641 research outputs found
Weighted Multiplex Networks
One of the most important challenges in network science is to quantify the
information encoded in complex network structures. Disentangling randomness
from organizational principles is even more demanding when networks have a
multiplex nature. Multiplex networks are multilayer systems of nodes that
can be linked in multiple interacting and co-evolving layers. In these
networks, relevant information might not be captured if the single layers were
analyzed separately. Here we demonstrate that such partial analysis of layers
fails to capture significant correlations between weights and topology of
complex multiplex networks. To this end, we study two weighted multiplex
co-authorship and citation networks involving the authors included in the
American Physical Society. We show that in these networks weights are strongly
correlated with multiplex structure, and provide empirical evidence in favor of
the advantage of studying weighted measures of multiplex networks, such as
multistrength and the inverse multiparticipation ratio. Finally, we introduce a
theoretical framework based on the entropy of multiplex ensembles to quantify
the information stored in multiplex networks that would remain undetected if
the single layers were analyzed in isolation.Comment: (22 pages, 10 figures
Examining the Research on Business Information-Entropy Correlation in the Accounting Process of Organizations
Open business organizations, where information flows, is shared, and exchanged, are more prepared to adapt and survive chaos, uncertainty, and entropy, so they will be more predisposed to change management. The aim of this study is to analyze research trends at the international level on business information–entropy correlation in the accounting process of organizations. Mathematical and statistical techniques were applied to 980 articles during the period 1974–2020, obtaining results on the scientific productivity of the driving agents of this topic: authors, research institutions, countries/territories, and journals. Five lines of research were identified during the period analyzed, which mainly study information theory, maximum entropy, information entropy, decision-making, and enthalpy. Future research should focus on analyzing the evolution of this topic, which forms new thematic axes related to bitcoin market efficiency, business hierarchy information, business model evaluation systems, catastrophic economic collapse, corporate diversification, CSR reports affecting accounting conservatism, economic income accounting, and information loss. Currently, the research presents an upward trend, which allows a growing interest in the subject to be deduced in the academic and scientific community worldwide
Identification of Emerging Scientific Topics in Bibliometric Databases
Bibliometrie, Maschinelles Lernen, LDA, Clustering, Neue Themen
Abstract = Frühzeitiges Erkennen von aufkommenden Themengebieten in der Wissenschaft unterstützt sowohl Entscheidungen auf individueller als auch öffentlicher Ebene. Viele bestehende Verfahren beschränken sich auf eine retrospektive (Zitations-)Analyse der Publikationsdaten. Das Ziel der vorliegenden Arbeit war deshalb die Entwicklung eines Verfahrens, das zeitnah und neutral sogenannte "emerging topic candidates" aus einem Set von wissenschaftlichen Publikationen auswählt
Identification of Emerging Scientific Topics in Bibliometric Databases
Bibliometrie, Maschinelles Lernen, LDA, Clustering, Neue Themen
Abstract = Frühzeitiges Erkennen von aufkommenden Themengebieten in der Wissenschaft unterstützt sowohl Entscheidungen auf individueller als auch öffentlicher Ebene. Viele bestehende Verfahren beschränken sich auf eine retrospektive (Zitations-)Analyse der Publikationsdaten. Das Ziel der vorliegenden Arbeit war deshalb die Entwicklung eines Verfahrens, das zeitnah und neutral sogenannte "emerging topic candidates" aus einem Set von wissenschaftlichen Publikationen auswählt
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