Social Networking Applications Research Articles

Community development in Chinese commodity housing estates through civic action

In contrast to the ‘community lost’ argument describing the changing local social order in urban China, an increasing amount of local civic action is occurring in newly built Chinese commodity housing estates through the application of local social networks and capital, enabling the development of local community life. On the basis of the key themes underlying local civic action, in this study we develop a theoretical framework linking the application and development of local social networks and capital through multiple civic action steps by applying a dichotomised definition of social networks and considering the involvement of multiple stakeholders within China’s institutions. In a case study of a newly built Chinese commodity housing estate, we used interviews and questionnaires to identify social changes in the neighbourhood inspired by civic action that promotes place attachment, mutual trust and civic responsibility. The development of local community life is created in a heterogeneous neighbourhood, and the influence of civic action on the local social order is reflected within the Chinese context.

Measurement of Benefits, Reasons, and Barriers to Students’ Adoption of Electronic Applications

Over the past decade, electronic applications, particularly social networking applications (SNAs), have been gaining considerable popularity, including among educated young people. The advantages of SNAs are apparent in many sectors, with education being no exception. SNAs are also playing the main role in enhancing the quality of education. The aim of this paper is to explore SNAs use (e.g., Twitter, Facebook, and YouTube) in higher education students enrolled at Albaha University, Saudi Arabia, focusing on their associated advantages, barriers, and reasons for adoption, as well as differences between the participants with respect to the study variables. The research methodology was a survey approach and the sample size reached 243 students, including 123 males and 120 females. The survey was distributed to students electronically. The results indicate that most students benefit from SNAs, and these resources motivate them to engage with SNAs to enhance their education. Barriers were also identified that must be addressed for effective education. No difference was found between male and female students in terms of benefiting from SNAs, as well as the reasons and barriers, thereby indicating the availability of SNAs for both genders and the flexibility of their use at any time and place, as well as awareness in both genders about their use. A noticeable difference was identified in the extent of the benefits derived from SNAs between participants older and younger than 20 years, and differences were also found in the reasons underpinning these benefits. This reflects a disparity in the use and mastery of SNAs between the two age groups. Students aged 20-25 years also encountered greater barriers to SNAs use compared to students aged younger than 20 years, which may be attributed to the lower familiarity of older students with SNAs.

Ankle sprain among male amateur soccer players in the eastern province of Saudi Arabia: its prevalence and risk factors

Objective: This study aimed to investigate the prevalence of ankle sprain injuries in the Eastern province of Saudi Arabia along with the identification of its associated risk factors. Methods: A cross-sectional study was conducted among male amateur soccer players in the Eastern province of Saudi Arabia with a sample size of 385. The questionnaire was distributed electronically via social networking applications and finally, the questionnaires were collected using Google forms. Results: A total of 341 male amateur soccer players were included. Participants' age ranged from 21 to 55 years with a mean age of 26.9 ± 13.8 years old. A total of 265 (77.7%) study players previously had ankle injury which was for only one time among 31.7% and two times among 24.2% during the last 12 months. Playground nature, duration of playing, and frequency of gaming per week were significantly associated with higher incidence of ankle sprain. Conclusion: The study revealed that nearly three out of each four amateur male players experienced at least one attack of ankle sprain especially old-aged players and who use sand playgrounds.

A REVIEW ARTICLE: USE OF SENTIMENT ANALYSIS IN SOCIAL MEDIA

As a result of the growth of online social networking platforms and applications, a sizeable amount of user-generated text content is created daily in the form of comments, reviews, and short text messages. Users can write messages, share them, and add images and videos to social networking sites like Twitter, Facebook, and others. Consequently, a significant volume of sentiment-rich data is generated. Sentiment analysis then comes into play in this scenario, which evaluates opinions as positive, neutral, or negative by extracting, recognizing, or representing them from various sources, including social media, news, articles, and blogs. This study aims to analyze the results from different sentiment analysis models and technologies that combine natural language processing. Case studies of various industries that can benefit or have been benefiting from sentiment analysis are also discussed to provide an approachable pathway for anyone who wishes to go more deeply into this field. For example, the business world has used it to learn what customers think of a certain company or brand. The impact of profanity on how readers interpret tweets and other social media messages are studied in sociology and psychology. Political scientists are trying to anticipate election results based on tweets to evaluate answers, among other things, and to look for trends, ideological bias, and opinions. Researchers have previously evaluated numerous models using well-known techniques like Naive Bayes, support vector machines, etc., and the findings have been compared with promising outcomes.

A Hadoop Based Approach for Community Detection on Social Networks Using Leader Nodes

Community detection is the most common and growing area of interest in social and real-time network applications. In recent years, several community detection methods have been developed. Particularly, community detection in Local expansion methods have been proved as effective and efficiently. However, there are some fundamental issues to uncover the overlapping communities. The maximum methods are sensitive to enable the seeds initialization and construct the parameters, while others are insufficient to establish the pervasive overlaps. In this paper, we proposed the new unsupervised Map Reduce based local expansion method for uncovering overlapping communities depends seed nodes. The goal of the proposed method is to locate the leader nodes (seed nodes) of communities with the basic graph measures such as degree, betweenness and closeness centralities and then derive the communities based on the leader nodes. We proposed Map-Reduce based Fuzzy C- Means Clustering Algorithm to derive the overlapping communities based on leader nodes. We tested our proposed method Leader based Community Detection (LBCD) on the real-world data sets of totals of 11 and the experimental results shows the more effective and optimistic in terms of network graph enabled overlapping community structures evaluation.

A Hadoop Based Approach for Community Detection on Social Networks Using Leader Nodes

Community detection is the most common and growing area of interest in social and real-time network applications. In recent years, several community detection methods have been developed. Particularly, community detection in Local expansion methods have been proved as effective and efficiently. However, there are some fundamental issues to uncover the overlapping communities. The maximum methods are sensitive to enable the seeds initialization and construct the parameters, while others are insufficient to establish the pervasive overlaps. In this paper, we proposed the new unsupervised Map Reduce based local expansion method for uncovering overlapping communities depends seed nodes. The goal of the proposed method is to locate the leader nodes (seed nodes) of communities with the basic graph measures such as degree, betweenness and closeness centralities and then derive the communities based on the leader nodes. We proposed Map-Reduce based Fuzzy C- Means Clustering Algorithm to derive the overlapping communities based on leader nodes. We tested our proposed method Leader based Community Detection (LBCD) on the real-world data sets of totals of 11 and the experimental results shows the more effective and optimistic in terms of network graph enabled overlapping community structures evaluation.

Patient experience, overall satisfaction, and its associated factors after general emergency surgery

Background: The level of patient satisfaction is an essential health outcome used to determine the quality of care provided. Unfortunately, studies need to be more comprehensive regarding patient satisfaction and its associated factors after general emergency surgery in Saudi Arabia. Therefore, this study aims to measure the level of patient satisfaction after general emergency surgery and determine the factors that influence it. Methods: A cross-sectional study was conducted among patients who underwent general emergency surgery in the Qassim region from June to July 2022 after applying inclusion and exclusion criteria. A validated online Arabic Patient-Reported Experience Measures questionnaire was distributed through multiple social networking applications. Bivariable and multivariable logistic analyses determine the variables linked to satisfaction with the care provided and assess patient experience, overall satisfaction, and its associated factors after general emergency surgery. p = 0.05 with a 95% CI was considered as the statistical significance level. Results: Patient satisfaction with the general emergency surgery was high. Confidence and trust in doctors and nurses responsible for the care, the absence of nighttime noise from staff and other patients, the perception of sufficient privacy for both clinical discussions and examinations, explanation of the purpose of discharge medication and how to take it, and information are given for whom to contact if concerned, were associated with significantly high patient satisfaction and good experience. Conclusion: Many associated factors were found to influence the attitude, experience, and degree of patient satisfaction with the medical/non-medical services rendered by the general emergency surgery unit staff.

Knowledge Hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

Knowledge Hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

Knowledge hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

Knowledge hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

The Application of Social Responsibility in Television Advertising and Social Networking Applications for Companies and its Impact on Consumer Behavior

The research deals with the study of the application of social responsibility in television advertising and social networking applications for companies and its impact on consumer behavior, companies and the extent of its impact on consumer behavior, and the research was conducted on a sample of the public of the city of Baghdad, and a simple random sample consisting of (300) male and female respondents was selected from customers of Zain Iraq Telecom Company, and the questionnaire was used as a tool for measurement, and the results were analyzed using the statistical program SPSS, and reached results. Several, the most important of which is that text messages are the most important means by which the company broadcasts its advertisements related to community development, in addition to websites, internet pages, and television. For companies in consumer behavior by users, companies are interested in knowing the level of consumer satisfaction with their services in a specific field, and in our research, we find that the level of user satisfaction is average with the contribution of the company's advertisements in achieving social responsibility, due to its weak implementation in reality due to its need for great capabilities, and also advertisements need To elements that attract the consumer and innovative ideas that are entrenched in the mind of the recipient.

Effect of Online Social Networking on High School Students Academic Performance

Online Social Networking becoming one of the most popular trends among students around the globe. There is an increasing number of research in the recent years to study this phenomenon and this study is focusing on the implications of the use of Online Social Networking towards the high school students’ academic performance in Malaysia. Achieving excellence grades is vital to the high school students because it generally will give the students a better chance to obtain a good university as well as the opportunity for enrolling for better courses when pursuing their tertiary education. Is the growing use of Online Social Networking applications detrimental to the students’ academic success? Or is the Online Social Networking use behavior among the high school students in Malaysia help them to improve their academic performance? This study shade some light. The study result shows that students’ use of Online Social Networking is positively correlated to the students’ academic performance. This result supporting some of the previous study highlighting the benefits of Online Social Networking to the students.

OZONE AS A COLLAGEN BIO-STIMULATOR

The search for a skin similar to that obtained through filters of social networking applications is increasingly present in the complaints and desires of patients who arrive at the office. As the skin is the organ that most reflects the effects of the passage of time, in addition to genetic factors, hormonal status and metabolic reactions, such as oxidative stress, your health and appearance are directly related to the eating habits and the chosen lifestyle. The current challenge is the search for minimally invasive facial rejuvenation treatments with a lower risk of complications. A clinical case was reported in this article using only ozone applied subcutaneously to the submental region and neck. Clinical case: patient I.V, female, 60 years old, sought a private practice complaining of sagging skin in the papillae and neck region that bothered her. After careful examination and skin evaluation, it was proposed to the patient that we start the collagen induction protocol with ozone. Thus, we can conclude that the use of this aforementioned technique is an excellent alternative (safe and effective) for a more youthful and rejuvenated skin.

Korean students’ transnational literacy and social networks in a business college

This study examined how a group of Korean international students enrolled in a writing class in a United States business programme navigated their literacy practices through the use of KakaoTalk, a social networking application for smartphones. On the basis of 29 student interviews and a detailed narrative of one focal student’s activities in KakaoTalk group sessions, the study aimed to elucidate the less studied feature of literacy studies: the social networking methods that students mobilise to make meaning of their school literacy activities collaboratively and individually. The study findings suggest that students’ identities and literacy performances shape one another through the intersection of local and global forces. Theories of identity and the Korean concept of “in-maek” offer important insights into the dynamic interchange of students’ social and literacy practices and identities. This study provides insights into the influence of such identity work on students’ academic experiences and the development of a curriculum for a business programme writing class.

Social Media Platforms and Public Relations for Brand Promotion

Throughout a half century’s evolvement, public relations have become a bridge that extends the idea of organizations to the public mind. One of the challenges public relations meets is getting customers’ attention to the advertisement. In the current world, online social media gradually substitute conventional media to serve as a communication channel. They are a variety of online platforms, including business networks, collaborative projects, enterprise social networks, microblogs, photo and video sharing, products review, social bookmarking, and virtual worlds. Unlike traditional media, which is one-way communication, consumers only receive messages delivered to them without giving feedback to spreaders. Social media software is two-way communication, meaning that customers are supported to give feedback on goods and services. The social media platform is expected to be a new way of advertising, while it encourages dynamic communication between marketers and consumers. Because of this, the application of social networks plays a crucial role in promoting public relations activities. This study targets to analyse how public relations practitioners find it possible to depend on different social media platforms to gain customers’ attention for the organizations or brands they serve. The natures of platforms, influencers, and followers will be the objectives of starting this research.

HTTP Traffic Analysis based on Multiple Deep Convolution Network Model Generation Algorithms

In recent years, with the development of the Internet, social networking, online banking, e-commerce and other network applications are growing rapidly. At the same time, all kinds of malicious web pages are constantly emerging. Under the new situation, the network security threats are distributed, large-scale and complex. New network attack modes are emerging. With more and more diverse devices access to the Internet, our life is more intelligent and convenient, but also brings more loopholes and hidden dangers. Some malicious web pages through a variety of means to lure users to open URL links and conduct malicious behavior. However, if we can detect the URL of the malicious web page and identify the malicious web page, we can avoid the problems of content variability and behavior tracking. Therefore, traffic analysis based on various deep convolution network model generation algorithms arises at the historic moment, and becomes an important research issue in the field of Internet security.

The effect of vitamin A deficiency on human health

This study aims ot the importance of vitamin A for human health, and to educate people about the importance of vitamin A, and that if a deficiency will lead to severe complications for the person, leading to his illness, an electronic questionnaire was distributed through WhatsApp social networking application, where it was distributed to about 1100 people in the city of Mecca honor, and 850 responses were obtained.

Gratification of Yarmouk University Mass Communication Students’ Use of Mobile Phones

The aim of the current research is to study the uses of the mobile phone by students of the Faculty of Mass Communication at Yarmouk University as a means of communication and the gratifications achieved from it. The study adopts the survey method and is based on the two theories of media richness and digital transformation and it employes a questionnaire adminstered to a sample of 300 students of the Faculty of Mass Communication, Yarmouk University. The findings of the study show that the media students at Yarmouk University use their mobile phones intensively, and they use the mobile phone as a means of communication to a high degree. Further, the findings show that the use of the mobile phone satisfies the media students in a high degree, and it provides them with a means of entertainment, communication, and provides them with useful information. They use mobile social network applications to a high degree, the highest for live video applications, and the lowest for editing.

Recommending Profiles To Social Event Participation In Online Social Network Service Applications Using Deep Learning Techniques

Nowadays, organizing online Social events is growing especially in current pandemic situation due to corona. Thus social network services helps to organize the event oriented online social gathering. The events discussed on social networks can be associated with topics, locations, and time periods. Various literatures have employed clustering mechanism to group the profiles of the user of social networking applications. More research has been carried out in event based online network services as existing models leads to scalability and sparsity problems. Event-based online social networks are used to maintain interest-based groups with high relevancy rate, recommendation quality and predictive accuracy. In order to achieve the above goal, in this paper, we propose a novel framework named as Deep Influence Predict (DIP) which explores the features of Recurrent Neural Network in order identify the target or potential users through different patterns and behaviours of the profile on the social networking service applications. It learns multiple levels of representations and abstractions of the latent data through individual participation record. Further, it extracts the extrinsic and intrinsic properties of the profiles on their social connections and social effects. Specifically, it identifies the distinguishing social groups with different topics and categories as multifaceted interest in iterative process. Finally decision of recommendation for the event is integrated on outcomes of user behaviour model through personnel impact, social relation and equilibrium. Evaluation of the proposed model through various case studies has been implemented using hadoop architecture and validated across various measures such as accuracy on precision, Recall and f measure along scalability and Execution time.

Personalized Sliding Window Recommendation Algorithm Based on Sequence Alignment.

With the explosive growth of the amount of information in social networks, the recommendation system, as an application of social networks, has attracted widespread attention in recent years on how to obtain user-interested content in massive data. At present, in the process of algorithm design of the recommending system, most methods ignore structural relationships between users. Therefore, in this paper, we designed a personalized sliding window for different users by combining timing information and network topology information, then extracted the information sequence of each user in the sliding window and obtained the similarity between users through sequence alignment. The algorithm only needs to extract part of the data in the original dataset, and the time series comparison shows that our method is superior to the traditional algorithm in recommendation Accuracy, Popularity, and Diversity.

Intimate Partner Violence Victimization During the COVID-19 Pandemic Among a Global Online Sample of Sexual Minority Men.

We aimed to describe the prevalence of IPV victimization, changes of experiencing IPV victimization, and examined factors associated with more severe or frequent IPV victimization since the COVID-19 crisis among a global sample of sexual minority men (SMM). Data were collected between October and November 2020 through a gay social networking (GSN) application. We used multinominal logistic regression to examine correlates of experiencing any IPV during the pandemic and experiencing more severe or frequent IPV since the pandemic began. Of all participants (n = 9420), IPV victimization prevalence in the past 6 months was 17.0%, 19.5% of whom reported experiencing more severe or frequent IPV and 55.7% reported experiencing IPV that stayed the same since the COVID-19 started. Experiencing more severe or frequent IPV victimization since the pandemic began was associated with having engaged in sex work, having an income reduction by more than 20% and cutting meals since the COVID-19 crisis began. Increased tobacco use and psychological distress were also associated with increased IPV victimization. Lastly, SMM who reported having met a sexual partner through GSN apps were more likely to say that their experience of IPV had been more severe or frequently. Our results demonstrate relatively high levels of reporting IPV victimization during the COVID-19 pandemic among a global sample of SMM. The findings illustrate an increasing need for IPV resources and programs as the pandemic continues to evolve. New technologies such as GSN apps have the potential to deliver confidential and safe IPV screening, services, and resources.