Mobile Social Network Services Research Articles

Study on User Satisfaction Prediction and Influencing Factors based on GBDT Modeling

A deep understanding of the factors affecting the characteristics of user experience helps to promote the benign development of China's mobile social network services, while how to improve the satisfaction of China's user experience has become a major key to the development of China's network commercialization applications. This paper draws on the application of machine learning algorithms in other areas of classification and identification, replicated to the classification and identification of user experience satisfaction to promote the high-quality sustainable development of mobile networks, and then through the analysis of the various factors affecting user satisfaction, to provide a basis for decision-making, so as to achieve an earlier and more comprehensive enhancement of user satisfaction. This paper adopts SMOTE oversampling for the unbalanced data of mobile user scoring dataset, and then adopts factor analysis for the main factors affecting customer satisfaction, and carries out Bartlett's spherical test. After that, GBDT model is established for user satisfaction prediction, and robustness test is used to optimize the model parameters, and the results show that the AUC value of GBDT model prediction is about 0.99. The time complexity of the algorithm can be greatly reduced and is more acceptable to industry.

Privacy paradox for location tracking in mobile social networking apps: The perspectives of behavioral reasoning and regulatory focus

Social networking services (SNSs) have been collecting and analyzing users' personal data for the sake of personalization and customization, raising massive privacy concerns. Among the various types of privacy, personal location data are considered most sensitive, but are critical for the location-based features in mobile SNS applications. Drawing on behavioral reasoning theory and accounting for the privacy paradox, this study investigates the heterogeneous psychological mechanisms supporting and discouraging mobile SNS users from enabling location tracking in SNS applications. Based on a survey of young internet users in China, our analysis shows that, first, reasons for location tracking are insignificantly associated with intention to allow location tracking but reasons against are negatively related to intention. Furthermore, for individuals with higher desire to share, reasons for and attitude have the stronger associations with intention, while the moderating effect of desire for privacy is insignificant. We make research contributions by examining the antecedents of the reasoning process, as well as the moderating role of desire to share, to account for the privacy paradox. We also contribute to behavioral reasoning theory by introducing regulatory focus-based antecedents to the reasoning process. We offer key practical suggestions for SNS providers and policymakers.

The Use of Digital Media and Modes of Communication of Affected People: A Case Study of Earthquakes in East Java, Indonesia

Several earthquake incidents in the East Java province have resulted in numerous disadvantages such as damaged buildings and victims that were physically and emotionally wounded. The problem that has arisen in these situations is how victims of natural disasters often receive late responses and little to no information about relief efforts from authorities. Local governments and disaster relief organizations have not initiated the right method of communication to give important information toward disaster victims when information technologies have developed rapidly. The present study opt for a qualitative research design to conduct the interviews from the victims of disaster living nearby Malang and Blitar regencies of Indonesia. It examines how people living in earthquake-prone regions are communicating during the disaster using smartphones and social networking services. The findings of the research show that people living in the disaster-risk areas use mobile phones, smartphones, and social networking services in their daily life; yet, not many of them using these devices and services to look for information about earthquakes. Although authorities have created digital channels as a source of information, it does not receive significant attention and interest of the people at risk. The problems with uneven digital media literacy and lack of resources remain unresolved. Cooperation between authorities and people is expected, to ensure that the use of existing communication technologies becomes more effective and efficient in earthquake relief efforts and countermeasures.

Factors affecting the diffusion of mobile social network services in an aging society: value of informative, hedonic and ubiquitous services

PurposeThis paper aims to identify factors affecting the continued intention to use mobile social network services (m-SNS) among middle-aged and older adults in Korea, based on the focal characteristics of mobile services and SNS.Design/methodology/approachData were collected through an online questionnaire to understand m-SNS usage from 358 people aged over 40 years in Korea.FindingsResults show that middle-aged and older users of m-SNS are strongly motivated to seek information; they prefer to use m-SNS on a habitual basis because of the ubiquitous connectivity of mobile services. Furthermore, they perceive the usefulness of m-SNS in expanding their social networks. These results can be used to identify factors that affect continued use of m-SNS by the middle-aged and older generation in Korea.Originality/valueThis paper expands the literature on SNS acceptance among middle-aged and older adults, the population that, in future, is expected to constitute the majority of m-SNS users. This paper can also help understand factors that affect mature consumers’ continued use of m-SNS.

THE FACTORS AFFECTING PERSONAL INFORMATION DISCLOSURE AND USAGE CONTINUANCE INTENTION ON MOBILE SOCIAL NETWORKING SERVICES

Human life has been greatly changed by the explosive growth of the internet and social media. This paper explores the factors affecting the individual information disclosure and usage continuance intention on mobile social networking services. Therefore, this study is aimed to test hypothesesrelated to the proposed calculus theory rather than generate new hypotheses. Therefore, the present research study is deductive in nature and thus is consistent with the positivism paradigm. The present study intends to adopt a quantitative research strategy using a structured survey questionnaire. Questionnaires are prepared on a five-pointLikert scale and distributed to 180 individuals in the Klang Valley in Malaysia. Indeed, the opinions of the respondents are different from each other a non-probability sampling tool has been used. The results of the study were analyzed by Pearson correlation tests and indicate that several parameters are highly significant, including privacy concerns, perceived risk, information sensitivity, reliable beliefs, perceived usefulness, and relationships for disclosure. The information mentioned that the respondents notice in the disclosure of information and their intention to use it. Three factors, such as privacy concern, perceived risk, and information sensitivity, are associated negatively with significance towards the information discloser among the users of the mobile apps in social networks in Malaysia. The other three factors, such as trusting beliefs, perceived usefulness, and relationship building, are positively associated with information disclosure.

A Study on Propagation in the COVID-19 Era and the Future Revitalization of Buddhist Meditation

현시대는 코로나 팬더믹 현상으로 전 세계인들이 힘든 상황에 처해있다. 불안과 스트레스를겪는 사람들에게 가장 큰 도움이 되는 것은 참선이나 명상일 것이다. 현재 코로나-19라는 바이러스로 사람과 사람이 서로 만나지 못하는 상황이다. 이러한 현실은 사람들을 더욱 외롭고 힘들게만든다. 그러므로 전통적인 불교 참선이나 화두보다는 현시대에 맞는 포교가 되어야 종교에 관계없이 많은 사람들을 치유하고 힐링할 수 있을 것이다. 코로나 팬더믹 현상으로 사람들을 만나지못하고 혼자 고립된 상황에서 사람들은 더욱 핸드폰이나 영상 매개체에 의지해있는 실정이다. 이 상황에서는 모바일 명상앱이나 SNS를 활용한 포교가 훨씬 효과적일 것이다. 또한 코로나로인해 드러난 사실 가운데 놀라운 일은 지적 수준이 높은 젊은 사람들이 사이비 종교에 가입해있는것을 확인했다. 그러므로 젊은 층을 위한 불교의 대중화 방안이 시급한 실정이다. 이에 전 연령층들이 이용하는 세계적으로 유명한 명상 단체들의 장점을 고찰하여 불교계에서 적극적으로 활용해서 포교하면 좋을 것이다. 세계적인 명상센터에서는 이미 오프라인과 온라인 명상 프로그램을병행하고 있거나, 불교 교리에 근거한 다양한 프로그램과 친환경 운동으로 사람들에게 큰 영향력을 주고 있었다. 이러한 연구는 불교를 시대에 맞게 대중화시키는 데 반드시 필요할 것이다.Across the world, people are facing difficult situations due to the COVID-19 pandemic. Meditation practice or contemplation would be most helpful to people suffering from anxiety and stress. Currently, the COVID-19 pandemic is preventing people from socializing. This circumstance is leading people to feel increasingly lonely and depressed. Therefore, rather than a traditional Buddhist meditation practice or true-word of no-word, numerous people can only be healed, regardless of religion, when the propagation work fits their current situations. Isolated situations in which people are prevented from meeting each other due to the COVID-19 pandemic are increasing their dependence on cell phones and video media. In these circumstances, propagation will be significantly more effective through mobile meditation application programs or social networking services. Additionally, a surprising aspect of the COVID-19 pandemic was that young people with highly intellectual standards have been found to become members of pseudo-religions. Therefore, popularization methods for Buddhism among young people are more urgently required than ever. Thus, it would be beneficial to actively contemplate and utilize the merits of world-famous meditation organizations used by all ages in the Buddhist community for the propagation. The world’s leading meditation centers were already operating both in-person and online meditation programs, or they were influencing people with various programs and eco-friendly movements based on Buddhist doctrines. Such study will be essential to popularize Buddhism in conformity with the current era.

Preserving Secrecy in Mobile Social Networks

Location-based services are one of the most important services offered by mobile social networks. Offering this kind of service requires accessing the physical position of users together with the access authorizations, i.e., who is authorized to access what information. However, these physical positions and authorizations are sensitive information that have to be kept secret from any adversary, including the service providers. As far as we know, the problem of offering location-based services in mobile social networks with a revocation feature under collusion assumption, i.e., an adversary colludes with the service provider, has not been studied. In this article, we show how to solve this problem in the example of range queries. Specifically, we guarantee any adversary, including the service provider, is not able to learn (1) the physical position of the users, (2) the distance between his position and that of the users, and (3) whether two users are allowed to learn the distance between them. We propose two approaches, namely, two-layer symmetric encryption and two-layer attribute-based encryption. The main difference between them is that they use, among other encryption schemes, symmetric and attribute-based encryption, respectively. Next, we prove the secrecy guarantees of both approaches, analyze their complexity, and provide experiments to evaluate their performance in practice.

A Search Efficient Privacy-Preserving Location-Sharing Scheme in Mobile Online Social Networks

With the advent of intelligent handheld devices, location sharing becomes one of the most popular services in mobile online social networks (mOSNs). In location-sharing services, users can enjoy a better social experience by updating their real-time location information. However, the leakage of private information may hinder the further development of location-sharing services. Although many solutions have been proposed to protect users’ privacy, the privacy-utility trade-offs must be considered. Therefore, we propose a new scheme called search efficient privacy-preserving location-sharing (SELS) system. In our scheme, we create a new approach named associated grids to improve the efficiency of location-sharing systems while maintaining users’ privacy. In addition, by setting the user-defined access control policy proposed in our scheme, users’ flexible privacy-preserving requirements can be satisfied. Detailed complexity and security analysis show that the proposed scheme is a practical and efficient privacy-preserving solution. Extensive simulations are performed to validate the effectiveness and performance of our scheme.

Efficient service discovery in mobile social networks for smart cities

Mobile social networks (MSNs) play an important role in the process of the development of smart cities. Citizens can interact and engage with services provided by MSNs. Smart city services enhance their quality of life. With the popularity of smart phones, mobile social activities have become an important component of citizens’ daily life. People can post their social contents to their remote friends and can access shared information in the cycles of friends anytime and anywhere through their mobile devices. This human-centered social approach generates enormous amounts of social data that are distributed across various smart devices. Efficient service discovery from such cycles of friends is a fundamental challenge for MSNs. This paper proposes a friends’ cycle service discovery (FCSD) model for searching social services in MSNs based on human sociological theories and social strategies. In the proposed FCSD network, intelligent network nodes with common social interests can self-organize to interact and form social cycles with other potential nodes, and further can co-operate autonomously to identify and discover useful services from cycles of friends and cycles of friends’ friends. The proposed model has been simulated and evaluated in a decentralized mobile social environment with an evolving network. The experimental results show that the FCSD model exhibits better performance compared with relevant state-of-the-art services search methods.

Enhancing VANETs Broadcasting Performance with Mobility Prediction for Smart Road

In the last decade, daily lifestyles have been invaded by mobile networks which added a huge exchange of information. This exchange among vehicular nodes as a novel paradigm in smart cities, rapidly became one of the most important topics for industrial investigations and academic research in the same time. This technology covers several domains which impacts the daily human life making emerging mobile social network services to be projected on vehicular networks. Moreover, and especially in big cities, vehicular ad hoc networks (VANET) as a form of intelligent transportation systems have to have a cooperative driver assistance. Such applications generally call out broadcasting techniques for data dissemination. Many approaches were introduced in literature in the aim of improving broadcast performance, one of these approaches is mobility prediction. Since mobility has various aspects such as node position, direction, velocity and also density many broadcast algorithms were founded on one or more different mobility parameter. Multi point relay (MPR) a traditional heuristic for broadcasting protocols, were extended based on kinetic aspect of the network to Kinetic multi point relay (KMPR) heuristic. In this paper we introduce a modification of KMPR main formula by setting a new more accurate coverage density parameter. Then we endorse the original algorithm by other constraints to manage more performance metrics. We finally illustrate that our contribution improves the forwarding process quality compared to MPR and KMPR by reducing the relay set size and duplicate information.

Detection of Spoofing Attacks in WLAN-Based Positioning Systems Using WiFi Hotspot Tags

WLAN-based localization is widely adopted for mobile positioning, which is the prerequisite for location based services and more. However, the existing positioning systems are vulnerable to location spoofing attacks, which may bring major privacy concerns to mobile social network service (MSNS). In this paper, we first show a privacy attack model base on spoofing attack in MSNS, and then propose a novel defense mechanism based on WiFi-hotspot tags (i.e. base-station tags, BS tags). Specially, we utilize the unpredictability and reproducibility of BS tags to authenticate the spatial-temporal property of a geolocation. Furthermore, we introduce the bloom filter to compress parts of real-time hotspots frames, while guaranteeing its high entropy. Also, we design a tag verification algorithm based on the fuzzy extractors, which can well adapt to the high-bit error rates of wireless transmission. Finally, the safety and feasibility of the mechanism are proved by theoretical and experimental analysis.

Maximum Influential Location Selection With Differentially Private User Locations

The widespread use of mobile devices and social network services has made optimal location queries an important research topic. Previous studies have focused on the problem of maximum influential (Max-inf) location selection, that is, finding a location that can attract as many clients as possible. The location information of each client should be collected to process such a query. However, client location is considered sensitive information. Therefore, a privacy protection technique should be applied to Max-inf problems. Motivated by this, we propose a Max-inf problem query-processing technique with differentially private client location information. Furthermore, we present a Voronoi region-based technique to guarantee query accuracy and a Voronoi envelope-based pruning heuristic to improve query performance.

User behavior and user experience analysis for social network services

The user behavior characteristics of mobile social network services are of guiding significance to the evaluation of user experience, and test cases and test scenarios should be designed according to user behavior characteristics. Current studies have heavily addressed the action sequence and the frequency distribution of user behavior. However, there is little research on the amount of user action triggered by the communication angle and the fluctuation of the user’s action communication performance under different scenarios. This paper analyzes the distribution of data concerning different user actions and tests the waiting time and success rate of different user actions in different scenes. The results suggest that the complex scenarios can consist of some typical user behaviors.

A microservice recommendation mechanism based on mobile architecture

The microservice recommendation mechanism, as a key supporting technology for providing users with intelligent and proactive application services, is one of the important research contents in mobile social networks. In this paper, a recommendation mechanism of mobile social network service based on user trajectory, trust network and collaborative filtering algorithm is proposed. The user trajectory prediction model based on Generative Adversarial Network (GAN) is introduced into the process of service recommendation, and combined with trust degree to constitute the 3D service recommendation model of user-service-trajectory prediction. This method improves the accuracy and reliability of service recommendation and avoids the blindness and randomness of service recommendation. The simulation experiments show that the service recommendation algorithm has higher accuracy than the traditional collaborative filtering algorithm.

Developing a mobile SNS addiction scale utilizing factor analysis and the Rasch model

Purpose The purpose of this paper is to develop a mobile social networking service (SNS) addiction scale to measure respondents’ addiction levels. Design/methodology/approach Drawing on the existing literature on the components model of addiction by Griffiths (2005) and mobile SNS addiction, an initial scale in a five-point Likert-format was developed. It was refined through the pilot study with 100 participants and the main study with 423 participants utilizing factor analysis and Rasch analysis. Findings Mobile SNS addiction as a behavioral addiction, demonstrated six addiction symptoms: modification, salience, tolerance, withdrawal, conflict and relapse, which were interrelated with each other. The mobile SNS addiction scale developed in this study was found to be psychometrically robust and unidimensional. Practical implications The mobile SNS addiction scale consists of nine items, thus making it easier and more convenient to be applied to academic research and clinical practice. Originality/value The combined use of factor analysis and the Rasch model could largely reduce potential negative effects associated with limitations of classical test theory and improve the chance of developing a psychometrically robust instrument. The mobile SNS addiction scale covers a range of types of SNSs, thus being more generic. The items in the scale are unidimensionally loaded on the latent construct of mobile SNS addiction and demonstrate measurement invariance across respondents of different demographics.

P101 - It is efficient to monitor the status of implanted ureteral stent by using a mobile social networking service application

P101 - It is efficient to monitor the status of implanted ureteral stent by using a mobile social networking service application

It is efficient to monitor the status of implanted ureteral stent using a mobile social networking service application.

Forgotten ureteral stents (FUS) is a great threat to both patients and doctors. Applications on smartphones can significantly reduce the incidence of FUS. But existing applications do not have instant notification and consultation functions. To implement those function, we developed a ureteral stent tracking system embedded in a social networking service application, WeChat. "Ureteral Stent Tracking System" was developed on WeChat, a social media application using by 1.4million active users. The study consecutively enrolled patients who underwent ureteral stent installation from April 2018 to July 2018. Each patient's information was recorded on the smartphone by the urologists to create a document immediately after the surgery. The system sends notifications twice a week to both patients and clinicians via the message function of WeChat. A total of 183 patients were enrolled. The most senior patient enrolled was 73years old. 156 (85.2%) patients underwent stent extraction before the scheduled time. 22 did not undergo stent extraction before the scheduled time because of urinary tract infection or stone residue. They underwent stent extraction within 1month after the scheduled time. Two patients did not come to the hospital until we had made a phone call to them, though they had received notification from the online system. During the study, no patient was lost-to-follow up. In bilateral stents cases, no stent was forgotten after extraction surgery. A total of 85 (46.4%) patients consulted 132 issues in the system. 52 (39.4%) patients complained about hematuria. 36 (27.3%) patients reported lower urinary tract symptoms. All the consultations were answered within 24h. "Ureteral Stent Tracking System" implement instant notification and consultation functions via WeChat. It helps urologists to manage indwelling ureteral stents and to reduce the incidence of FUS efficiently.

Slang Words on Instagram Hashtags

The title of this study is “Slang Words on Instagram Hashtags”. This study is focused on analyzing types of slang and the literal and figurative meanings of slang words on Instagram Hashtag. The data were taken from the hashtag in an Instagram post, Instagram itself was an online mobile photo-sharing, video sharing, and social networking services. Documentation method was used to collect the data and for the technique of collecting the data, note taking was used. The method and technique of analyzing the data, it was using descriptive qualitative method and analyzed based on the theoretical framework. For presenting the data, the data was presented descriptively. This study applied two theories which are the theory proposed by Allan and Burridge (2006) which focus on types of meaning consist of fresh and creative, imitative, flippant, acronym and clipping also the theory proposed by Hayes (1977) in the literal meaning and figurative meaning. Based on the data analysis, it can be seen that the fresh and creative types of slang were the most used in the Instagram hashtag and the other types of slang, are also used in the Instagram hashtag but not as much as fresh and creative. In additional, the literal meaning is based on the dictionary and the figurative meaning affected by context.

Acquiring travel-related information from mobile social networking services: What factors predict social networking services users’ perceived value and trust in Malaysia?

ABSTRACT The goal of this research is to predict which factors influence SNS users’ perceived value and trust in acquiring travel-related information from mobile social networking services (mobile SNS). Data were analysed via the Partial Least Square-Structural Equation Modelling (PLS-SEM) approach to examine the postulated research hypotheses. The PLS-SEM approach revealed that perceived enjoyment profoundly influenced SNS users’ perceived value of the travel-related information acquired from mobile SNS. Furthermore, perceived value was found as the strongest predictor of SNS users’ trust in acquiring travel-related information from mobile SNS. Users were able to accumulate a high volume of knowledge from other online users who shared a variety of travel-related information via SNS. This allows users to acquire substantial amounts of useful travel-related data from other online users using SNS while simultaneously, improving their interpersonal relationships. The empirical research findings provide some directions for managers in the tourism industry to follow, by applying the findings of this study to their marketing strategies. The study gains in importance, particularly after Facebook’s data privacy scandal with Cambridge Analytica. Directions for future research are offered.

RPAR: Location Privacy Preserving via Repartitioning Anonymous Region in Mobile Social Network

Applying the proliferated location-based services (LBSs) to social networks has spawned mobile social network (MSN) services that allow users to discover potential friends around them. While enjoying the convenience of MSN services, the mobile users also are confronted with the risk of location disclosure, which is a severe privacy preserving concern. In this paper, we focus on the problem of location privacy preserving in MSN. Particularly, we propose a repartitioning anonymous region for location privacy preserving (RPAR) scheme based on the central anonymous location which minimizes the traffic between the anonymous server and the LBS server while protecting the privacy of the user location. Furthermore, our scheme enables the users to get more accurate query results, thus improving the quality of the location service. Simulation results show that our proposed scheme can effectively reduce the area of anonymous regions and minimize the traffic.