Thematic Communities Research Articles

Electronics and Its Worldwide Research

The contributions of researchers at a global level in the journal Electronics in the period 2012–2020 are analyzed. The objective of this work is to establish a global vision of the issues published in the Electronic magazine and their importance, advances and developments that have been particularly relevant for subsequent research. The magazine has 15 thematic sections and a general one, with the programming of 385 special issues for 2020–2021. Using the Scopus database and bibliometric techniques, 2310 documents are obtained and distributed in 14 thematic communities. The communities that contribute to the greatest number of works are Power Electronics (20.13%), Embedded Computer Systems (13.59%) and Internet of Things and Machine Learning Systems (8.11%). A study of the publications by authors, affiliations, countries as well as the H index was undertaken. The 7561 authors analyzed are distributed in 87 countries, with China being the country of the majority (2407 authors), followed by South Korea (763 authors). The H-index of most authors (75.89%) ranges from 0 to 9, where the authors with the highest H-Index are from the United States, Denmark, Italy and India. The main publication format is the article (92.16%) and the review (5.84%). The magazine publishes topics in continuous development that will be further investigated and published in the near future in fields as varied as the transport sector, energy systems, the development of new broadband semiconductors, new modulation and control techniques, and more.

Progress in the Knowledge, Application and Influence of Extremely Low Frequency Signals

This paper describes the characteristics of contributions made by researchers worldwide in the field of ELF (extremely low frequency) waves from 1957 to 2019. The data were collected through the Scopus database and processed with analytical and bibliometric techniques. The selection of the keywords is an essential step, because ELF has a very different meaning in some areas of medicine, where it is associated with a gene. A total of 12,436 documents were worked on in 12 thematic communities according to their collaborative relationships between authors and documents. Studies included authors publishing in the different thematic areas and the country where the USA stands first with more researchers in this theme than China and Japan. Documents were analyzed from the temporal perspective, their overall contribution, means of publication, and the language of the publication. Research requires extra effort and multidisciplinary collaboration to improve the knowledge, the application, and influence of these fields.

Strong and Weak Relations in the Academic Web

The web graph is the most popular model of real Web fragments used in Web science. The study of communities in the web graph contributes to a better understanding of the organization of the fragment of the Web and the processes occurring in it. It is proposed to allocate a communication graph in a web graph containing only those vertices (and arcs between them) that have counter arcs, and in it to investigate the problem of splitting into communities. By analogy with social studies, connections realized through edges in a communication graph are proposed to be called "strong" and all others "weak". Thematic communities with meaningful interpretations are built on strong connections. At the same time, weak links facilitate communication between sites that do not have common features in the field of activity, geography, subordination, etc., and basically preserve the coherence of the fragments of the Web even in the absence of strong links. Experiments conducted for a fragment of the scientific and educational Web of Russia show the possibility of meaningful interpretation of the results and the prospects of such an approach.

Where Russian Online Nationalists Go When Their Communities are Banned: A Case Study of Russian Nationalism

This article presents the results of a case study of the online community Russian Nationalism, one of the most popular Russian nationalists’ online communities on VKontakte in 2012–2016. The article aims to find out where network leaders and common members of nationalist online groups closed on the Russian Internet go and in which thematic communities they continue their activity. Russian Nationalism members’ personal profiles and friendly links on VKontakte were used as data sources. The metrics of social network analysis were used to study Russian Nationalism’s network structure. The study showed that the ban of a massive extreme right nationalist online group leads to an increase in the number of smaller shelter groups that retain their ideological basis, but abandon the clearly expressed hate speech; members of a banned nationalist group flow to groups whose content is both close (militaristic, cultural, and historical) and far (everyday) to the extreme right. The content of the latter can transform in line with the nationalist ideology. The case study of Russian Nationalism shows a high potential for diffusion of extreme right nationalist ideas in the Russian network space, which manifests in their ability to penetrate other thematic and ideological areas of public discourse.

MANIFESTATION OF SATANISM IN RUSSIA

The article discusses the representation of satanic thematic communities on VKontakte and analyzes their numbers. The lack of sociological data on the number of followers of Satanic movements determines the study of the field ideas are broadcast in. The study identified groups that cover the audience of more than 54,000 people, of which more than 23,000 indicated their residence in the Russian Federation. The consolidation of supporters of satanic ideas in the virtual space implies their further manifestation in real life. The destructive manifestation of the activity of satanic groups or persons who consider themselves to be Satanism is represented by judicial acts, which were distributed according to the classification of V.A. Martinovich into two groups youth and rationalistic Satanism. The presented judicial acts are dominated by youth Satanism, which clearly shows the challenges society faces in modern Russia. The popularity of satanic ideas is enhanced, among other things, by media content where Satan is considered from an alternative point of view and thus the romanticization of his image can be formed. Critical media content about the activities of satanic groups can also form the attractiveness of such groups in the teenage milieu as a form of protest

Detection of Communities within the Multibody System Dynamics Network and Analysis of Their Relations

Multibody system dynamics is already a well developed branch of theoretical, computational and applied mechanics. Thousands of documents can be found in any of the well-known scientific databases. In this work it is demonstrated that multibody system dynamics is built of many thematic communities. Using the Elsevier’s abstract and citation database SCOPUS, a massive amount of data is collected and analyzed with the use of the open source visualization tool Gephi. The information is represented as a large set of nodes with connections to study their graphical distribution and explore geometry and symmetries. A randomized radial symmetry is found in the graphical representation of the collected information. Furthermore, the concept of modularity is used to demonstrate that community structures are present in the field of multibody system dynamics. In particular, twenty-four different thematic communities have been identified. The scientific production of each community is analyzed, which allows to predict its growing rate in the next years. The journals and conference proceedings mainly used by the authors belonging to the community as well as the cooperation between them by country are also analyzed.

Big data of innovation literature at the firm level: a review based on social network and text mining techniques

ABSTRACT This paper aims to provide a state-of-the-art-review of the literature on the innovation process at the firm level (IFL), based on Social Network Analysis and Text Mining techniques. As opposed to the ‘black box’ vision, we conceive innovation as a process that emerges from formal and informal R&D efforts. Based on search results on academic publishing, we built a corpus of 13,132 contributions, published between 1970 and 2018. A bibliographic-coupling analysis was then performed, which allowed us to detect eight thematic communities: i) Collaborative innovation, ii) Business model, iii) Knowledge management, iv) Innovation capabilities, v) Firm performance, vi) Networks of innovators, vii) R&D studies, and viii) Eco-innovation. Each of them is subsequently analyzed with text mining and tested using term-based clustering. Our analysis reveals the existence of multiple and heterogeneous dimensions of the IFL that are partially addressed by the literature. Findings open up new questions about the content of the communities and the existence of bridges between them.

Colegios invisibles y patrones de colaboración en el Sistema de Investigación Agropecuaria en Colombia

Se analizan los patrones de colaboración del sistema de investigación agropecuario en Colombia que surgen de la conformación de colegios invisibles. El análisis se hace en tres niveles: macro, referido a los patrones generales que organizan la colaboración en colegios invisibles, meso, que describe la capacidad de enlace de las distintas organizaciones en el sistema y micro, la conformación de colegios invisibles que permiten observar la diversidad temática. La combinación de los tres niveles, reflejan un sistema de investigación en proceso de consolidación, pero aún frágil. Para este estudio se consideraron las publicaciones realizadas en revistas Web of Science por autores adscritos al Programa Nacional de CTI en Ciencias Agropecuarias y aquellos relacionados con la emergencia de comunidades temáticas derivadas el acoplamiento bibliográfico. Metodológicamente se aplica un análisis multinivel de redes de co-citación y colaboración empleando coeficientes de correlación, identificando conectores del sistema y detectando las comunidades semánticas que se constituyen en colegios invisibles.

Sentiment Analysis of "AUTOSTRADA.INFO/RU" Users’ Comments

As a result of the analysis, it was revealed that social networks (Vkontakte, Facebook), thematic communities in microblogging networks (Twitter), resources for travelers (TripAdvisor), transport portals (Autostrada) are a source of up-to-date and operational information about the traffic situation, the quality of transport services and passenger satisfaction with the quality of levels of transport services. However, the existing transport monitoring systems do not contain software tools capable of collecting and analyzing traffic information located in the Internet environment. This paper discusses the task of building a system for automatically retrieving and classifying road traffic information from transport Internet portals and testing the developed system for analyzing the transport networks of Crimea and the city of Sevastopol. To solve this problem, an analysis of open source libraries for thematic data collection and analysis was carried out. An algorithm for extracting and analyzing texts has been developed. A crawler was developed using the Scrapy package in Python3, and user feedback from the portal http://autostrada.info/ru was collected on the state of the transport system of Crimea and the city of Sevastopol. For texts lemmatization and vector text transformation, the tf, idf, tf-idf methods and their implementation in the Scikit-Learn library were considered: CountVectorizer and TF-IDF Vectorizer. For word processing, Bag-of-Words and n-gram methods were considered. During the development of the classifier model, the naive Bayes algorithm (MultinomialNB) and the linear classifier model with optimization of the stochastic gradient descent (SGDClassifier) were used. As a training sample, a corpus of 225,000 labeled texts from the Twitter resource was used. The classifier was trained, during which the cross-validation strategy and the ShuffleSplit method were used. Testing and comparison of the results of the pitch classification were carried out. According to the results of validation, the linear model with the n-gram scheme [1, 3] and the vectorizer TF-IDF turned out to be the best. During the approbation of the developed system, the collection and analysis of reviews related to the quality of transport networks of the Republic of Crimea and the city of Sevastopol were conducted. Conclusions are drawn and prospects for further functional development of the developed tools are defined.

Boosting Rural Areas Revitalization in the Mediterranean through Cross-cutting Approach Based on Ecological and Social Resilience

Urban areas have been identified as one of the key challenges to tackle in the next decades. Most of the environmental impacts associated to urban contexts are linked to an unsustainable use of resources basically due to urban planning and society’s consumption behaviour. Currently, the paradigm of sustainable cities brought out in the past years situates urban contexts as an opportunity to reduce these impacts. There is a wide range of strategies focused on cities and their transition to a more sustainable urban model: compactness, sustainable mobility, energy efficiency, waste management and greening are some of the most relevant approaches with clear indicators and implementation plans. However, rural areas are still pending for a precise strategy that highlights their ecological added value avoiding to be defined only as “not urban”. Rural areas should be emphasized from their productivity perspective and their key role in terms of resilience and adaptation to Climate Change. In the framework of the Interreg Med Programme, Thematic Communities are working on the capitalisation of projects from different kind of approaches of application in the Mediterranean Area. Four of these communities - Renewable Energy, Green Growth, Sustainable Tourism and Efficient Buildings - have several projects that present rural areas as one common territory of intervention. The aim of this paper is to expose the standards and goals proposed by the Interreg Med Thematic Communities for Rural Areas Revitalization as a resilience strategy in the Mediterranean Region, using a cross-cutting approach. The cross-cutting approach stresses the relation among the environment, society and economy: rural liveability, increasing RES production with sharing microgrid systems & efficient buildings, as well as green economy based on sectors such as agricultural & tourism activities. These standards and results will provide reference values to shape final policies recommendations. Consequently, the present paper is based on the joint cross-thematic effort and work from four thematic communities of the Interreg MED programme, previously mentioned. It includes some references to existing research studies, but the aim is to open the path to identify new challenges of Mediterranean rural areas and find potential solutions from a holistic approach.

Network cartography of university students\u2019 knowledge landscapes about the history of science: landmarks and thematic communities

We examine students’ representations of their conceptions of the interlinked nature of science history and general history, as well as cultural history. Such knowledge landscapes of the history of science are explored by using the knowledge cartographic, network-based method of analysis to reveal the key items, landmarks, of the landscapes. We show that Katz centrality and Katz centrality efficiency are robust and reliable measures for finding landmarks. It is shown that landmarks are most often persons but include also colligatory landmarks, which refer to broader sets of events or ideas. By using Katz centrality we study how landmarks depend on periodisation of the networks to see what kinds of changes occur by changing the time window on history. The community structure of the networks is studied by using the Louvain method, to reveal the strong thematic dependence of the communities. When landmarks are studied in relation to community structure, it is found that colligatory landmarks gain importance in relation to person-centred landmarks. Network-based cartography thus reveals many features about landmarks, how communities emerge around them and how they depend on periodisation, which traditional methods can only detect or identify with difficulty. Such knowledge has direct impact on the design and planning of education and courses which could better address the need to facilitate a deeper understanding of the related nature of science history and history in general.

Campus management process dynamics – Finnish and Australian practices

PurposeThis paper aims to outline campus management process dynamics that are affected by glocalization, changing funding structures and digitalization, and answer: How do glocalization, changing funding structures and digitalization challenge university campus management? and What implications do the challenges have on campus management processes?Design/methodology/approachLiterature overview discusses how glocalization, changing funding structures and digitalization affect campus management. Empirical part explores how these forces affect management processes through 36 interviews on multiple embedded cases in the main campuses of Aalto University in Finland and the University of Melbourne in Australia.FindingsMajor challenges include future foresight, institutional sharing, economical paucity and functional flexibility. Heterogeneous user behaviors challenge absolute spatial measures as bases for designing learning and working environments. Finding a balance between long-haul portfolio maintenance for the university and future users and short-haul flexible pilots for the current user communities is crucial.Research limitations/implicationsThe results derive from interviews of 36 campus management professionals from two campus management organizations limiting the validity and the reliability of the study. Further studies should be conducted by replicating the study in another context, by interviewing end users and clients and by investigating case investments and impacts over time.Practical implicationsCampus managers can answer the challenges through practical applications such as big data collection and sharing in physical environments, integrated service provision to thematic communities, cross-pollination of user communities and open access to information and infrastructure services.Originality/valueThis paper provides insights and tools to strategic alignment by comparing campus management of two fundamentally different systems in the context of higher education and on-going digitalization.

La incorporación de los portafolios electrónicos en el proceso enseñanza-aprendizaje y evaluación de la geografía en el alumnado de educación a distancia = The incorporation of electronic portfolios learning in geography and evaluation process in distance

This communication presents the meaning and characteristics of an electronic portfolio applied in a university context of distance learning in the course: «Introduction to Research in Social Spaces» for the Master of UNED called: «Methods and advanced techniques historical, artistic and geographical research «within the itinerary of Geography. The ALF platform UNED will be e-Learning tool that will allow train, manage and share documents, create and participate in thematic communities, as well as make online projects. Through the same will take place around the exchange of documentation, brainstorming, basic orientations and even tracking processes from start to finish.

Analyzing the Chinese landscape in anti-diabetic drug research: leading knowledge production institutions and thematic communities.

BackgroundThe discovery of anti-diabetic drugs is an active Chinese medicine research area. This study aims to map out anti-diabetic drug research in China using a network-based systemic approach based on co-authorship of academic publications. We focused on identifying leading knowledge production institutions, analyzing interactions among them, detecting communities with high internal associations, and exploring future research directions.MethodsTarget articles published in 2009–2013 under the topic “diabetes” and subject category “pharmacology & pharmacy,” with “China,” “Taiwan,” “Hong Kong,” or “Macao” (or “Macau”) in the authors’ address field were retrieved from the science citation index expanded database and their bibliographic information (e.g., article title, authors, keywords, and authors’ affiliation addresses) analyzed. A social network approach was used to construct an institutional collaboration network based on co-publications. Gephi software was used to visualize the network and relationships among institutes were analyzed using centrality measurements. Thematic analysis based on article keywords and Rsc value was applied to reveal the research hotspots and directions of network communities.ResultsThe top 50 institutions were identified; these included Shanghai Jiao Tong University, National Taiwan University, Peking University, and China Pharmaceutical University. Institutes from Taiwan tended to cooperate with institutes outside Taiwan, but those from mainland China showed low interest in external collaboration. Fourteen thematic communities were detected with the Louvain algorithm and further labeled by their high-frequency and characteristic keywords, such as Chinese medicines, diabetic complications, oxidative stress, pharmacokinetics, and insulin resistance. The keyword Chinese medicines comprised a range of Chinese medicine-related topics, including berberine, flavonoids, Astragaluspolysaccharide, emodin, and ginsenoside. These keywords suggest potential fields for further anti-diabetic drug research. The correlation of −0.641 (P = 0.013) between degree centrality and the Rsc value of non-core keywords indicates that communities concentrating on rare research fields are usually isolated by others and have a lower chance of collaboration.ConclusionWith a better understanding of the Chinese landscape in anti-diabetic drug research, researchers and scholars looking for experts and institutions in a specific research area can rapidly spot their target community, then select the most appropriate potential collaborator and suggest preferential research directions for future studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s13020-016-0084-y) contains supplementary material, which is available to authorized users.

Coupling human- and machine-driven mapping of SKOS thesauri

This paper elaborates on the importance of the Simple Knowledge Organisation System (SKOS) format for developing thesauri in the context of Spatial Data Infrastructures (SDIs) and presents a prototype application supporting one of the most important tasks for the harmonisation of SKOS thesauri, i.e., relating independent categorisations of terms that may be developed by distinct thematic communities. This work outlines the main sources for SDI-related thesauri that are currently available and addresses many challenges that shall be tackled to streamline the development process associated with these resources. This paper also describes the ongoing activities for the extension of the tool to support automatic derivation of mappings through recourse to ontology-matching tools and algorithms.

La Neurología en Internet

The internet currently offers a powerful, but underused, substructure for fluid contact between neurologists all over the world. For improved exploitation of these resources, Thematic Virtual Communities are necessary to organize the information and to make available the tools which the necessary for the best use of it. The internet represents a great advantage for investigation and also for clinical practice, since it permits free, universal access to data bases and the interchange of texts, images and videos. Thus it facilitates multicentric trials, the circulation of scientific journals, long-distance education and telemedicine.