2023-06-06 Yi Xu , Shuqian Sheng , Bo Xue , Luoyi Fu , Xinbing Wang , Chenghu Zhou

The exponential growth in scientific publications poses a severe challenge for human researchers. It forces attention to more narrow sub-fields, which makes it challenging to discover new impactful research ideas and collaborations outside…

Digital Libraries · Computer Science 2025-06-12 Xuemei Gu , Mario Krenn