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EN
In the paper the measures of the social network analysis were discussed in terms of their relevance to describe an interlocking directorates’ strategy with the suggestion of closeness and eigenvalue as best suited. The statistical analyses were presented. The analysis of the aforementioned measures’ statistical properties and their links with board size and degree revealed that it is hard to optimize them simultaneously by simply increasing a value of degree. As closeness is rather linearly linked to degree, insomuch as increasing eigenvalue, as latter requires the analysis of the network structure in order to optimize benefits to costs ratio.
EN
Using social network analysis for the studies of organizational structure allows to understand in more details the ways of real organizing of employees. The manner in which people work is the quotidian knowledge that is often not realized very well but it is essential for effective performance of a company. The article presents the research process that results in a picture of organizational structure reflected as the network of connections between employees. The studies are usually conducted with survey questions that are presented in the article (cooperation, information flow, the flow of knowledge and problem-solving, and finally the decision flow) and interpreted in the context of the analysis made in a real company. The network structure of an innovative IT company (125 employees) consisting of 3097 connections has been visualized and analyzed. We tested the assumptions regarding the degree of company integration, the level of centralization in decision making process, the way of task coordination and the possible blockages in the flow of knowledge. We also highlighted employees that were important in these areas and specified their roles.
EN
The article, based on empirical research in one of the production and service companies acting in energy industry, develops the introductory implications on how social capital of change leaders is linked to the effectiveness of change implementation. Using organisational network analysis the author examines influence of social capital of change leaders in the area of real work flow during change implementation and open communication flow on change effectiveness. One finds that ties among change leaders in those two dimensions have distinct change effectiveness effects. In broaden aspect, findings have major implications on change management research and imply further research in this matter to be conducted by the author.
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EN
The aim of the article is to describe the relations between institutions in the public, private and non-profit sectors that are considered the most important actors of negotiation and decision-making in local development. These institutions and the relations between them are defined as a social network. A study was carried out in the small Czech towns of Blatná, Český Krumlov and Velké Meziříčí, and data were collected in 2007 and 2008. The first part of the article describes the institutional actors, the collection of the relational data, and the context of the three towns that were studied. The analytical part consists of social network analysis. Basic quantitative characteristics are used to describe and compare the social networks of the institutional actors in the local development of the three towns. The conclusions indicate the unconditional significance of local public administration institutions and the significance of other local institutions; relations to extra-local institutions are rather weak. A section on methodology at the end of the article contains methodological notes on Hellinger divergence and SNA.
EN
In the contemporary world of global business and continuously growing competition, organizations tend to use mergers and acquisitions to enforce their position on the market. The future organization's design is a critical success factor in such undertakings. The field of social network analysis can enhance our uderstanding of these processes as it lets us reason about the development of networks, regardless of their origin. The analysis of mixing patterns is particularly useful as it provides an insight into how nodes in a network connect with each other. We hypothesize that organizational networks with compatible mixing patterns will be integrated more successfully. After conducting a simulation experiment, we suggest an integration model based on the analysis of network assortativity. The model can be a guideline for organizational integration, such as occurs in mergers and acquisitions.
EN
The aim of this study is to identify the central and peripheral actors in two ethnically homogenous theoretical high school classes, in order to prove that the positive and the negative ties produce different networks. Measures of density and centrality were used for identifying differences between the two types of social networks. The results confirmed that, at the network level, the negative network is not the inverse of the positive network. At the individual level, results did not indicate whether those persons who are on the periphery of the positive network are also on the periphery of the negative network. Furthermore, besides confirming the fact that the positive networks are denser than the negative ones, I found that negative networks are highly polarized in comparison with positive networks.
EN
There is a great variety of software tools that has been developed within the last 20 years, as to facilitate and support the qualitative and quantitative analysis of social networks. This paper gives a brief overview of some of the most popular software packages for social network analysis: Pajek, UCINET 6, NetDraw, Gephi, E-Net, KeyPlayer 1, StOCNET and Automap. Pajek has efficient algorithms for the analysis of large networks, while UCINET 6 includes multiple analytical tools highly efficient for exploring and measuring social network structures. NetDraw, nested in UCINET 6, and Gephi allow network visualization. E-Net and KeyPlayer 1 satisfy rather specific and well-oriented purposes: ego-network analysis and network key-player operations (node removal or utilization). StOCNET provides a platform for statistical methods focusing on probabilistic models, while Automap is a text mining tool for analyzing text relational data.
EN
The dissemination of pro-Russia ideologies and associated visual motifs has become widespread and transversal, encompassing various communities within the digital ecosystem. This trend has been linked to the related cognitive warfare that targets public opinion, manipulates information, and undermines the credibility of democratic institutions. Regarding the Italian context, the period from 2019 to 2023 saw a dramatic increase in the number of actors promoting pro-Russia narratives. They included members of the novax and no-greenpass movements, conspiracy theorists, far-right organizations, neo-Nazi groups, and ultras. Concurrently, the digital ecosystem has contributed the spread of violent content and anti-establishment propaganda online. In order to identify and explore the Italian digital ecosystem affected by pro-Russia ideologies, this study exploits a combination of exponential discriminative snowball sampling and social network analysis techniques on the Telegram instant messaging service. Through this approach, this research provides insight into the organizational structure and dynamics of the network, identifying key actors and their relationships, and the dissemination patterns of pro-Russia and anti-establishment propaganda. This study proposes a new research methodology to study digital ecosystems permeated by cognitive warfare campaigns and provides a deeper understanding of the mechanisms through which such content is propagated, enabling the development of effective strategies for countering disinformation and promoting fact-based discourse.
EN
This paper focuses on second language acquisition in the context of social interactions naturally taking place among learners, especially in immersion/Study Abroad settings. We showcase the methodology of social network analysis, which has recently shed new light on the relationship between the individual position in the social network and language acquisition, helping to determine which contexts, intensity and direction of interactions are most conducive to L2 progress. At the time of the current COVID-19 pandemic, physical interactions can pose an epidemiological risk. Thus, we conclude with a discussion concerning the challenge of maximising students’ exposure to the target language in the context of emergency remote learning.
EN
The topic of this article is network analysis, shown as an activating method used in education. Due to a growing interest in social networking sites and an increased importance of cooperation, it is necessary to improve students’ skills in the field of methods provided by Social Network Analysis (SNA). The potential of social networks can be used, for example to develop contacts, share ideas and as a communication tool. The aim of this paper is to present how students can study “network effects” − the value generated by network structures. This issue will be clarified on the example of Metcalfe’s law, selected measures of the SNA method and others. The exercise presented in the article is an excellent base for conducting in-depth research using the SNA method, which in turn allows to identify barriers to the flow of knowledge, discover invisible structures and relationships, analyse the collected data quantitatively and qualitatively. The article will indicate directions of using the analysis of social networks in research works at universities
PL
Badania sieci przedsiębiorstw można uznać za współczesny imperatyw zarządzania wynikający z istotnych uwarunkowań otoczenia i rozwoju nowych modeli biznesu. Celem artykułu jest przedstawienie głównych problemów dotyczących badań sieci w zarządzaniu strategicznym w kontekście zastosowania analizy sieci społecznych (SNA – Social Network Analysis). Za najważniejsze uznano wybór podstawy teoretycznej wyjaśniającej procesy i mechanizmy sieciowe, określenie typu badanej sieci i rodzaju powiązań oraz wyznaczenie poziomu analizy sieci. Ze względu na specyfikę zarządzania strategicznego rozważania ograniczono do przykładu sieci przedsiębiorstw lub ich głównych decydentów, takich jak członkowie zarządów lub rad nadzorczych. W przeprowadzonej analizie koncentrowano się zarówno na możliwościach analizy sieci społecznej, jak też na jej rzeczywistych ograniczeniach determinujących zakres potencjalnych badań.
EN
Research on corporate networks can be seen as a modern management imperative resulting from significant determinants of the environment and the development of new business models. The aim of this article is to present the main issues of network research in strategic management in the context of use of social network analysis (SNA). The choice of a theoretical basis for explaining the processes and mechanisms of the network, specification of the type of tested network and the type of relations, as well as determination of the level of network analysis are recognised as the most important problems. In view of the specificity of strategic management, considerations are limited to the examples of a network of companies or a network of main decision-makers, such as members of management or supervisory boards. The analysis focuses on both the opportunities of social network analysis as well as its actual limitations that determine the range of potential research.
EN
This study provides the first comprehensive introduction to exponential random graph models (ERGM) in the Czech academic literature. In it we apply ERGM to a network of 68 organisations involved in the Czech coal policy subsystem. First, we summarise the major limitations of the statistical modelling of network data arising from the interdependencies among observations and explain principled solutions to them provided by ERGM. Next, we discuss ERGM’s metatheoretical assumptions and their embeddedness within the broader context of social science research. We then introduce three types of relational mechanisms (endogenous, individual, and dyadic) operationalised as specific configurations, which we illustrate through the empirical example of an expert information network. Following a descriptive analysis we apply ERGM, breaking it down into three main steps: simulation, estimation, and estimation assessment. We provide a detailed interpretation of the model’s development and results, along with recommendations for building a model and solutions to convergence failure problems. One important finding is that one predictor of the exchange of expert information is ideological homophily, which reduces the potential of expertise to seek compromise solutions. We close with a discussion of the results and ERGM extensions to apply to more complex types of network data such as bipartite and multiplex networks and valued and longitudinal data.
EN
The paper presents to Czech social scientists an introductory review of the concept of equivalence and the method of blockmodeling in social network analysis (SNA). After introducing the central concepts of SNA such as node and tie, along with their basic metrics such as centrality and cohesion, I present the concepts of role and position. These are treated by SNA as clusters of nodes with similar ties, something I juxtapose to algorithms to identify cohesive subgroups of nodes. Subsequently, I define and compare the two most frequently applied types of equivalence - structural, which is strict but broadly applicable, and regular, which is more liberal but has limited uses. Structural equivalence builds on a strict definition of similarity of ties, treating as equivalent only such nodes that have the same ties to the same other nodes. Regular equivalence works with looser criteria and better corresponds with both the theoretical and the intuitive notions of role; this, however, is outweighed by the absence of a unique regular-equivalent solution within a network and by the difficulty to process networks with undirected ties. Regular-equivalent nodes are such that have ties to other mutually equivalent nodes. I present examples to demonstrate the differences between both definitions. In the following section, I discuss measurement of similarity between the different nodes’ profiles of ties (e.g., correlation and Euclidean distance) and possible uses of the standard statistical methods of cluster analysis and multidimensional scaling to detect equivalent classes of nodes within networks. After pointing to the weaknesses of these techniques in network data analysis, I present blockmodeling as a method designed specifically to identify roles and positions within networks. Ischematize the blockmodeling procedure and present its basic terms before comparing classic inductive blockmodeling, which is primarily fit for the purposes of exploration and network reduction, with deductive generalized blockmodeling, which is applicable in testing hypotheses about basic structural characteristics of a network. I bring attention to the strengths and weaknesses of both approaches. Relatedly, I present an application of blockmodeling especially for the purposes of simplified network representation, comparing structural patterns across networks, and testing structural theories. In the following section, I demonstrate specific blockmodeling algorithms based on both structural equivalence (CONCOR and Tabu Search optimization) and regular equivalence (REGE and Tabu Search optimization). Then I verify the adequacy of their resulting assignment of positions to nodes using eta coefficient, Q modularity and correlation of the ideal blocked and the empirical adjacency matrices. In the concluding section, I demonstrate the entire blockmodeling procedure on an empirical case of a small network with undirected ties using the UCINET software tool, including interpretation of results. Finally, I reflect the contemporary position of blockmodeling among leading research approaches in SNA, referring to other empirically oriented studies that demonstrate the broad applicability and utility of position analysis.
EN
The field of social network studies has been growing within the last 40 years, gathering scholars from a wide range of disciplines (biology, chemistry, geography, international relations, mathematics, political sciences, sociology etc.) and covering diverse substantive research topics. Using Google metrics, the scientific production within the field it is shown to follow an ascending trend since the late 60s. Within the Romanian sociology, social network analysis is still in his early spring, network studies being low in number and rather peripheral. This note gives a brief overview of social network analysis and makes some short references to the current state of the network studies within Romanian sociology
Organon
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2017
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vol. 49
105-153
EN
The majority of analyses investigating the professionalisation of scientific domains tend to assume the linear and general features of this transformation. These studies focus on the shift from a non–professionalised state to a professionalised state. This dual approach, however, crucially lacks some other aspects of the process of profession- alisation. This issue is discussed within the context of the growth of prehistoric archaeology in France from the 1940s, by observing scientific societies, national research organisations and their social networks. Looking at the scale of Georges Laplace’s career and that of his research group, which studied the typo- logie analytique method, this article demonstrates the benefits of a ternary model which also encompasses the modes of refusal of professionalisation.
PL
Podejście agregacyjne to obecnie dominujący sposób prowadzenia analiz w badaniach nad działaniami zbiorowymi i ruchami społecznymi. W obrębie metod agregacyjnych działania analizuje się jako sumę wartości odrębnych elementów (zmiennych). Artykuł zawiera praktyczną ilustrację technik uzupełnienia agregacyjnych metod badawczych metodami relacyjnymi w socjologii ruchów społecznych. Autor opisuje wyniki badania, którego przedmiotem był ruch skrajnej prawicy w Polsce, w latach 1990–2013. Po zaobserwowaniu zmian czasowych w wariancji przemocy stosowanej przez ruch skrajnej prawicy, zaistniała potrzeba zastosowania bardziej precyzyjnego narzędzia, które umożliwiłoby wyjaśnienie, dlaczego w określonym przedziale czasowym skala przemocy istotnie zmalała. Regresja logistyczna okazała się tylko częściowo pomocna w ustaleniu warunków, w których przemoc ze strony skrajnej prawicy słabnie. Dopiero relacyjne ujęcie pozwoliło uchwycić najważniejsze cechy „przestrzeni” (pola), w jakiej funkcjonuje ruch skrajnej prawicy w Polsce.
EN
The aggregative approach is currently a dominant way of conducting analyses on collective actions and social movements. Within aggregative methods, actions are analyzed as a sum of the values of separate elements, or variables. The article offers an empirical illustration of the techniques for complementing aggregative research methods with relational methods in the sociology of social movements. It presents the study on the extreme right movement in Poland covering the period between 1990 and 2013. The findings have indicated the changes in the variance of violence perpetrated by the extreme right movement overtime. They have created a need for a more precise tool capable of explaining why the scale of violence have decreased significantly over a specific period. Relational approach has allowed to capture the most important features of the ‘space’, or field, in which the extreme right movement in Poland functions.
EN
This study focused on science communication on the websites of Czech research institutions. Particularly, we inquired to what extent Czech science is shared with the public on the Internet and what differences can be found between the websites of social and natural science institutions. Textual analysis revealed that on the scientific websites, terms like ‘science’ and ‘popularization’ occurred together with references to scientific institutions, study, and research. In the case of natural sciences, the term ‘popularization’ was more often linked to receiving science awards for science popularization and promotion. Structural web analysis showed that most scientific webs contained hyperlinks to social media such as Facebook, Twitter, YouTube, Instagram, and LinkedIn. Similarly, they often referred to online news outlets such as ceskatelevize.cz, novinky.cz, lidovky.cz, and rozhlas.cz. On the other side, they much less often referred to institutional and government websites. The results suggested that Czech science communication can be characterized as more interactive than canonical.
EN
The article provides an analysis of the mobilization strategies of far-right movements from the Czech Republic and Germany based on the content they provide via hyperlinks on their websites. Vertical and reticular characteristics of the hyperlinked pages have been analyzed, two aspects which form central parts of the mobilization strategies of social movements. The vertical level refers to territorial relations, while the reticular level refers to relations with other actors. The analyses confirmed that the movements focused on the vertical level to their countries of origin. With respect to reticular characteristics the type of hyperlinked content neither differs significantly throughout countries, nor throughout segments of the far-right movement. Additionally, the analysis of the type of hyperlinked content provides insight into the general mobilization strategies employed.
PL
Aby prześledzić rozwój nauki, przebadać można m.in. rozwój charakterystycznych dla niej teorii i metod, instytucje, w których dana nauka jest uprawiana, oraz publikacje jako wyraz pracy naukowej, a w końcu – samych pracowników naukowych. Artykuł stanowi właśnie próbę opisu przedstawicieli współczesnej polskiej bibliologii. Jako źródło danych wybrano Suplement IV Słownika pracowników książki polskiej, wydany w 2016 r. Biogramy zawarte w Słowniku zostały przeanalizowane pod kątem charakterystyk wspólnych opisanych w nim osób, takich jak: wykształcenie, miejsce pracy, udział w stowarzyszeniach naukowych. Za graniczną datę początkową analizy przyjęto rok 1945, co dało łącznie 263 rekordy. W badaniu wykorzystano analizę ilościową oraz metodę analizy sieci społecznych (ang. social network analysis, SNA).
EN
There are several ways to trace the development of science – to analyze the theory and methods, institutions and publications as an expression of scientific work, and last but not least - the scientists. Article tries to describe representatives of modern Polish book science. As a source of data Supplement IV of Dictionary of Polish Book Specialists [Słownik pracowników książki polskiej. Suplement IV], published in 2016, was selected. Biographies were analyzed for common characteristics, such as education, employment, participation in associations. Starting date of analysis was 1945, giving a total of 263 records. The study used quantitative analysis and a method of social network analysis (SNA).
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