725 research outputs found
A Comparison between Political Claims Analysis and Discourse Network Analysis: The Case of Software Patents in the European Union
The study of policy discourse comprises actor-centered and content-oriented approaches. We attempt to close the gap between the two kinds of approaches by introducing a new methodology for the analysis of political discourse called Discourse Network Analysis. It is based on social network analysis and qualitative content analysis and takes an entirely relational perspective. Political discourse can be analyzed in a dynamic way, and the approach makes previously unobservable cleavage lines and alignments measurable at the actor level, at the level of the contents of a discourse, and a combined layer. We compare discourse network analysis with political claims analysis, a competing method, and apply both methods to the European-level discourse on software patents. Our results demonstrate how an anti-softwarepatent coalition was mobilized and how it gained control over important frames, while the well-organized pro-software-patent discourse coalition was not able to gain sovereignty over the discourse.Software Patents, Intellectual Property Rights, Discourse Network Analysis, Social Network Analysis, Political Discourse, Policy Networks, Public Policy Analysis, Social Movements, Political Claims Analysis
Can Intellectual Processes in the Sciences Also Be Simulated? The Anticipation and Visualization of Possible Future States
Socio-cognitive action reproduces and changes both social and cognitive
structures. The analytical distinction between these dimensions of structure
provides us with richer models of scientific development. In this study, I
assume that (i) social structures organize expectations into belief structures
that can be attributed to individuals and communities; (ii) expectations are
specified in scholarly literature; and (iii) intellectually the sciences
(disciplines, specialties) tend to self-organize as systems of rationalized
expectations. Whereas social organizations remain localized, academic writings
can circulate, and expectations can be stabilized and globalized using
symbolically generalized codes of communication. The intellectual
restructuring, however, remains latent as a second-order dynamics that can be
accessed by participants only reflexively. Yet, the emerging "horizons of
meaning" provide feedback to the historically developing organizations by
constraining the possible future states as boundary conditions. I propose to
model these possible future states using incursive and hyper-incursive
equations from the computation of anticipatory systems. Simulations of these
equations enable us to visualize the couplings among the historical--i.e.,
recursive--progression of social structures along trajectories, the
evolutionary--i.e., hyper-incursive--development of systems of expectations at
the regime level, and the incursive instantiations of expectations in actions,
organizations, and texts.Comment: accepted for publication in Scientometrics (June 2015
Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice
[Abstract]
The intrinsic characteristics of humanities research require technological support and software assistance that also necessarily goes through the analysis of textual narratives. When these narratives become increasingly complex, pragmatics analysis (i.e., at discourse or argumentation levels) assisted by software is a great ally in the digital humanities. In recent years, solutions have been developed from the information visualization domain to support discourse analysis or argumentation analysis of textual sources via software, with applications in political speeches, debates, online forums, but also in written narratives, literature or historical sources. This paper presents a wide and interdisciplinary systematic literature review (SLR), both in software-related areas and humanities areas, on the information visualization and the software solutions adopted to support pragmatics textual analysis. As a result of this review, this paper detects weaknesses in existing works on the field, especially related to solutions’ availability, pragmatic framework dependence and lack of information sharing and reuse software mechanisms. The paper also provides some software guidelines for improving the detected weaknesses, exemplifying some guidelines in practice through their implementation in a new web tool, Viscourse. Viscourse is conceived as a complementary tool to assist textual analysis and to facilitate the reuse of informational pieces from discourse and argumentation text analysis tasks.Ministerio de Economía, Industria y Competitividad; FJCI-2016-6 28032Ministerio de Ciencia, Innovación y Universidades; RTI2018-093336-B-C2
Дискурсивный сетевой анализ: дискурсивно-динамический аспект исследования публичной политики
Объектом анализа статьи является концепт дискурсивного сетевого анализа, предложенный британским политологом Филипом Лейфелдом, и, прежде всего, его сущностные характеристики, позволяющие оценить объяснительный потенциал такого концепта, представляющего собой комбинацию качественного контент-анализа и количественного сетевого анализ
A Regularized Graph Layout Framework for Dynamic Network Visualization
Many real-world networks, including social and information networks, are
dynamic structures that evolve over time. Such dynamic networks are typically
visualized using a sequence of static graph layouts. In addition to providing a
visual representation of the network structure at each time step, the sequence
should preserve the mental map between layouts of consecutive time steps to
allow a human to interpret the temporal evolution of the network. In this
paper, we propose a framework for dynamic network visualization in the on-line
setting where only present and past graph snapshots are available to create the
present layout. The proposed framework creates regularized graph layouts by
augmenting the cost function of a static graph layout algorithm with a grouping
penalty, which discourages nodes from deviating too far from other nodes
belonging to the same group, and a temporal penalty, which discourages large
node movements between consecutive time steps. The penalties increase the
stability of the layout sequence, thus preserving the mental map. We introduce
two dynamic layout algorithms within the proposed framework, namely dynamic
multidimensional scaling (DMDS) and dynamic graph Laplacian layout (DGLL). We
apply these algorithms on several data sets to illustrate the importance of
both grouping and temporal regularization for producing interpretable
visualizations of dynamic networks.Comment: To appear in Data Mining and Knowledge Discovery, supporting material
(animations and MATLAB toolbox) available at
http://tbayes.eecs.umich.edu/xukevin/visualization_dmkd_201
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