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Eesponda, Fernando; Vera-Cruz, Matías; Tarrasó, Jorge; Morales, Marco

doi:10.1002/cplx.v16:1

Cited by 5 publications

(4 citation statements)

References 248 publications

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“…See tables S1-S3 in SI (section 2, available from stacks.iop.org/NJP/14/043029/mmedia) for the details of the books. The texts were represented with complex networks [8][9][10][11][23][24][25][26][27][28][29], in which the edges are defined on the basis of cooccurrence of words (see section 2). The latter procedure has been proven to be suitable for quantifying both the style and structure of texts (see, e.g.…”

Section: The Databasementioning

confidence: 99%

Identification of literary movements using complex networks to represent texts

2012

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The use of statistical methods to analyze large databases of text has been useful in unveiling patterns of human behavior and establishing historical links between cultures and languages. In this study, we identified literary movements by treating books published from 1590 to 1922 as complex networks, whose metrics were analyzed with multivariate techniques to generate six clusters of books. The latter correspond to time periods coinciding with relevant literary movements over the last five centuries. The most important factor contributing to the distinctions between different literary styles was the average shortest path length, in particular the asymmetry of its distribution. Furthermore, over time there has emerged a trend toward larger average shortest path lengths, which is correlated with increased syntactic complexity, and a more uniform use of the words reflected in a smaller power-law coefficient for the distribution of word frequency. Changes in literary style were also found to be driven by opposition to earlier writing styles, as revealed by the analysis performed with geometrical concepts. The approaches adopted here are generic and may be extended to analyze a number of features of languages and cultures.

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Section: The Databasementioning

confidence: 99%

Identification of literary movements using complex networks to represent texts

2012

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“…In recent years, physicists have proposed new approaches based on concepts from complex networks [2][3][4][5][6][7][8][9][10][11][12][13][14][15] and dynamical systems [16][17][18][19][20]. In the former, text is represented as complex networks with words (nodes) being connected (links) using procedures depending on their syntactic or semantic relationships [2].…”

Section: Introductionmentioning

confidence: 99%

Comparing intermittency and network measurements of words and their dependence on authorship

et al. 2011

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Abstract. Many features of texts and languages can now be inferred from statistical analyses using concepts from complex networks and dynamical systems. In this paper, we quantify how topological properties of word cooccurrence networks and intermittency (or burstiness) in word distribution depend on the style of authors. Our database contains 40 books by eight authors who lived in the nineteenth and twentieth centuries, for which the following network measurements were obtained: the clustering coefficient, average shortest path lengths and betweenness. We found that the two factors with stronger dependence on authors were skewness in the distribution of word intermittency and the average shortest paths. Other factors such as betweenness and Zipf's law exponent show only weak dependence on authorship. Also assessed was the contribution from each measurement to authorship recognition using three machine learning methods. The best performance was about 65% accuracy upon combining complex networks and intermittency features with the nearestneighbor algorithm of automatic authorship. From a detailed analysis of the interdependence of the various metrics, it is concluded that the methods used here are complementary for providing short-and long-scale perspectives on texts, which are useful for applications such as the identification of topical words and information retrieval.

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“…In order to present this combination of elements and reveal their organization, Flament (1981) developed the matrix tree which graphically displays the hierarchy and the links among pairs of elements. Such a matrix tree consists of nodes, or circles, which represent entities, and lines, drawn between the nodes to indicate a connection between them (Solé, Corominas-Murtra, Valverde, & Steels, 2010;Wiles et al, 2010). Since the size of the nodes is based on frequency, the matrix tree illustrates the most central categories.…”

Section: Word Association Methodsmentioning

confidence: 99%

“…By applying the software Iramutec (Ratinaud, 2009), which is an r-based interface designed to identify structure and hierarchy of the SR, an in-depth analysis was carried out (Abric, 2001;Alves-Mazzotti, 2011). By defining the categories as circles and the co-occurrence relationships as lines, word networks for analyzing structure properties of social representation were revealed (Solé et al, 2010;Wiles et al, 2010) The thickness of the lines was in proportion to the number of co-occurrences and the size of the circles was in proportion to the number of mentions but only to a certain degree, the largest circle was 10 times bigger than the smallest one which supplied the proportional borders for the rest of the circles. By considering the frequency of appearance in relation to the co-occurrence of categories displayed in matrix trees, we gained insight into the most prominent elements of the social representation.…”

Section: Word Association Methodsmentioning

confidence: 99%

The role of experience in teachers’ social representation of students with autism spectrum diagnosis (Asperger)

et al. 2015

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Support from teachers is a key strategy for accommodating students with Asperger syndrome (AS) diagnosis in the mainstream classroom. Teachers' understanding and expectations of students, i.e. their social representations (SR), have a bearing on how they interact and accommodate, but little is known about why. Therefore, the current study examined the idea that teachers' SR of these students are influenced by their previous experience with AS. To this end, Swedish mainstream teachers were invited to anonymously answer a web-based questionnaire (N = 153). An association task was used to obtain data on teachers' SR and the content and structure of the SR were explored. Our results suggest that work-related experience of AS and/or private experience shape teachers' SR of these students relative to teachers with no experience. Moreover, teachers with previous experience had more SR elements related to environment and learning factors while teachers without previous experience had more elements related to the individual's behavior. Teachers with private experience produced fewer positive elements compared to those with work-related experience only. These results highlight the role of contextual factors and prior experience in forming SR. We conclude that contact with students with AS, e.g. during teacher training, could facilitate accommodation in mainstream schools.

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Untitled

Cited by 5 publications

References 248 publications

Identification of literary movements using complex networks to represent texts

Identification of literary movements using complex networks to represent texts

Comparing intermittency and network measurements of words and their dependence on authorship

The role of experience in teachers’ social representation of students with autism spectrum diagnosis (Asperger)

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