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Digitale Netzwerkanalyse dramatischer Texte
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Trilcke P., Fischer F., Kampkaspar D.
Das Projekt ‘Digitale Netzwerkanalyse dramatischer Texte’ steht in der Tradition strukturanalytischer Ans¨atze in der Literaturwissenschaft (allgemein Titzmann 1977), die es einerseits im Sinne eines konsequent netzwerkanalytischen Relationismus (mit Rekurs auf die Social Network Analysis, siehe u. a. Wasserman/Faust 1998), andererseits unterstutzt durch Verfahren der automatisierten ¨ Datenerhebung und -auswertung weiterentwickelt, um sie auf gr¨oßere Textkorpora anzuwenden und so umfassende relationale Daten uber Prozesse des literaturgeschichtlichen Strukturwandels ¨ gewinnen zu k¨onnen.
Language:
German
Keywords: network analysis
In book
Austrian Centre for Digital Humanities, 2015
Alina V. Vladimirova, Journal of political power 2022 Vol. 15 No. 3 P. 556-571
Soft power is one of the most influential concepts in the discipline of international relations, yet it is highly criticized for ambiguity and analytical weakness. Thus, through thoughtful literature reviews, scholars continue with clarifying and mapping the theory within a broader political power research programme. It is in this scholarly context that this article offers ...
Added: February 14, 2024
Maltsev A., Международные процессы 2020 Т. 18 № 4 (63) С. 36-61
This article explores the role of technology proliferation within the international arms trade as the major part of political structure of international system. The first part of the article suggests a brief overview of the existing studies of international arms transfer as an integral system in international relations, specifically emphasizing the impact of Krause’s (1992) ...
Added: September 21, 2021
Fischer F., Göbel M., Kampkaspar D. et al., Proceedings of DH2015 2015
Added: September 28, 2016
Aleskerov F. T., Meshcheryakova N., Shvydun S. et al., , in : 6th International Conference on Computers Communications and Control (ICCCC) 2016. : Oradea : Agora University, 2016. P. 118-123.
The problem of quick detection of central nodes in large networks is studied. There are many measures that allow to evaluate a topological importance of nodes of the network. Unfortunately, most of them cannot be applied to large networks due to their high computational complexity. However, if we narrow the initial network and apply these ...
Added: June 8, 2016
Aleskerov F. T., Shvydun S., Meshcheryakova N., CRC Press, 2022
Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions ...
Added: November 12, 2021
Springer, 2020
Springer Proceedings in Complexity publishes proceedings from scholarly meetings on all topics relating to the interdisciplinary studies of complex systems science. Springer welcomes book ideas from authors. The series is indexed in Scopus.
Proposals must include the following: - name, place and date of the scientific meeting - a link to the committees (local organization, international advisors etc.) - ...
Added: February 23, 2020
Aleskerov F. T., Meshcheryakova N., Shvydun S., , in : Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics. Vol. 315.: Springer, 2020. P. 143-160.
We consider an application of long-range interaction centrality (LRIC) to the problem of the influence assessment in the global retail food network. Firstly, we reconstruct an initial graph into the graph of directed intensities based on individual node’s characteristics and possibility of the group influence. Secondly, we apply different models of the indirect influence estimation ...
Added: February 24, 2020
Shalileh S., Mirkin B., Plos One 2021 Vol. 16 No. 7 Article 0254377
We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightfor- wardly recovered from the underlying unknown non-overlapping communities, supplied with a center in the feature space and intensity weight(s) over the network each. Our least- squares additive criterion allows ...
Added: July 22, 2021
Kotlyarevskaya I. V., Knyazeva E. G., Yuzvovich L. I. et al., Integration of Education 2018 Vol. 22 No. 1 P. 8-24
Introduction: the networking as a development practice in business has not yet become widespread. Moreover, there are very few studies of network interactions in the field of science and education. Advances in marketing evaluation of network entities are very rare. The goal of this article is to develop methodological criteria for such an assessment. These ...
Added: October 31, 2019
Turobov A., Вестник Томского государственного университета. Философия. Социология. Политология 2022 № 65 С. 310-327
The study aims to analyze the network structure of trade relations in 38 countries and is based on data from the World Trade Organization. The popular concept of digitalization drives the focus of the study on technology trade. Comparative logic is implemented by analyzing networks for two time periods: 2013 and 2019. The analysis of ...
Added: April 11, 2022
Springer, 2016
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how ...
Added: September 21, 2016
NY : Springer, 2013
This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.
This volume contains many new results in modeling and powerful ...
Added: September 27, 2013
Мальков Ю. А., Ponomarenko A., Plos One 2016 Vol. 11 No. 6 P. 1-14
Navigability, an ability to find a logarithmically short path between elements using only local information, is one of the most fascinating properties of real-life networks. However, the exact mechanism responsible for the formation of navigation properties remained unknown. We show that navigability can be achieved by using only two ingredients present in the majority of ...
Added: September 9, 2016
Gradoselskaya G., Shcheglova T., , in : 2019 Twelfth International Conference "Management of large-scale system development" (MLSD). : M. : IEEE, 2019. P. 1-3.
Approaches to the investigation of events in the information space are mainly developed by mathematicians, who pay insufficient attention to the theoretical component of the problem. The article provides a rationale for the theoretical and methodological approach to the investigation of information processes from the point of view of social sciences. Two key concepts of ...
Added: December 2, 2019
Aleskerov F. T., Meshcheryakova N., Shvydun S., , in : Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics. Vol. 197.: Springer, 2017. P. 79-85.
We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset ...
Added: June 26, 2017
Sergey A. Korotaev, Elena N. Gasiukova, Changing Societies and Personalities 2023 Vol. 7 No. 4 P. 71-92
Occupation is a key factor in human thinking, feeling, and behavior. Theoretically derived occupational groupings or classes are typically used to transform occupations into a variable suitable for statistical manipulations. We argue that such groupings are unlikely to produce groups that are homogeneous across a broad set of attributes. Instead, we offer a data-driven approach to identify groups of occupations ...
Added: February 27, 2024
Shalileh S., Mirkin B., , in : Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. : Springer, 2021. P. 3-14.
The problem of community detection in a network with features at its nodes takes into account both the graph structure and node features. The goal is to find relatively dense groups of interconnected entities sharing some features in common. Algorithms based on probabilistic community models require the node features to be categorical. We use a ...
Added: January 13, 2021
Aleskerov F. T., Gavrilenkova I., Shvydun S. et al., Group Decision and Negotiation 2020 Vol. 29 No. 3 P. 399-424
Since 9/11, terrorism has become a global issue of the twenty-first century. Terrorist organizations become important actors of world politics as they gain influence on political process and decision-making. Some organizations compete with each other in order to gain more power and influence. We study the distribution of power among terrorist groups using network approach ...
Added: April 19, 2020
de Nooy W., Mrvar A., Batagelj V., Cambridge : Cambridge University Press, 2018
...
Added: November 1, 2018
Aleskerov F. T., Meshcheryakova N., Rezyapova A. et al., , in : Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics. Vol. 197.: Springer, 2017. P. 177-185.
Our study employs the network approach to the problem of international migration. During the last years, migration has attracted a lot of attention and has been examined from many points of view. However, very few studies considered it from the network perspective. The international migration can be represented as a network (or weighted directed graph) ...
Added: June 26, 2017
Chepovskiy A., Lakhno A., , in : The 2nd Workshop CUBIST-WS-12 Combining and Uniting Intelligence with Semantic Technologies. : Leuven : [б.и.], 2012. P. 1-9.
Semantic network reduction is considered in application to visual analytics of relational data. Merging structurally equivalent nodes it is straightforward to construct a reduced semantic network that completely species the initial structure of relations between nodes. This paper presents the analysis of such reduction applied to the communication network from Stanford Large Network Dataset Collection. ...
Added: February 1, 2013
Aachen : CEUR Workshop Proceedings, 2015
This volume contains proceedings of the fourth conference on Analysis of Images, Social Networks and Texts (AIST’2015)1 . The first three conferences in 2012–2014 attracted a significant number of students, researchers, academics and engineers working on interdisciplinary data analysis of images, texts, and social networks. The broad scope of AIST makes it an event where ...
Added: October 9, 2015
Kazun A. D., Kazun A., / Высшая школа экономики. Series PS "Political Science". 2017. No. WP BRP 48/PS/2017.
December 19, 2016, saw three tragedies simultaneously, that could not go unnoticed by the Russian media: dozens of people died as a result of a surrogate alcohol poisoning in Irkutsk, a Russian ambassador was killed in Turkey, and a terrorist attack took place at the Christmas market in Berlin. In this article using the network ...
Added: August 11, 2017
Saritas O., Miles I. D., Foresight 2012 Vol. 14 No. 6 P. 489-510
The current paper aims to present the Scan-4-Light study, which was conducted for the systematic scanning and analysis of the Searchlight newsletters as a rapidly growing collection of articles on trends and topics in development and poverty. Built upon the concept of the systemic foresight methodology, the Scan-4-Light approach involves the integrated use of horizon ...
Added: December 27, 2012