Semantic Centrality Research Articles

자폐성 장애 자녀를 둔 양육자의 인식 및 특성 분석

This study aimed to analyze the social perceptions of linked autism disabilities and characteristics of parents of young children with autism disabilities in South Korea by web crawling social media and performing text mining. From January 2020 to June 2023, a total of 1,526 posts were collected from social media platforms, and examined to identify the main topics that directed the flow of information. The results were as follows. In the first frequency analysis, “speech,” “ㅠㅠ,” “language,” “treatment,” and “test” had the highest frequency. In network analysis, “mother,” “thinking” and “be bad” showed high connectivity in semantic centrality, and “be bad,” “teacher,” and “children” in mediating centrality. The CONCOR analysis was classified into a total of four clusters related to families, diagnosis, intervention, and perception. Based on the above research results, the implications and limitations of the study were discussed.

ГРАФОСФЕРА В МІСЬКОМУ ПРОСТОРІ РАННЬОГО МОДЕРНУ (XV–XVIIІ СТОЛІТТЯ) У ВИМІРІ "КУЛЬТУРНОЇ ІСТОРІЇ" АНТОНІО КАСТІЛЬЙО ГОМЕСА

The article explains the fundamental concepts of the graphosphere, shedding light on the organization of written communication within urban spaces during the early Modern period (15th to 18th centuries). The elucidation of these basic concepts is approached through the lens of various oppositions, such as "center-periphery" (N. Luhmann), "great-little tradition" (R. Redfield, M. Singer), "independent-subservient architecture" (G. Hegel), and "space of representations-representational spaces" (H. Lefebvre). The specificity of these cultural-historical approaches is revealed through the theoretical and empirical dimensions of studying the graphosphere, which involves differentiating between signifiers and signifieds. Therefore, examining written communication in early modern cities (15th to 18th centuries) clarifies the significance of material culture as a central theme in cultural history. This exploration goes beyond the narrow definition of textual materiality and encompasses examining the locations and methods of publication. This broader perspective expands how this topic can be conceptualized and provides an empirical foundation. Written communication practices not only influence the semantic centrality of space (although it remains closely connected to urban space) but also contribute to the transformation of textual materiality and the differentiation between public place and public space. In the early Modern period, written communication, while still connected to urban walls, gained a greater potential for re-signifying public space. This led to its appropriation through graphic colonization and illegal acts (which both indicate the democratic nature of cultural changes and increase the potential for communication conflicts). The autonomization of signifiers order establishes the superiority of representational spaces over the space of representations. The "paper wars" can be seen as the first historical form of information warfare and the beginnings of a "great tradition" of colonizing public space without physical occupation, which became a prerequisite for territorial occupation

Digital nomads, coworking, and other expressions of mobile work on Twitter

We analyze a set of Twitter hashtags to ascertain how contemporary parlance in social media can illuminate the rich cultural intersections between modern forms of work, use of technology, and physical mobility. We use network word co-occurrence analysis and topic modeling to reveal several thematic areas of discourse present in Twitter, each with its own affiliated terms and distinctive emphases. The first theme centers on worker identity and is currently dominated by the experiences of digital nomads. The second theme focuses on the practicalities of working in a physical location and is currently dominated by issues related to co-working spaces. Finally, the third theme is a loose and speculative set of ideas around the evolution of work in the future, predicting how enterprises may have to adapt to new ways of working. Our contribution is twofold. First, we contribute to scholarship on social media methods by showing how a robust analysis of Twitter data can help scholars find subthematic nuance within a complex discussion space by identifying the existence and boundaries of topical sub-themes. Second, we contribute to scholarship on the future of work by providing empirical evidence for the ways that the myriad terms related to mobility and work relate to one another and, most importantly, how these relations signal semantic centrality among those who share their thoughts on these types of work.

Centrality as a Method for the Evaluation of Semantic Resources for Disaster Risk Reduction

Clear and straightforward communication is a key aspect of all human activities related to crisis management. Since crisis management activities involve professionals from various disciplines using different terminology, clear and straightforward communication is difficult to achieve. Semantics as a broad science can help to overcome communication difficulties. This research focuses on the evaluation of available semantic resources including ontologies, thesauri, and controlled vocabularies for disaster risk reduction as part of crisis management. The main idea of the study is that the most appropriate source of broadly understandable terminology is such a semantic resource, which is accepted by—or at least connected to the majority of other resources. Important is not only the number of interconnected resources, but also the concrete position of the resource in the complex network of Linked Data resources. Although this is usually done by user experience, objective methods of resource semantic centrality can be applied. This can be described by centrality methods used mainly in graph theory. This article describes the calculation of four types of centrality methods (Outdegree, Indegree, Closeness, and Betweenness) applied to 160 geographic concepts published as Linked Data and related to disaster risk reduction. Centralities were calculated for graph structures containing particular semantic resources as nodes and identity links as edges. The results show that (with some discussed exceptions) the datasets with high values of centrality serve as important information resources, but they also include more concepts from preselected 160 geographic concepts. Therefore, they could be considered as the most suitable resources of terminology to make communication in the domain easier. The main research goal is to automate the semantic resources evaluation and to apply a well-known theoretical method (centrality) to the semantic issues of Linked Data. It is necessary to mention the limits of this study: the number of tested concepts and the fact that centralities represents just one view on evaluation of semantic resources.

Query Transformation Based on Semantic Centrality in Semantic Social Network1

Query Transformation Based on Semantic Centrality in Semantic Social Network1

The meaning of party labels

To determine the meaning(s) of the concepts “Republican,” “Democrat,” and “Independent,” the most frequently cited attributes of each party label were scaled in terms of their semantic centrality. An analysis of the magnitude scale values demonstrates that the labels “Republican” and “Democrat” have unique cognitive properties which easily discriminate one label from another. The most characteristic and discriminating properties refer to (1) voting, (2) electioneering, and (3) other forms of electoral behavior. Although these two labels have many strong properties over which there is considerable agreement, such consensus is lacking for the fewer and weaker properties which characterize and discriminate the label “Independent.” Whereas “Republican” and “Democrat” are sharply delineated, semantic inversions of one another, the concept “Independent” is ambiguously defined and only weakly distinguishable from other concepts.