Discovering and tracking query oriented active online social groups in dynamic information network

Anwar, Musfique; Liu, Chengfei; Li, Jianxin

doi:10.1007/s11280-018-0627-5

Cited by 21 publications

(14 citation statements)

References 41 publications

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“…In the digital era, online social networks have become a central node through which individuals connect and interact with other people [3], by sharing, viewing, or commenting on ideas and content posted by other users [4,5]. The use of social media has exponentially escalated since the late 1990s.…”

Section: Introductionmentioning

confidence: 99%

A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People

Aparicio-Martínez

Perea-Moreno

Martínez-Jiménez

et al. 2019

IJERPH

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Social networks have historically been used to share information and support regarding health-related topics, and this usage has increased with the rise of online social media. Young people are high users of social media, both as passive listeners and as active contributors. This study aimed to map the trends in publications focused on social networks, health, and young people over the last 40 years. Scopus and the program VOSviewer were used to map the frequency of the publications, keywords, and clusters of researchers active in the field internationally. A structured keyword search using the Scopus database yielded 11,966 publications. The results reveal a long history of research on social networks, health, and young people. Research articles were the most common type of publication (68%), most of which described quantitative studies (82%). The main discipline represented in this literature was medicine, with 6062 documents. North American researchers dominate the field, both as authors and partners in international research collaborations. The present article adds to the literature by elucidating the growing importance of social networks in health research as a topic of study. This may help to inform future investments in public health research and surveillance using these novel data sources.

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Section: Introductionmentioning

confidence: 99%

A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People

Aparicio-Martínez

Perea-Moreno

Martínez-Jiménez

et al. 2019

IJERPH

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“…There are three parameters for evaluating object detection performance, including accuracy, loss, and detection rate [23][24][25][26]. Specifically, the parameter mAP is the average classification accuracy of the seven objects, and its value is between 0 and 1.…”

Section: Results and Analysismentioning

confidence: 99%

A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles

Meng

Song

et al. 2019

Complexity

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Nowadays, automatic multi-objective detection remains a challenging problem for autonomous vehicle technologies. In the past decades, deep learning has been demonstrated successful for multi-objective detection, such as the Single Shot Multibox Detector (SSD) model. The current trend is to train the deep Convolutional Neural Networks (CNNs) with online autonomous vehicle datasets. However, network performance usually degrades when small objects are detected. Moreover, the existing autonomous vehicle datasets could not meet the need for domestic traffic environment. To improve the detection performance of small objects and ensure the validity of the dataset, we propose a new method. Specifically, the original images are divided into blocks as input to a VGG-16 network which add the feature map fusion after CNNs. Moreover, the image pyramid is built to project all the blocks detection results at the original objects size as much as possible. In addition to improving the detection method, a new autonomous driving vehicle dataset is created, in which the object categories and labelling criteria are defined, and a data augmentation method is proposed. The experimental results on the new datasets show that the performance of the proposed method is greatly improved, especially for small objects detection in large image. Moreover, the proposed method is adaptive to complex climatic conditions and contributes a lot for autonomous vehicle perception and planning.

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“…Information and communication technologies (ICTs) have taken more than thirtyyears [1] to be included and integrated into the daily life of individuals [2]. These technologies have achieved unprecedented inclusion and utilization, spreading to all fields in society [3][4][5]. The mass production and availability of ICTs have provoked modifications in social structures, from people's social networking to the educational systems [3,6].…”

Section: Introductionmentioning

confidence: 99%

“…The educational field has experienced a significant variation with the inclusion of ICTs, applying a wide range of tools, from drones, for the explanation of theoretical ideas [7,8], to virtual learning environments and virtual realities [9][10][11][12]. These tools and multidisciplinary structures have given more flexibility, adaptability, and dynamics to the education system [4,13,14]. The educational structures tend to include ICTs with a higher compliance capacity, accessibility, and end-user attractiveness.…”

Section: Introductionmentioning

confidence: 99%

The Higher Education Sustainability before and during the COVID-19 Pandemic: A Spanish and Ecuadorian Case

et al. 2021

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Information and communication technologies (ICTs) are key to create sustainable higher education institutions (HEIs). Most researchers focused on the students’ perspective, especially during the online teaching caused by COVID-19; however, university teachers are often forgotten, having their opinion missing. This study’s objective was to determine the factors that contribute to the inclusion of ICTs. The research based on a comparative study through an online qualitative survey focused on the inclusion and use of ICTs in two HEIs and two different moments (pre-and post-lockdowns). There were differences regarding country and working experience (p < 0.001), being linked to the ICTs use, evaluation of obstacles, and the role given to ICTs (p < 0.05). The COVID-19 caused modifications of the teachers’ perspectives, including an improvement of the opinion of older teachers regarding the essentialness of ICTs in the teaching process (p < 0.001) and worsening their perception about their ICTs skill (p < 0.05). Additionally, an initial model focused only on the university teachers and their use of ICTs has been proposed. In conclusion, the less experienced university teachers used more ICTs, identified more greatly the problematic factors, and considered more important the ICTs, with the perception of all teachers modified by COVID-19.

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Discovering and tracking query oriented active online social groups in dynamic information network

Cited by 21 publications

References 41 publications

A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People

A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People

A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles

The Higher Education Sustainability before and during the COVID-19 Pandemic: A Spanish and Ecuadorian Case

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