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Discursive knowledge emerges as codification in flows of communication. The flows of communication are constrained and enabled by networks of communications as their historical manifestations at each moment of time. New publications modify…

Computers and Society · Computer Science 2009-11-09 Diana Lucio-Arias , Loet Leydesdorff

Organized knowledge production can then be considered as the codification of communication. Communications leave traces that can be studied as indicators. Institutions can be considered as retention mechanisms functional for the…

Computers and Society · Computer Science 2009-12-09 Loet Leydesdorff , Andrea Scharnhorst

Given that knowledge (intensive) work takes place immersed in truly heterogenous networks of knowledge representations (codified, narrative, embedded in routines, inscribed in artefacts), our analysis is geared towards how the…

Computers and Society · Computer Science 2018-03-21 Gunnar Ellingsen , Eric Monteiro

In addition to shaping social networks, for example, in terms of co-authorship relations, scientific communications induce and reproduce cognitive structures. Scientific literature is intellectually organized in terms of disciplines and…

Digital Libraries · Computer Science 2015-02-24 Loet Leydesdorff

A theory of citations should not consider cited and/or citing agents as its sole subject of study. One is able to study also the dynamics in the networks of communications. While communicating agents (e.g., authors, laboratories, journals)…

Digital Libraries · Computer Science 2010-01-26 Loet Leydesdorff , Peter Van den Besselaar

Both self-organization and organization are important for the further development of the sciences: the two dynamics condition and enable each other. Commercial and public considerations can interact and "interpenetrate" in historical…

Physics and Society · Physics 2015-05-30 Loet Leydesdorff

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

Socio-cognitive action reproduces and changes both social and cognitive structures. The analytical distinction between these dimensions of structure provides us with richer models of scientific development. In this study, I assume that (i)…

Digital Libraries · Computer Science 2015-06-16 Loet Leydesdorff

The construction of an ontology of scientific knowledge objects, presented here, is part of the development of an approach oriented towards the visualization of scientific knowledge. It is motivated by the fact that the concepts that are…

Artificial Intelligence · Computer Science 2021-07-15 Vincenzo Daponte , Gilles Falquet

The scientific literature is a rich source of information for data mining with conceptual knowledge graphs; the open science movement has enriched this literature with complementary source code that implements scientific models. To exploit…

Machine Learning · Computer Science 2019-08-27 Kun Cao , James Fairbanks

The speech code is a vehicle of language: it defines a set of forms used by a community to carry information. Such a code is necessary to support the linguistic interactions that allow humans to communicate. How then may a speech code be…

Machine Learning · Computer Science 2007-05-23 Pierre-Yves Oudeyer

Scientific information expresses human understanding of nature. This knowledge is largely disseminated in different forms of text, including scientific papers, news articles, and discourse among people on social media. While important for…

Computation and Language · Computer Science 2025-07-01 Dustin Wright

One of the most interesting scientific challenges nowadays deals with the analysis and the understanding of complex networks' dynamics. A major issue is the definition of new frameworks for the exploration of the dynamics at play in real…

Social and Information Networks · Computer Science 2010-12-21 Walter Quattrociocchi , Frederic Amblard

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

The competitive advantages in a knowledge-based economy can no longer be attributed to single nodes in the network. Political economies are increasingly reshaped by knowledge-based developments that upset market equilibria and institutional…

Computers and Society · Computer Science 2009-12-09 Loet Leydesdorff

Scientific discovery is shaped by scientists' choices and thus by their career patterns. The increasing knowledge required to work at the frontier of science makes it harder for an individual to embark on unexplored paths. Yet…

Physics and Society · Physics 2020-09-28 Giorgio Tripodi , Francesca Chiaromonte , Fabrizio Lillo

The relationship between the "knowledge base" and the "globalization" of communication systems is discussed from the perspective of communication theory. I argue that inter-human communication takes place at two levels. At the first level…

Computers and Society · Computer Science 2009-12-09 Loet Leydesdorff

We identify the "organization" of a human social group as the communication network(s) within that group. We then introduce three theoretical approaches to analyzing what determines the structures of human organizations. All three…

Social and Information Networks · Computer Science 2017-02-16 David Wolpert , Justin Grana , Brendan Tracey , Tim Kohler , Artemy Kolchinsky

Concepts in a certain domain of science are linked via intrinsic connections reflecting the structure of knowledge. To get a qualitative insight and a quantitative description of this structure, we perform empirical analysis and modeling of…

Digital Libraries · Computer Science 2021-08-10 Vasyl Palchykov , Mariana Krasnytska , Olesya Mryglod , Yurij Holovatch

Large knowledge graphs combine human knowledge garnered from projects ranging from academia and institutions to enterprises and crowdsourcing. Within such graphs, each relationship between two nodes represents a basic fact involving these…

Artificial Intelligence · Computer Science 2024-06-11 Loïck Lhote , Béatrice Markhoff , Arnaud Soulet
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