The Hyperscape project (2): Participative Game Informational Construction

This paper develops Hyperscape participative game theoretical and methodological assumptions. As an hyper-structural ambient-dimensioned interaction system, Hyperscape constitutes a systemic way for territorial acknowledgement. An illustration of this principle presents a sound multisource analysis of soundscape from Malakoff, a district in Nantes, with using the sound athmosphere generator. Manipulation of this hypertool should provide information to evaluate sound interaction through Zipf law entropy dimensioning.Cet article présente les bases théoriques et méthodologiques du jeu participatif Hyperscape. Ce système de dimensionnement des interactions ambiantales vise une prise de connaissance territoriale par une méthode issue de la systémique. Pour illustrer ce principe, nous présentons une analyse multisource du paysage sonore de Malakoff (Nantes, France) en utilisant le générateur d'ambiances. Cet outil nous fournira les informations pour l'évaluation des interactions sonores par le dimensionnement de leur entropie via la loi de Zipf

Urban Soundmarks Psychophysical Geodimensioning: Towards Ambient Pointers Geosystemic computation

International audienceThrough interaction with environmental parameters such as light or sound, urban and architectural spaces generate ambiences with identifiable characteristics. This notion of ambiences is related to the human being position through its perception of environmental physical phenomenon during a pedestrian walk. Presented work aims to evaluate, so as to characterize, the impact of sound ambiences (soundscape) onto an urban pedestrian pathway using GIS spatial dynam-ical mapping. To carry out this scheme, our research work within AMBIOFLUX project concerns spatial interaction between sound ambience (soundscape) and man urban spatial trajectory (soundwalk). Spatial impression of sound-sources or soundmarks has to be both defined through acoustical measurement and perception informational evaluation. The remainder of this paper is dedicated to the evaluation's methodology of the pedestrian pathway's acoustic fingerprint using the GearScape spatial formalism described thereafter. Preliminary results we have obtained will also be presented and validated

Producción científica en educación relacionada con la legislación y la administración: un análisis cienciométrico

Contenido de la investigación: El objetivo general de esta investigación fue analizar la producción sobre legislación y educación en la categoría " Business, Management and Accounting" a través de un estudio cienciométrico de las publicaciones indexadas en la base de datos de SCOPUS. Las hipótesis fueron que los artículos de investigación en legislación y educación en la categoría Negocios, Gestión y Contabilidad en las revistas indexadas en SCOPUS en el período de estudio verifican las principales leyes cienciométricas: Lotka y Bradford y que la colaboración entre autores en esta producción científica es principalmente de carácter local o nacional. El objetivo general fue desglosado en 6 objetivos específicos: El primer objetivo fue conocer el desarrollo diacrónico de la producción científica en educación relacionada con la legislación e indexada en SCOPUS (Business, Management and Accounting). Toda la producción se encontró en el período entre 1970 y 2019, mientras que ha habido un aumento gradual en el volumen de producción hasta el año 2002, alcanzando el pico máximo en 2002, pero desde entonces, ha habido una disminución. Además, no hubo un patrón de crecimiento continuo, sino que se evidencian diversas fluctuaciones. Al principio del periodo estudiado, no se encontró producción durante cuatro años seguidos y entre 1999 y 2000 se ha producido un descenso de la producción, con una Tasa de Variación Interanual (TVI) negativa igual a -47, y en 2008, con una Tasa de Variación Interanual (TVI) negativa igual a -45, mientras que la TVI positiva más alta (sin tener en cuenta el incremento de 1975, ya que hubo 4 años sin producción) se alcanzó en 2001 con un valor de 207. En general, se ha pasado de producir 36 documentos en 1975 a 1052 en 2020; es decir, se trata de un incremento porcentual del 4072%. La media de documentos publicados es de 711 al año. En cuanto a la tasa anual de cambio, la tasa más alta se ha identificado en 1975, seguida de 1978. Comparando nuestro resultado con los resultados de Lopera-Pérez et al (2021), quienes realizaron un análisis bibliométrico de la producción científica internacional sobre Educación Ambiental en la Web of Science (WoS) dentro de las categorías Educación e Investigación Educativa y Educación, Disciplinas Científicas para las últimas dos décadas (2000-2019). Sus resultados mostraron el acelerado incremento de la producción de conocimiento en esta área, y presentan los principales contextos de investigación, así como algunas perspectivas educativas y de investigación. Dichos resultados contrastan con los nuestros, ya que encontramos una disminución de la producción desde 2002. En la misma línea, Gantman y Fernández (2017) analizaron la producción de literatura académica en español sobre estudios de organización y gestión entre 2000 y 2010 indexada en el Catálogo Latindex. El segundo objetivo consistió en describir e identificar las diferentes relaciones de redes de conocimiento que se generan. Se encontró que existe una colaboración relativamente baja (1,7) en la autoría en esta área, pero esta situación ha ido cambiando con los años. La colaboración entre autores y universidades fue identificada por Lopera-Pérez et al (2021), lo cual coincide con nuestros resultados, ya que se encontró que la colaboración comenzó a despegar y su incremento es notorio a partir del año 2008. El tercer objetivo consistió en visualizar las redes de colaboración nacionales e internacionales, tanto a nivel de autoría como a nivel institucional, e identificar patrones de colaboración. Este objetivo se responde en el apartado 6.1.6, donde se ha constatado que la mayoría han sido de autoría única, y los firmados por dos o tres autores representan un tercio del total. El patrón de autoría ha sufrido cambios en el periodo, pasando de un inicio en 1975 con predominancia en la publicación de documentos con autoría única frente a los de autoría múltiple hasta invertir la relación en 2019. El cuarto objetivo consistió en identificar los patrones de citación y colaboración. El análisis de las citas en las revistas analizadas indicó que el 39,7% de la producción no había recibido ninguna cita. Del total de documentos citados, el 12,6% sólo han sido citados una vez, y el 8,3% dos veces. El artículo más citado tiene 855 citas. Además, en cuanto a los años en los que se han realizado estas citas, el mayor porcentaje fue en 2003 con 944 citas, seguido de 2007 con 905 citas. En cuanto a los patrones de colaboración, al analizar en detalle el número de autores, se encontró que el 58,21% fueron de autoría única, y los firmados por dos o tres autores representaron el 34,37% del total. La media anual de los documentos sin colaboración resultó estar por encima de la media, lo que podría inducir que hay casi igualdad entre los documentos sin colaboración y los que sí la tienen. Sin embargo, este valor se debe en gran medida a los primeros años dentro del rango de estudio. La colaboración comenzó a despuntar y su aumento es notable a partir del año 2008. Por último, se determinaron los valores de los tres indicadores de colaboración más frecuentes en la literatura. Así, el grado de colaboración en el periodo es DC =0,66. El valor mínimo se produjo en 2002 y el máximo en 1970. Este valor fue casi similar al obtenido por las revistas de educación publicadas en Brasil (0,636) (Madrid, et al, 2017) y cercano al encontrado para el GD (0,75) en las publicaciones científicas colombianas en SciELO (Maz-Machado, Jiménez-Fanjul y Villarraga-Rico, 2016). Sin embargo, fue superior al encontrado para las categorías SSCI Demografía (0,605) y Estudios Urbanos (0,591) (Maz-Machado y Jiménez-Fanjul, 2018). El quinto objetivo consistió en establecer valores para los indicadores de la dimensión cuantitativa de la producción científica sobre el tema. A este objetivo se responde en el apartado 6.2.1 y 6.2.2. Se verificó la Ley de Bradford con las revistas que conforman el núcleo de Bradford siendo Chronicle of Higher Education y Journal of Management Education y estas dos acumulan 11526 documentos. Además, se verificó la ley de Lotka para el conjunto de autores que publicaron en las revistas objeto de estudio. El sexto y último objetivo fue identificar los temas abordados. Este objetivo se responde en el apartado 6.1.8. Se comprobó que los temas estaban relacionados con Gestión y Liderazgo en Educación, Educación Infantil, Educación Superior, Marketing en Educación, Educación Contable, Educación y Trabajo, Educación Turística, Educación en Salud Mental y Educación en Organización Industrial. Conclusión: Se ha realizado un análisis cienciométrico de la producción científica Business, Management and Accounting indexada en Scopus, donde se ha constatado los cambios sustanciales durante el periodo analizado desde 1970 hasta 2019, tanto a nivel de producción, como de colaboración entre autores y universidades, así como un análisis de la dimensión cuantitativa de la producción verificando leyes habituales en un estudio de estas características como la Ley de Bradford, Lotka y Bradford

Journal Productivity in Fishery Science an informetric analysis

Knowledge is a human resource which has the ability to consolidate the valuable results of human thinking and civilization through different times. It is the totality of understanding of nature and its features for improved quality of life of human society. Because of this, knowledge has been increasing in volume, dimension and directions. The term ‘information’ and 'knowledge' are often used as if they are interchangeable. Information is ‘potential knowledge‘ which is converted into knowledge by the integration of memory of human beings. In modern times there is a confusion on knowledge usage. Therefore an understanding of the concept ‘knowledge’ is needed for formulation of strategies in information science

Usage-Dependent Information Systems Design.

Usage-dependent phenomenon has been commonly observed in computer information systems (CIS). Since the performance of CIS greatly depends on the phenomenon, how to model it is an important CIS design issue. A usage process model (the Simon-Yule model) for modeling the usage--dependent phenomenon is proposed. The model is modified and successfully applied to the performance evaluation of self-organizing linear search heuristics. Analytical and empirical results indicate that the model provides a realistic performance evaluation of the heuristics and presents a solution to the research open problems which have been unsolved for more than two decades. Furthermore, the results lead to develop a self-organizing mechanism incorporating the usage process model for continuous speech recognition systems in the artificial intelligence arena

Precision Agriculture under a bibliometric view

Precision Agriculture comprises techniques to monitor and control the differentiated application of agricultural inputs, considering the variability of cultivation areas over time to increase productivity and maintain environmental sustainability. Its current form considers the use of high-tech equipment to ensure food safety in the future and, therefore, constantly seeks research that produces innovations for the sector. However, there is a tremendous challenge in evaluating scientific development, given the large volume of information. This study aimed to carry out a scientific mapping of Precision Agriculture from a set of bibliometric techniques supported using the R bibliometrix tool. Based on this objective, the research questions were formulated and answered throughout qualitative quantitative and descriptive exploratory study. The data processing resulted 5,807 articles (13,705 authors) obtained from 1993 to 2020. Among the main results, there is constant growth in the number of publications, especially between 2016 and 2020; more significant concentration among countries, forming well-defined collaboration subnetworks through their institutions; presence of expressive central themes in the research with a high density of studies, such as the use of remote sensing combined with machine learning techniques, due to the growing trend in the amount of processed data

A Bibliometric Study on Learning Analytics

Learning analytics tools and techniques are continually developed and published in scholarly discourse. This study aims at examining the intellectual structure of the Learning Analytics domain by collecting and analyzing empirical articles on Learning Analytics for the period of 2004-2018. First, bibliometric analysis and citation analyses of 2730 documents from Scopus identified the top authors, key research affiliations, leading publication sources (journals and conferences), and research themes of the learning analytics domain. Second, Domain Analysis (DA) techniques were used to investigate the intellectual structures of learning analytics research, publication, organization, and communication (Hjørland & Bourdieu 2014). The software of VOSviewer is used to analyze the relationship by publication: historical and institutional; author and institutional relationships and the dissemination of Learning Analytics knowledge. The results of this study showed that Learning Analytics had captured the attention of the global community. The United States, Spain, and the United Kingdom are among the leading countries contributing to the dissemination of learning analytics knowledge. The leading publication sources are ACM International Conference Proceeding Series, and Lecture Notes in Computer Science. The intellectual structures of the learning analytics domain are presented in this study the LA research taxonomy can be re-used by teachers, administrators, and other stakeholders to support the teaching and learning environments in a higher education institution

A scientometric method to analyze scientific journals as exemplified by the area of information science

==Background== In most academic disciplines journals play an important role in disseminating findings of research among the disciplinary community members. Understanding a discipline\u27s body of journals is therefore of grave importance when looking for previous research, compiling an overview of previous research and and in order to make a decision regarding the best place for publishing research results. Furthermore, based on Bradford\u27s Law of scattering, one can assume that in order to be able to compile a satisfying overview of previous research a wide range of journals has to be scanned, but also that there are some "core" journals which are of more importance to specific disciplines than others. ==Aim== This thesis aims to compile a comprehensive master list of journals which publish articles of relevance to Library and Information Science (LIS). A method to rank journals by their importance is introduced and some key characteristics of the disciplines body of journals are discussed. Databases indexing the disciplines journals are also compared. ==Method== The master list of LIS journals was created by combining the journal listings of secondary sources indexing the field\u27s literature. These sources were six databases focusing on LIS literature: INFODATA, Current Contents, Library and Information Science Abstracts, Library Information Science Technology Abstracts, Information Science and Technology Abstracts, and Library Literature and Information Science, the LIS subsection in three databases with a general focus: Social Science Citation Index, Academic Search Premier, and Expanded Academic ASAP, and the listing of LIS journals from the Elektronische Zeitschriften Bibliothek. Problems related to editorial policies and technical shortcomings are discussed, before comparing: predominant publication languages, places of publication, open access, peer review, and the ISI Journal Impact Factors (JIF). Journals were also ranked by the number of occurrences in multiple databases in order to identify "core" publications. The number of journals overlapping between databases are estimated and a matrix giving the overlap is visualized using multi dimensional scaling. Lastly, the degree of journals overlapping with other disciplines is measured. ==Results== A comprehensive master list of 1,205 journals publishing articles of relevance to LIS was compiled. The 968 active journals are mostly published in English, with one third of the journals coming from the US and another third from the UK and Germany. Nearly 16% of all journals are open access, 11% have a ISIJIF, and 42% are peer reviewed. Fifteen core journal could be identified and a list of the top fourteen journals published in Germany is introduced. Databases have between five to 318 journals in common and the journal collection shows an substantial overlap with a wide range of subjects, with the biggest journal overlap with Computing Studies, and Business and Economics. ==Conclusion== The aim of compiling a comprehensive list of LIS journal was achieved. The list will contribute to our understanding of scholarly communication within the LIS discipline and provide academics and practitioners with a better understanding of journals within the discipline. The ranking approach proved to be sufficient, showing good similarity with other studies over the last 40 years. The master list of LIS journals has also potential use to further research

Demographic and indication-specific characteristics have limited association with social network engagement: evidence from 24,954 members of four health care support groups

Background: Digital health social networks (DHSNs) are widespread, and the consensus is that they contribute to wellness by offering social support and knowledge sharing. The success of a DHSN is based on the number of participants and their consistent creation of externalities through the generation of new content. To promote network growth, it would be helpful to identify characteristics of superusers or actors who create value by generating positive network externalities. Objective: The aim of the study was to investigate the feasibility of developing predictive models that identify potential superusers in real time. This study examined associations between posting behavior, 4 demographic variables, and 20 indication-specific variables. Methods: Data were extracted from the custom structured query language (SQL) databases of 4 digital health behavior change interventions with DHSNs. Of these, 2 were designed to assist in the treatment of addictions (problem drinking and smoking cessation), and 2 for mental health (depressive disorder, panic disorder). To analyze posting behavior, 10 models were developed, and negative binomial regressions were conducted to examine associations between number of posts, and demographic and indication-specific variables. Results: The DHSNs varied in number of days active (3658-5210), number of registrants (5049-52,396), number of actors (1085-8452), and number of posts (16,231-521,997). In the sample, all 10 models had low R2 values (.013-.086) with limited statistically significant demographic and indication-specific variables. Conclusions: Very few variables were associated with social network engagement. Although some variables were statistically significant, they did not appear to be practically significant. Based on the large number of study participants, variation in DHSN theme, and extensive time-period, we did not find strong evidence that demographic characteristics or indication severity sufficiently explain the variability in number of posts per actor. Researchers should investigate alternative models that identify superusers or other individuals who create social network externalities

A Survey of Information Retrieval and Filtering Methods

We survey the major techniques for information retrieval. In the first part, we provide an overview of the traditional ones (full text scanning, inversion, signature files and clustering). In the second part we discuss attempts to include semantic information (natural language processing, latent semantic indexing and neural networks)