Assessing Cultural Differences in Translations: A Semantic Network Analysis of the Universal Declaration of Human Rights

Kwon, K. Hazel; Barnett, George A.; Chen, Hao

doi:10.1080/17513050902759488

Cited by 24 publications

(12 citation statements)

References 34 publications

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“…The analysis tests the null hypothesis that two networks are uncorrelated. By a permutation procedure, referred to as the quadratic assignment procedure, one can determine the distribution of all possible correlations given the structures of two matrices (Kwon et al 2009). Ordinal and categorical data can be tested without violating the distribution assumptions behind the procedure (Krackhardt and Porter 1986).…”

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confidence: 99%

Structural changes in the 2003–2009 global hyperlink network

2011

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In this study, we examined the structure of the international hyperlink network as a global communication system at two different points in time (2003 and 2009). Research was carried out on the web‐based network linking country code top‐level domains (ccTLDs) that represent countries, using hyperlink connectivity by the means of network analysis. The results indicate that the 2009 international hyperlink network was completely interconnected. G7 countries and Spain were at the centre of the network. At the periphery were poorer countries from Africa, Asia, and Latin America. In addition, several regional clusters based on geography, language and culture emerged. A comparison of the 2003 and 2009 results showed that the level of centralization and diversification among semi‐peripheral countries increased. We discuss the results from the perspective of world‐systems theory. We propose methodological procedures to overcome potential bias in international hyperlink data.

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Section: Figurementioning

confidence: 99%

Structural changes in the 2003–2009 global hyperlink network

2011

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“…Since the early 1990s, network analysis of text data has become a widely used method in various academic fields including sociology (Carley, 1993), political science (Maynard, 1997;Kim, Su, & Hong, 2011), information science (Popping, 2003;Diesner and Carley, 2004;Doerfel and Connaughton, 2009), computer science (Diesner, 2012), communications (Rice and Danowski, 1993;Jang and Barnett, 1994;Doerfel, 1998;Doerfel and Barnett, 1999;Kwon et al, 2009;Doerfel and Marsh, 2003;van Atteveldt et al, 2008), conflict management (Young, 1996), poetics (Carley, 1994), and linguistics (Smith, 2003;Smith and Humphreys, 2006). As a result, many different theories and methods have been developed for text-based network analysis and there is no single agreed method and designation of the analysis in the literature (Doerfel, 1998;Diesner, 2012).…”

Section: Semantic Network Analysis As a Methods For Frame Analysismentioning

confidence: 99%

“…First, concept networks, often called semantic networks, can be extracted (Sowa, 1984;Rice &Danowski, 1993;Jang and Barnett, 1994;Carley, 1997aCarley, , 1997bDoerfel and Barnett, 1999;Popping, 2000Popping, , 2003Smith, 2003;Smith and Humphreys, 2006;Doerfel & Marsh, 2003;Doerfel and Connaughton, 2009;Kwon et al, 2009;Carley et al, 2011). In these networks, nodes (i.e., concepts) represent salient information from a body of text and concepts (i.e., words) are "abstract representation of the information that people conceive in their minds" (Diesner, 2012: 5).…”

Section: Semantic Network Analysis As a Methods For Frame Analysismentioning

confidence: 99%

“…While traditional text analysis (i.e., content analysis) relies on measuring frequencies in order to find the most prominent concepts (Krippendorff, 2004), semantic network analysis can identify structural properties through recognition of relations between concepts (i.e., co-occurrence) by applying network analysis techniques. Through utilization of semantic network analysis, this study explores diverse structural properties such as bridging between concepts and sub-structures of the text, the interrelations of terms, and the most frequently mentioned concepts (Jang and Barnett, 1994;Carley, 1997aCarley, , 1997bDiesner andCarley, 2004, 2005;Kwon, 2009;Doerfel and Connaughton, 2009). …”

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“…In contrast to the local hub, this concept does not have much influence on adjacent concepts, but many other concepts in various communities could connect together only via this concept. Fourth, concepts that are comparatively low in both categories of centrality are regarded as modeling as a more advance version of MDS (Kwon et al, 2009) can be used for determining relations among concepts and grouping them through statistical analyses.…”

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confidence: 99%

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Identifying policy frames through semantic network analysis: an examination of nuclear energy policy across six countries

2015

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This study uses semantic network analysis to investigate nuclear energy policy frames in six countries: USA, UK, Germany, France, Japan, and South Korea. It is suggested that semantic network analysis represents a useful tool to investigate policy frames in complex policy environments. The discourse of top-level decision makers is analyzed to highlight similarities and differences in policy frames and to identify the key policy arguments in the integrated network of all six countries. In total, 14 major policy arguments are identified, which relate to the three major frames of energy security, clean energy, and nuclear safety, along with the metaissue of economic growth. There are differences in the degree of emphasis on each of the frames in the six countries, and Germany can be seen to have diverged the most following the Fukushima accident, as the emphasis is on clean energy, to the exclusion of the other frames. In contrast, both the USA and Japan have framed the issues primarily in terms of nuclear safety and energy security, while the UK and France have stressed the economic growth frame, and Korea has prioritized nuclear safety.

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