New research methods &amp; algorithms in social network analysis

Camacho, David; Luzón, M. Victoria; Wang, Zhaoxia

doi:10.1016/j.future.2020.08.006

Cited by 30 publications

(16 citation statements)

References 21 publications

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“…Students 'council of the Institute: chatting to prepare and organizing a Self-Government Day at the Institute, organizing virtual extracurricular events throughout the year [26]. Center for student initiatives: preparation in groups and participation in competitions and Olympiads using digital technologies, participation in a project group for the creation of social grants, the creation of commercial projects online [16,27]. Leisure and Creative center: online preparation for employment in children's camps, classes in creative circles using the Moodle system, online theater and participation in public speaking on stage [28].…”

Section: Extracurricular Activities Of the Pedagogical Institute Based On The Implementation Of Distance Technologiesmentioning

confidence: 99%

“…Diagnostic procedures for analyzing the level of formation of indicators of upbringing were carried out on the basis of analysis of data from respondents to Facebook and VKontakte social networks [26,27]. Preliminary monitoring prior to the study was carried out in September 2019.…”

Section: Measurement Instrumentmentioning

confidence: 99%

“…Monitoring was carried out based on the analysis of two diagnostic procedures. The first procedure included self-analysis by each study participant of their individual page to Facebook or VKontakte social networks [27,29]. The second diagnostic procedure included an expert comparative analysis of the data obtained for the first diagnosis and the analysis of data from the social network of each respondent using a special monitoring sheet [15,28].…”

Section: Measurement Instrumentmentioning

confidence: 99%

“…The presented research is actively involved in a wide discussion of the use of social networks in the implementation of the educational process of a pedagogical university [26,27]. Experts empirically substantiate the need to use social networks in certain areas of educational and extracurricular activities [28,30].…”

Section: Limitationsmentioning

confidence: 99%

See 3 more Smart Citations

Upbringing of Student Teachers in Extracurricular Activities in the Context of Distance Learning

Nagovitsyn

Valeeva

Osipov

et al. 2021

Int. J. Emerg. Technol. Learn.

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The introduction of distance technologies is necessary in the professional training of students, despite various assessments of its effectiveness. Hence the purpose of the study: to develop an upbringing system for students in a distance format and experimentally prove its impact on the main directions of upbringing of future teachers, in comparison with extracurricular activities in full-time mode. 156 undergraduate students took part in the experiment. Experimental research is the author's paradigm for the formation of youth upbringing in extracurricular activities, which includes six synergistically interrelated areas. The upbringing student system developed in the study was tested in two formats of implementation: in full-time format at the first stage of the study and in distance format in the second half of the study. The statistical data obtained during the study confirm the effectiveness of the implementation of extracurricular activities for the formation of the upbringing of future teachers only in full-time format. The introduction of distance technologies in the implementation of upbringing extracurricular activities does not have a positive effect on students, but in some areas has an opposite negative effect. The practical significance of the study is determined by the introduction of a self-analysis and monitoring system into the educational process through the use of Facebook and VKontakte social networks.

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Section: Extracurricular Activities Of the Pedagogical Institute Based On The Implementation Of Distance Technologiesmentioning

confidence: 99%

Section: Measurement Instrumentmentioning

confidence: 99%

Section: Measurement Instrumentmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Upbringing of Student Teachers in Extracurricular Activities in the Context of Distance Learning

Nagovitsyn

Valeeva

Osipov

et al. 2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

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“…Since the era of we-media, live video streaming has become one of the most appealing Internet products [1]. With the typical characteristics of 'watching and playing as you go', the content of live video streaming becomes more and more diverse and complex.…”

Section: Introductionmentioning

confidence: 99%

Crowd activity recognition in live video streaming via 3D‐ResNet and region graph convolution network

Kang

Zhang

2021

IET Image Processing

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Since the era of we-media, live video industry has shown an explosive growth trend. For large-scale live video streaming, especially those containing crowd events that may cause great social impact, how to identify and supervise the crowd activity in live video streaming effectively is of great value to push the healthy development of live video industry. The existing crowd activity recognition mainly uses visual information, rarely fully exploiting and utilizing the correlation or external knowledge between crowd content. Therefore, a crowd activity recognition method in live video streaming is proposed by 3D-ResNet and regional graph convolution network (ReGCN). (1) After extracting deep spatiotemporal features from live video streaming with 3D-ResNet, the region proposals are generated by region proposal network. (2) A weakly supervised ReGCN is constructed by making region proposals as graph nodes and their correlations as edges. (3) Crowd activity in live video streaming is recognised by combining the output of ReGCN, the deep spatiotemporal features and the crowd motion intensity as external knowledge. Four experiments are conducted on the public collective activity extended dataset and a real-world dataset BJUT-CAD. The competitive results demonstrate that our method can effectively recognise crowd activity in live video streaming.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A Comparative Assessment of Deep Learning Approaches for Opinion Mining

Solanki¹,

Shah²

2022

Advancements in Smart Computing and Information Security

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New research methods & algorithms in social network analysis

Cited by 30 publications

References 21 publications

Upbringing of Student Teachers in Extracurricular Activities in the Context of Distance Learning

Upbringing of Student Teachers in Extracurricular Activities in the Context of Distance Learning

Crowd activity recognition in live video streaming via 3D‐ResNet and region graph convolution network

A Comparative Assessment of Deep Learning Approaches for Opinion Mining

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