Friend List Research Articles

A Recommendation Engine Model for Giant Social Media Platforms using a Probabilistic Approach

Existing recommender system algorithms often find it difficult to interpret and, as a result, to extract meaningful recommendations from social media. Because of this, there is a growing demand for more powerful algorithms that are able to extract information from low-dimensional spaces. One such approach would be the cutting-edge matrix factorization technique. Facebook is one of the most widely used social networking platforms. It has more than one billion monthly active users who engage with each other on the platform by sharing status updates, images, events, and other types of content. Facebook's mission includes fostering stronger connections between individuals, and to that end, the platform employs techniques from recommender systems in an effort to better comprehend the actions and patterns of its users, after which it suggests forming new connections with other users. However, relatively little study has been done in this area to investigate the low-dimensional spaces included within the black box system by employing methods such as matrix factorization. Using a probabilistic matrix factorization approach, the interactions that users have with the posts of other users, such as liking, commenting, and other similar activities, were utilized in an effort to generate a list of potential friends that the user who is the focus of this work may not yet be familiar with. The proposed model performed better in terms of suggestion accuracy in comparison to the original matrix factorization, which resulted in the creation of a recommendation list that contained more correct information.

Effect of Close Friends Instagram Stories Feature Intensity on Interpersonal Communication Intimacy Levels

This study aims to determine the magnitude of the influence of the intensity of the Instagram stories feature on the level of intimacy of Interpersonal communication and to find out how the influence of selfopenness on the level of intimacy of Interpersonal communication on Instagram story users on Instagram. The method used is an explanatory method with the positivism paradigm, this is used to examine the extent to which variations in a factor are related to other factors. Then the data analysis technique uses simple linear regression. The results of this study show that t count > from t table which is 3,844 > 2,348 can be interpreted as Ho rejected and Ha accepted. Then the result of the coefficient of determination (R2) showed a number of 0.189, which means that the intensity of use of the close friends feature by some users had an influence of 18.9% on the level of intimacy of interpersonal communication, an influence that was seen to be small and could influence other users to actively communicate while the rest was influenced by other factors that were not included in this study by 81.1%. Thus, this shows that the intensity of the close friends feature has a positive influence on the level of intimacy of interpersonal communication and also the encouragement of self-openness from users of the close friends feature to the selected list of friends in increasing interpersonal communication with other users

Fragmented History: Challenges and Perspectives Building a Narrative of the Latter-day Saints in Brazil

Fragmented History: Challenges and Perspectives Building a Narrative of the Latter-day Saints in Brazil

Facial Recognition Attendance System Using Deep Learning

Abstract: Face authentication is one of the critical unsolved problems in computer science, a lot of time and energy is spent to invent a robust solution for it. Face authentication can play a significant role in security, Biometric verification, auto detection of criminals in a crowd, etc. The paper presents a unique model that authenticates the faces in the image, and securely shares the images. Firstly, the deep learning algorithm identifies all the faces in the image, extracts the invariant features of each face. The invariant feature of the face is studied to compute the emotions. The model captures the friends list of the user and securely shares the image to the known persons in the image.The main purpose of this project is to enhance the relationship between the student and the teaching staff. Due to pandemic every student are forced to attend the online classes, even though some students are tend to bunk the classes by attending those session by use some other else. In order to stop this we developed an windows application to take facial attendance and attending the class. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exists in the old system. Thus, by means of technology, this project will resolve the flaws existed in the current system while bringing attendance taking to a whole new level by automating most of the tasks. The technology working behind will be the face recognition system. In the old system they use LDA. Although LDA is one of the most common data reduction techniques, it suffers from two main problems: The Small Sample Size (SSS) and linearity problems. We improvised the facial recognition using LBPH – (Local Binary Pattern Histograms) - Local binary patterns (LBP) is a type of visual descriptor used for classification in computer vision. This algorithm is so fast and reliable and the result prediction we have utilized a regression algorithm.

Risk Analysis Using Multi-Attribute Failure Mode Analysis Approach in Mybeb Social Payment Application

MyBeb is a social payment application owned by one of the FinTech companies in the Sidoarjo area, East Java Province. Mybeb itself is an application that provides social media features as well as payments. In running the product, several obstacles and operational risks arise that have not been handled properly, and not a few users have not been properly educated in the use of this application. This study aims to identify risk priorities and corrective actions that must be taken using the MAFMA method. The method is to detect failure points that have great potential to be overcome. Then get the results and benefits of the analysis method that will affect the company using the methods. From the methods, the risk with the highest value was at the risk of the P10 value, which was 0.482. At the same time, the lowest risk is at P1 risk with a risk level value of 0.251. Then for managerial implications for the proposed improvement to the method with the highest risk level at P10 risk, a page for a list of friends using referral links from users is given to those who have done uploading profile photos.

Community detection for access-control decisions: Analysing the role of homophily and information diffusion in Online Social Networks

Access-Control Lists (ACLs) (a.k.a. “friend lists”) are one of the most important privacy features of Online Social Networks (OSNs) as they allow users to restrict the audience of their publications. Nevertheless, creating and maintaining custom ACLs can introduce a high cognitive burden on average OSNs users since it normally requires assessing the trustworthiness of a large number of contacts. In principle, community detection algorithms can be leveraged to support the generation of ACLs by mapping a set of examples (i.e. contacts labelled as “untrusted”) to the emerging communities inside the user’s ego-network. However, unlike users’ access-control preferences, traditional community-detection algorithms do not take the homophily characteristics of such communities into account (i.e. attributes shared among members). Consequently, this strategy may lead to inaccurate ACL configurations and privacy breaches under certain homophily scenarios. This work investigates the use of community-detection algorithms for the automatic generation of ACLs in OSNs. Particularly, it analyses the performance of the aforementioned approach under different homophily conditions through a simulation model. Furthermore, since private information may reach the scope of untrusted recipients through the re-sharing affordances of OSNs, information diffusion processes are also modelled and taken explicitly into account. Altogether, the removal of gatekeeper nodes is further explored as a strategy to counteract unwanted data dissemination.

Let’s Rename Everything “the Metaverse!”

All of the different Metaversi currently cannot share your friends list, your avatar, or any in-game experience you have had. This needs to be engineered in from the start for the Metaverse to succeed.

A Development, Validity and Reliability of Safe Social Networking Scale

Social networks has become in the spotlight for millions of people since they create a dynamic and rich interaction environment between users, and allow free access and usage of fake identity information. Distance education and working from home around the world due to COVID-19 pandemic has affected the increase in the rate and duration of social media usage in the last year. Unfortunately, this increase has offered criminals, who have the potential to pose risks and dangers on social media, more opportunities. Therefore, it has become even more important to use social media as a safe environment. The objective of this study was to develop a Safe Social Networking Scale for determining the security levels in social network usage. The validity and reliability studies of the scale were conducted with 585 social media users. As a result of the validity study, 28 items under five factors were obtained. These factors were being “Time Tunnel/Wall Sharing”, “Safety of Social Network Profile Information and Sharing”, “Social Network Friends List and its Safety”, “Safety of Social Network Information Input”, “Safe Login to Social Network Account”. The items obtained were capable of discriminating the individuals in terms of the features to be measured by the scale. There has not been any scale that directly determines the level of safe use of social media in the literature. The developed scale is expected to fill this scale gap in the literature. Keywords: safety, social networks, scale development, reliability, validity

Towards Private Learning on Decentralized Graphs With Local Differential Privacy

Many real-world networks are inherently decentralized. For example, in social networks, each user maintains a local view of a social graph, such as a list of friends and her profile. It is typical to collect these local views of social graphs and conduct graph learning tasks. However, learning over graphs can raise privacy concerns as these local views often contain sensitive information. In this paper, we seek to ensure private graph learning on a decentralized network graph. Towards this objective, we propose <i>Solitude</i>, a new privacy-preserving learning framework based on graph neural networks (GNNs), with formal privacy guarantees based on edge local differential privacy. The crux of <i>Solitude</i> is a set of new delicate mechanisms that can calibrate the introduced noise in the decentralized graph collected from the users. The principle behind the calibration is the intrinsic properties shared by many real-world graphs, such as sparsity. Unlike existing work on locally private GNNs, our new framework can simultaneously protect node feature privacy and edge privacy, and can seamlessly incorporate with any GNN with privacy-utility guarantees. Extensive experiments on benchmarking datasets show that <i>Solitude</i> can retain the generalization capability of the learned GNN while preserving the users&#x2019; data privacy under given privacy budgets.

THE EFFECT OF USING FACEBOOK ON ELDERLY PEOPLE DURING COVID-19 PANDEMIC

The use of the Facebook communication network during the pandemic Coronavirus by the elderly was beneficial because it played a role in connecting family and friends, when physical encounters could not take place. Social media has presented numerous benefits on mental health, such as: developing skills in using new technologies that delay cognitive impairment, lower levels of loneliness and positive visions of the future. Many users said that in addition to being close to family, they learned about the pandemic and what it means, but they also expanded their list of friends in the virtual environment. Through the video call option, they were able to communicate with the loved ones and managed to overcome social isolation and the feeling of loneliness. Therefore, the use of Facebook has been beneficial among the elderly, giving them a pleasant environment of social and emotional connection with the loved ones, communication with virtual friends has been developed, and self-confidence has increased. Facebook communication network users obtained a higher score when assessing social satisfaction and increased confidence in technology.

VIDEO AND AUDIO CONTENT ARE EFFECTIVE COMPONENTS OF SOCIAL NETWORK DEVELOPMENT

The questions of the necessity to develop a social network are considered. The developed social network is offered for publishing new posts, adding and removing other members from the friends list, personal correspondence with any member. Particular attention is paid to the issues of using video content and the reasons for the popularity of video content are determined. A simple and user-friendly design is proposed to accomplish the task. The functions of the user in the developed system are considered and the use cases diagram is constructed. The social network database is described. The choice of the PHP programming language for the task implementation is analyzed and substantiated. Features of use and advantages of Open Server and Bootstrap framework are considered. The use in the development of the social network Ajax - the technology of developing web-applications has been substantiated. The work of the developed social network on the part of the user and the administrator are described. Particular attention is paid to the authorization of the user on the network, for the safety of pages. The test results are presented to check the system's correctness and the compliance of its implementation with the requirements. The project has been uploaded to shared hosting, which makes the social network ready for use on the Internet

Extended Framework for Target Oriented Network Intelligence Collection

The Target Oriented Network Intelligence Collection (TONIC) problem is the problem of finding profiles in a social network that contain publicly available information about a given target profile via automated crawling. Such profiles are called leads. Leads can be found by crawling the network using the profiles' friend lists (immediate neighborhood) in order to decide which profile will be crawled next. Assuming that leads tend to cluster together, prior work limited the search for new leads only to immediate neighbors of the leads previously found. In this paper we relax this limitation, and extend the scope of the search to a wider neighborhood, including the possibility of crawling to non-leads, i.e., profiles that have no publicly available information about the target. We propose a set of heuristics that guide this search. Experimental results show that with the new setting more leads can be found and leads are found faster. In addition, we perform a cost benefit analysis of the search, weighing the reward of finding leads with the costs of the search.

Особенности поведения российских и американских студентов в социальной сети Facebook

Presented is the analysis of peculiarities of behavior of Russian and American students in the social network Facebook. The focus of the study is on what activities students of the two countries are most often engaged in, as well as on what motives they motivate when adding users to the personal list of friends. The main method of research is a formalized interview (N = 266). Students of two higher educational institutions located in Kaliningrad (Russia) and Philadelphia (USA) were interviewed. In anticipation of the analysis, according to the functionality, the types of activities on Facebook were highlighted, i.e. social, functional and cognitive. Also forms of activity were divided into public and private according to the nature of their manifestation (open or hidden). The motives for making friends were typologized according to the user’s orientation towards the development of “binding” or “connecting” social capital. As a result of the analysis, it was revealed that students from the United States are more likely to engage in public activities on Facebook than students from Russia, which is expressed in more active commenting on posts, publishing content on their personal page and friends’ pages. Russian students prefer private activities (chat and viewing other people’s pages). The functional type of activity, expressed in the use of gaming and non-gaming applications, turned out to be the most unpopular form of pastime on Facebook among students in both countries. It was also found that students at two universities are more focused on the development of “connecting” social capital. At the same time, for Russian students the dating factor in real life does not act as an important motive for adding friends to the list as for American ones. It is suggested that the basis for the differences discovered are the features of the cultural environments in which students live. The Russian environment involves more cautious participation in public life, the American stimulates social activism. Significant gender differences in peculiarities of student behavior in Facebook network could not be identified.

Kuchu Counterpublic on Facebook: Gay Men’s Challenge to Heterosexist Policies in Uganda

SummaryHow do queer counterpublics online function as spaces where stigmatized individuals can gather to advocate for their interests and share their needs? Based on an online ethnography of gay cisgender men in Uganda, I offer three main conclusions. First, the popular and widely accessible social medium Facebook allows space for a visible queer opposition to the anti‐LGBTQ movement and for the realities of the Ugandan LGBTQ community—locally known as kuchu—to emerge through individuals’ sexual self‐expression and self‐knowledge. Second, to avoid identification, arrests, and punishments through state surveillance, kuchus use Facebook to create a list of safe virtual friends. Finally, the rise of a virtual queer counterpublic and its global discourse has deepened transnational stereotypes and encouraged vigorous attacks by the Ugandan government, including indiscriminate arrests. Despite these risks and challenges, kuchus’ use of Facebook demonstrates its value for creating a counterpublic.

Praktykować media/Praktykować siebie… O doświadczaniu przestrzeni późnej nowoczesności

In advanced globalization, the digital code, computer, and Internet become tools of cultural change. 2-3-4.0 generation media produce images, artificial events, objects, as well as methods of vision prevailing in design, design processes, and communication. The number of visibility types offered to users, results in media matrices becoming regimes of (for) the eye, of (for) a bodily experience. It also shapes a sense of reality by means of media space (TV stream, cyberspace) and spaces inscribed in media forms (simulations, hybrids, onto-ontological topias). Two issues seem of particular relevance here. Questions about access to reality offered by ‘images’ (satellites, HDMI helmets, combat glasses, etc.) and possibilities of seeing the world from behind the visual media matrices. Media, multi-media communication platforms distribute not only schemes of viewing, but also the right to look (extranet, friends lists, access to archives and libraries, consumer profiles collected by Google, MS, etc.). The excess of artificial forms and spaces, on the other hand, directs attention to participation and participants of culture: individuals and communities (real, imagined, virtual). Their activities in cyberspace, including identity and identity practices, should be the focus of interest. The author of the text reflects upon identity practices of the Praktykować media/Praktykować siebie individual, that is the individual’s participation in culture through the prism of immaterial materiality, self-care, and the need for bonds and integration with the Others. She discusses techniques of advanced audio-vision (their matrices and spatiality), as well as creation of subjective coherence negotiated with others in terms of individual – group (conventional) – universal content (e.g. humanity). Identity practices are located within the framework of data flows and transmissions, information bubbles, heterotopia, and identities of legitimization, resistance, and design implemented there. The author of the text also perceives identity from the perspective of a person and a mask, of users’ tactics articulating their presence in cyber-virtual communities (e.g. avatars, nicks, multiple identities), as well as in the perspective of data visualization: user profiles, metric identifiers, files, selection algorithms, search history, archives of published photos…, in other words – institutional (cyber)surveillance strategies.

论微信好友列表信息的法律性质及保护——以微信读书案为例

论微信好友列表信息的法律性质及保护——以微信读书案为例

Exploring the impact of digital professionalism awareness training on dental undergraduate students.

Since the publication of GDC guidance, there have been small, but rising numbers of Fitness to Practise (FtP) cases made against qualified dentists, relating to the use of social media. Prior to graduation, dental students currently receive training in the appropriate use of social media, but more work is needed to determine the most effective methods do this. The aim of this study is to explore the impact of the digital professionalism awareness training provided at one UK-based institution. In year 2, a "brown envelope" is compiled using an online publicly available Facebook profile search for every student. All year 2 to 5 dental undergraduate students at one UK dental school who had completed the "brown envelope" were invited to participate in focus groups to examine its impact on behaviour change. A qualitative framework analysis method was applied to the transcripts. Eleven dental undergraduate students participated in two focus groups. All students had experienced the "brown envelope" intervention. Four main themes emerged, including: a clear expression of dental student autonomy and rejection of regulation; that online activity in dentistry is different to medicine; that the intervention is useful and changed online behaviour; and constructive suggestions for improving training. The interactive "brown envelope" intervention for digital professionalism awareness training was well received and appeared to result in actionable behavioural change on student profiles (eg alterations in privacy settings or restricting access to their own "friends lists").

The influence of friendship on migraine in young adolescents: A social network analysis.

The current study explored whether the chances of having migraine are influenced by a youth's friendship with a migraineur. The study was centered on a community-based non-referral cohort of eighth graders from two middle schools in Taiwan. Among the 642 recruited adolescent students, 610 (95%) (mean age 14.1 years, male ratio 51.2%) nominated three good friends and completed a validated headache questionnaire for migraine diagnosis at the follow-up survey 1 year later. To explore social influences on incident migraine, we used longitudinal statistical models to examine whether the development of migraine in one adolescent during the 1-year observational period was associated with that in his/her friends. Overall, 1700 social ties were established in the social network based on the reported lists of good friends. Randomization test for the homophily effect demonstrated that the students with migraine tended to cluster together in the social network even when those with incident migraine were also considered (p = 0.003). Besides, when friendship choices were mutual, the relative risk of an adolescent becoming a migraineur was 3.26 (95% CI: 1.25-8.47, p = 0.015) if his/her friend became a migraineur (induction) during the 1-year observational period. To the best of our knowledge, this is the first study to demonstrate that migraine may spread through social networks in young adolescents. Both homophily and induction effects are possibly contributory.

Using the Interpersonal Relationship Communication Approach to Assess Language Dominance in both Written and Oral Communication among Multilinguals

Copious research works have attempted to assess language dominance among bilinguals. However, very little empirical research has been conducted to determine the concept among multilingual by using interpersonal relationships communication domains such as families, friendships, and acquaintances. This is crucial because the choice of language use between two interlocutors in any domain depends on the level of social relation that exists between them. Therefore, this current study aims to determine language dominance for oral and written communication at different domains of interpersonal relationships such as family, friends, and acquaintance. Each domain size was used as a proxy to measure language dominance among different groups of multilingual living in the Southern part of India. As part of this study, a structured sociolinguistics questionnaire that probes the use of the Facebook Friend Lists feature was adopted to determine each domain size and language use in each domain. The questionnaire was administered among forty-three multilingual postgraduate students. The result showed that the dominant language for oral and written communication in the entire geographical setting is the first language (L1) and English, respectively. This suggests that the interpersonal relationship communication approach is practical to determine language dominance in a community.

A Social-Aware P2P Video Transmission Strategy for Multimedia IoT Devices

With the growing popularity of social network and video sharing services, video sharing behaviors have become increasingly socializing. People can produce and share high-quality videos at any time and place using high-speed mobile networks and multimedia IoT devices, e.g., Android Things and smart TV Boxes. The multimedia IoT devices require higher bandwidth, memory, and computing resources to process and transmit multimedia contents such as audio, video, and image. In this paper, we propose a social-aware P2P video transmission strategy for multimedia IoT devices. In the proposed architecture, multimedia IoT devices are communicated using a peer-to-peer network. The peers in our work are represented by multimedia IoT devices with user interactions. Since users have their own friend list, the social links can be classified into different priority classes in accordance with their social relationships, e. g., family, friends, and others. The proposed strategy adopts weighted fair queue (WFQ) for P2P video transmission according to different queuing priority classes. Each priority class is given a weighted factor according to social relationship, current download progress, and mutual resource sharing contributions. By leveraging the inherent trust associated with social links, the proposed strategy can reduce the impact of free riders and give users good video sharing and watching experiences with multimedia IoT devices.