The structure of L2 lexical-semantic networks as seen from a social network perspective

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xuefang Feng ◽  
Jie Liu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Semantic Network ◽  
Semantic Networks ◽  
Analysis Tool ◽  
Semantic Fluency ◽  
Efl Learners ◽  
Lexical Semantic ◽  
Fluency Task

Abstract This study employed a social network analysis tool to investigate the organization of L2 lexical-semantic networks. A total of 49 Chines EFL learners of English completed a semantic fluency task in English. A lexical-semantic network was established on the data collected from the semantic fluency task. We conducted a CONCOR analysis to distinguish the central words from the peripheral ones in the lexical-semantic network. The relevance of three distributional features to the centrality of the words in the L2 lexical-semantic network was examined respectively. In addition, we analyzed the general explanatory effect of each of the three features on centrality. The results based on the distributional features are significantly correlational and report positive explanatory effects. In addition, words of similar distributional features were found to connect in a way that reflects semantic feature effects. Finally, theoretical, methodological, and pedagogical implications of the findings were discussed.

scholarly journals Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Rosseni Din ◽  
Mohamad Ally ◽  
Huseyin Dogan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Participation ◽  
Future Research ◽  
Analysis Tool ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Media Learning

<p class="BODYTEXT">Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance – making it a ubiquitous tool for social interaction. An emerging mode of learning is the mobile social media learning where social media is used in the mobile learning mode. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the study investigates roles of social participation in mobile social media learning using the “ladder of participation and mastering”. Participants were students taking an educational technology course in a local university. The study was conducted in a four-month period. Data was collected from discussions while learning among the students using one of the mobile social media platforms, Facebook groups. The data was analyzed using a social network analysis tool, NodeXL. Data was analyzed based on egocentric networks, betweeness centrality, and closeness centrality. The findings revealed that there are four roles of social participation in mobile social media, which are: (i) lurkers; (ii) gradually mastering members/passive members; (iii) recognized members; and (iv) coaches. The findings also indicated that over the course of four months, learners can inter-change roles of social participation – becoming more central or less central in learning discussions. As a result, a <em>roles of social participation</em> scale for mobile social media learning is proposed. Future research could be conducted in other fields to investigate whether mobile social media could be used to promote learning. </p>

scholarly journals Comparing the semantic networks of children with cochlear implants and children with typical hearing: Extending Kenett et al. (2013) by considering Hearing Age.

2021 ◽  
Author(s):  
Michaela Socher ◽  
ulrika löfkvist ◽  
Malin Wass
Keyword(s):  
Cochlear Implants ◽  
Semantic Network ◽  
Semantic Networks ◽  
Spoken Language ◽  
Chronological Age ◽  
Perceptual Quality ◽  
Semantic Fluency ◽  
Verbal Fluency Task ◽  
Significant Difference ◽  
Fluency Task

Purpose: Kenett et al. (2013) report that the sematic network of children with CI is less structured compared to the sematic network of children with TH. This study aims to evaluate if such differences are only evident if children with CI are compared to children with TH matched on chronological age, or also if they are compared to children with TH matched on hearing age. Method: The performance of a group of children with CI on a verbal fluency task was compared to the performance of a group of chronological-age matched children with TH. Subsequently, computational network analysis was used to compare the semantic network structure of the groups. The same procedure was applied to compare a group of children with CI to a group of hearing-age matched children with TH. Results: Children with CI performed significantly more poorly than children with TH matched on chronological age on a semantic fluency task and exhibited a significantly less structured semantic network. No significant difference in performance on a semantic fluency task was found between children with CI and children with TH matched on hearing-age. However, the structure of the semantic network differed significantly for the hearing age matched groups. Conclusions: Although the groups perform on the same level on a sematic fluency task, the semantic network for spoken language of children with CI is less structured compared to children with TH matched on hearing age. Reasons for this might be differences in the (perceptual) quality and the quantity of spoken language input.

scholarly journals Value of Goods During the Period of Russian Economic Transit Based on Barter Ads Analysis

2020 ◽  
Author(s):  
A. Smetanin ◽  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Semantic Networks ◽  
Consumer Perceptions ◽  
Economic Behavior ◽  
Soviet Period ◽  
Direct Exchange ◽  
Status Goods ◽  
Market Relations

The study proposes a method for modeling consumer perceptions of citizens during the late Soviet period and early 1990s based on newspaper ads for direct exchange of goods. The toolkit of social network analysis is used for modeling. To determine the range of status goods and the economic behavior features of citizens moving from the era of shortage to the era of market relations is possible thanks to created semantic networks.

scholarly journals Using Social Network Analysis to Strengthen Organizational Relationships to Better Serve Expectant and Parenting Young People

2020 ◽  
Vol 24 (S2) ◽  
pp. 232-242 ◽  
Author(s):  
Amanda Purington ◽  
Erica Stupp ◽  
Dora Welker ◽  
Jane Powers ◽  
Mousumi Banikya-Leaseburg
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Young People ◽  
Service Providers ◽  
Lessons Learned ◽  
Local Network ◽  
Analysis Tool ◽  
Survey Analysis ◽  
Young Parents

Abstract Introduction Expectant and parenting young people (young parents) need a range of supports but may have difficulty accessing existing resources. An optimally connected network of organizations can help young parents navigate access to available services. Community organizations participating in the Pathways to Success (Pathways) initiative sought to strengthen their network of support for young parents through social network analysis (SNA) undertaken within an action research framework. Method Evaluators and community partners utilized a survey and analysis tool to map and describe the local network of service providers offering resources to young parents. Respondents were asked to characterize their relationship with all other organizations in the network. Following survey analysis, all participants were invited to discuss and interpret the results and plan the next actions to improve the network on behalf of young parents. Results Scores described the diversity of organizations in the network, density of connections across the community, degree to which the network was centralized or decentralized, which organizations were central or outliers, frequency of contact, levels of collaboration, and levels of trust. Findings were interpreted with survey participants and used by Pathways staff for action planning to improve their network. Discussion SNA clarified complex relationships and set service providers on a path toward optimizing their network. The usefulness of SNA to impact and improve a network approach to supporting young parents is discussed, including lessons learned from this project.

scholarly journals El análisis reticular de coincidencias

2018 ◽  
Author(s):  
Modesto Escobar ◽  
Carlos Tejero
Keyword(s):  
Social Network ◽  
Statistical Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Structures ◽  
Semantic Networks ◽  
Free Software ◽  
Redes Sociales ◽  
Confidence Levels ◽  
New Framework

El propósito de este artículo es la propuesta de un nuevo marco para el estudio de las estructuras de datos basado en la combinación de diversos análisis multivariantes y de redes sociales. Mediante estas técnicas se obtienen qué sucesos son los más frecuentes en un conjunto de escenarios y con qué otros sucesos tienden a ocurrir. A este respecto pueden distinguirse diversos gradientes de coincidencias entre los sucesos estudiados, que van desde la nula coincidencia hasta la coincidencia total pasando por las coincidencias estadísticamente probables con nivel de confianza prefijado. La estructura de aparición del conjunto de los sucesos estudiados conforme al gradiente de coincidencia seleccionado puede ser convenientemente representada mediante un grafo. Además de sus fundamentos, se presentan tres programas gratuitos con los que cualquier usuario podría aplicarlo: coin, netcoin y webcoin. Este tipo de procedimiento puede ser aplicado al análisis exploratorio de cuestionarios, al estudio de redes semánticas, a la revisión de bases de datos e incluso a la comparación de distintas técnicas de análisis estadísticos de interdependencia, al hacer uso de métodos factoriales, clasificatorios y distintos modelos de representación de grafos basados en fuerzas de atracción-repulsión como los de Fruchterman-Reingold y Kamada-Kawai.The goal of this paper is the proposal of a new framework for the study of data structures based on the combination of several types of multivariate and social network analysis. By means of these techniques we obtain the most frequent events in a given set of scenarios as well as those events that tend to occur with them. In this respect we can define several coincidence gradients for the events under study. Ranging from zero to total coincidence and passing through statistically probable coincidences with predetermined confidence levels. The appearance structure of the set of events studied according to the selected coincidence gradient can be conveniently represented by a graph. In addition to its rationale, three free software programs are shown so that any user could apply this framework: coin, netcoin and webcoin. This type of procedure can be applied to the exploratory analysis of questionnaires, to the study of semantic networks, to the revision of databases and even to the comparison of different techniques of statistical analysis of interdependence. This is made posible by using factorial and classificatory methods and different methods for representing graphs based on attraction-repulsion forces, like those of Fruchterman-Reingold and Kamada-Kawai.

scholarly journals A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies

2018 ◽  
Vol 15 (11) ◽  
pp. 2420 ◽  
Author(s):  
José Benítez-Andrades ◽  
Alejandro Rodríguez-González ◽  
Carmen Benavides ◽  
Leticia Sánchez-Valdeón ◽  
Isaías García
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Alcohol Consumption ◽  
Data Gathering ◽  
Semantic Knowledge ◽  
Analysis Tool ◽  
Sensitivity Studies ◽  
Representation Techniques ◽  
Scenario Testing

Social Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships. This is usually done by completing a questionnaire containing different types of questions that will be later used to obtain the SNA measures needed to perform the study. There are, then, a great number of different possible network-generating questions and also many possibilities for mapping the responses to the corresponding characteristics and relationships. Many variations may be introduced into these questions (the way they are posed, the weights given to each of the responses, etc.) that may have an effect on the resulting networks. All these different variations are difficult to achieve manually, because the process is time-consuming and error-prone. The tool described in this paper uses semantic knowledge representation techniques in order to facilitate this kind of sensitivity studies. The base of the tool is a conceptual structure, called “ontology” that is able to represent the different concepts and their definitions. The tool is compared to other similar ones, and the advantages of the approach are highlighted, giving some particular examples from an ongoing SNA study about alcohol consumption habits in adolescents.

scholarly journals A Social Network Analysis Tool for Uncovering Cybersecurity Threats

2019 ◽  
Author(s):  
Vasileios Vlachos ◽  
Yannis C. Stamatiou ◽  
Pantelis Tzamalis ◽  
Sotiris Nikoletseas ◽  
Kyriaki Chantzi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Tool

scholarly journals Assessing Governments’ Emergency Responses to COVID-19 Outbreak Using a Social Network Analysis (SNA)

2020 ◽  
Author(s):  
Wignyo Adiyoso
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Task Force ◽  
Analysis Tool ◽  
Team Members ◽  
Cultural Aspects ◽  
Emergency Responses

<p>This study aims to assess organisational emergency responses to COVID-19 from a social network analysis (SNA) perspective. This is the first study to evaluate the government's emergency response to COVID-19.</p><p><br></p><p>Study design used content analyse focused on the Indonesia Taskforce Response to COVID-19. Taskforce members identified and analysed were 150 people. Data were obtained from a weekly Indonesian magazine, TEMPO, which reported on the government's response to COVID-19 from early March to early April 2020. Data analysis used a Social Network Analysis tool.</p><p><br></p><p>The study found that the emergency response to a COVID-19 consisted of less solid, non-traditional structural interactions, and that the head of the task force played a lesser role in the response to such an outbreak. The dynamic roles of actors and their relationships within the group reflect the weaknesses of the organisational emergency response to COVID-19. Cultural aspects, the overlapping of regulations and the lack of communication between central and local governments may have contributed to the lack of cohesion in the organisational response. The content analysis found that the issues of concern to the team members included coordination, hoax, social distancing and the lack of testing equipment. </p><p><br></p><p>The results of the study are expected to add literatures of research on emergency response to pandemics. This study can assist decision makers and practitioners to design and manage cooperation amongst actors and their networks in future emergency response systems.</p>

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