Communities In Social Networks Research Articles

Поняття нікнейма: сутність, основні функції

Network name as a primary factor in self-presentation shapes the first impression of the user in the virtual world, becoming an integral component of achieving the set goal. The purpose of this article is to analyze the concept of a nickname, define its essence, highlight characteristic features, and understand its main functions. In particular, the specific character of nickname definitions in lexicographical works and scientific research papers have been studied. It has been determined that contemporary linguistic works actively discuss the issue of internet communication in general and the functioning of linguistic naming units in particular. The revised the following characteristics of nicknames highlighted by the vast majority of researchers have been identified: definition of this concept suggested in the paper is crucial for our research. Moreover, a real or fictional name, a pseudonym, an alias utilized by users for internet communication; the place of use – chats, forums, blogs; the place of communication – the global network, communication on the internet in general. Furthermore, it is important to highlight specific features of nicknames, considering that communication in social networks, chats, forums, and self-presentation in them undergo constant changes. Therefore, this article characterizes the common and distinctive features of a network name and similar onyms as the login name (loginonyms) (presented in computer discourse), an alias, pseudonym, and cryptonym (recognized in onomastics). Common features of a nickname and an alias include the ability to create an unlimited number of onyms for one person, therefore hiding the real identity and modeling a fictional one; as well as non-conventionality of the form and fictionality of the name. Similarly to login names (loginonyms), nicknames are specific types of proper names in the field of Internet communication. Moreover, cryptonym, login name (loginonym), and network name are used in written form. Additionally, the article defines the marking features of network names. Since a nickname is a multifunctional phenomenon, the functional-semantic potential of nicknames is outlined in this scientific research. As a result, it has been revealed that the functions of network names should be categorized depending on the place of their use.

Public attention to Indonesian dynastic politics: an analysis of social media networks

ABSTRACT This research aims to identify and map social networks on social media We took a dataset from as the unit of analysis. We did data mining from X to collect 19,231 Tweets, 20,023 re-tweets, and 11,890 nodes and 9466 edges. The research results concluded that the communication network map on social media X identified the Gibran node which has intermediary factors and relationships as well as the actor with the most centrality and is a link to other actors in the social media communication network X by becoming the trending topic ‘Gibran’. The communication network metrics graph also found the ‘Gibran’ account to be the actor with the most contacts on ‘X’. The ‘Jokowi’ account was the second most contacted. This research found a gap in the need to expand the analysis to different cultures or countries to understand differences and similarities in social interaction patterns. Another gap in this research exists in terms of expanding the analysis to different topics or communities to gain a broader understanding of social network dynamics.

Beyond Formal Structures: Exploring Bottom-Up Governance Dynamics in the Assyrian Community’s COVID-19 Response in Germany

This article examines pandemic governance towards migrant communities in Germany in the context of mobilisation and demobilisation of state–society relations during the COVID-19 crisis. By studying how informality is reproduced in social practices and community networks as a response to top-down governance practices in the case of Assyrians – a quintessential diaspora community that settled in Germany through various migratory waves starting from the 1960s – this article aims to explore the bottom-up dynamics of governance practices among migrant communities. The study identifies three key themes for studying bottom-up dynamics of governance: informality embedded in everyday practices in response to formal governance, particularly vaccine policies; the existence of alternative epistemologies based on mistrust towards authorities, manifested in dual narratives; and the articulation of migrant agency in navigating top-down structures. Adopting a grounded theory approach, the study utilises theoretical sampling. Data were collected from various sources, including reports, newspaper articles, official statements and press releases from migrant organisations, alongside interviews with key migrant stakeholders.

Efficient Parallel D-Core Decomposition at Scale

Directed graphs are prevalent in social networks, web networks, and communication networks. A well-known concept of the directed graph is the D-core, or ( k, l )-core, which is the maximal subgraph in which each vertex has an in-degree not less than k and an out-degree not less than l. Computing the non-empty D-cores for all possible values of k and l , a.k.a. D-core decomposition, has found versatile applications spanning social network analysis, community search, and graph visualization. However, existing algorithms of D-core decomposition suffer from efficiency and scalability issues on large graphs, because serial peeling-based algorithms are limited by single-core utilization, while skyline coreness-based methods exhibit notably high time complexity. To tackle these issues, in this paper, we propose efficient parallel algorithms for D-core decomposition by leveraging the computational prowess of multicore CPUs. Specifically, we first propose a novel algorithm that computes the D-cores for each possible k value, by exploiting an implicit level-by-level vertex removal strategy, which not only diminishes dependencies between vertices but also maintains a time complexity akin to that of sequential algorithms. We further develop an advanced algorithm by introducing a novel concept of D-shell, which allows us to curtail redundant computations by reducing the necessary k values when computing corresponding D-cores, and deriving D-cores with larger k values from the D-cores currently computed based on D-shell. Extensive experiments on ten real-world large graphs show that our algorithms are highly efficient and scalable, and the advanced algorithm is up to two orders of magnitude faster than the state-of-the-art parallel decomposition algorithm with 32 threads.

Keeping Up with the Winner! Targeted Advertisement to Communities in Social Networks

Keeping Up with the Winner! Targeted Advertisement to Communities in Social Networks

Twitter, Politics, and the Pandemic

This article examines the intersection of politics, government, and health communication in the Scottish Twittersphere during the Covid-19 outbreak. It captures two phases of the pandemic: the beginning of the health crisis, and the rollout of the vaccination programme, coinciding with the emergence of the Delta variant in Scotland. A combination of thematic, quantitative content and social network analyses is employed to identify key themes emerging from the tweets of selected government and politicians' accounts, and to explore the formation of social networks communities. The thematic analysis reveals that Twitter has primarily been used for disseminating information about the virus, preventative measures, and government interventions, with limited efforts towards public engagement. Twitter communications became increasingly partisan as the pandemic progressed, with users frequently using the crisis as a political proxy. Five major clusters were detected in the Twitter network: two highly partisan and polarised clusters; a group containing numerous news media accounts reporting on the pandemic, and two clusters focusing primarily on the vaccination programme and the provision of health information, where the First Minister and the Scottish Government operate. Implications of these findings for government and political communication in health crises are discussed.

Самопрезентация пользователя в социальных сетях и проблема коллапса контекста

This article discusses the social problems of communication in social networks that provide a platform and tools for the formation of a virtual network identity. The features of the behavior of users of social networks and the tactics of their self-presentation when constructing a personal network profile are described. It is argued that in the process of social communication, people present different versions of themselves depending on their audience and adapting their own self-presentation to the perceived values and preferences of the interlocutors. The difficulties of online communication are described, where, unlike real interaction, the user does not have the opportunity to correlate his/ her behavior with the situational context and carry out differentiated self-presentation. The problems of blurring the boundaries of public and private in social networks and the loss of information privacy, which is a necessary condition for personal freedom and autonomy, are raised. It is argued that the disclosure of private information is an important component of maintaining social relations. It is noted that currently there is a transformation of cultural norms regulating the degree of openness-closeness and publicity-privacy. The concept of "context collapse" is introduced – a situation caused by the mixing of heterogeneous audiences with different social values, norms and expectations into one homogeneous group. The strategies are proposed to overcome the negative consequences of this situation: dividing the audience into several segments, self-censorship, forcing to avoid discussing controversial topics and adapting the user's language style, suggesting a reduction in language variability. The work was based on the methods of symbolic interactionism and I. Hoffman's theory of roles, which he used to build the dramatic theory of social interaction and self-presentation in social interaction.

Parents’ attitudes toward and experiences with seeking informal mentors for their children

Supportive relationships with non-parental adult role models (akainformal mentors) are important contributors to positive development for children. Absent from research on informal mentoring relationships are studies examining parents’ role in the formation and maintenance of these relationships. In this study, we examined parents’ attitudes about and experiences with their children’s involvement in informal mentoring relationships in two phases. Participating in phase 1 were 161 parents of children enrolled in a formal mentoring program in Canada (ages 27–69, M = 40.25 years; 93.2 % female; 6.8 % male). Participating in phase 2 was a convenience sample of 425 parents in a midwestern state in the United States (ages 23–70, M = 44.95 years; 65.9 % female; 34.1 % male). Parents completed a one-time 20-minute online survey. Parents generally held positive attitudes towards informal mentors but also reported limited involvement in − and several barriers to − fostering children’s informal mentoring relationships. Barriers ranged from not wanting to be a burden on others to believing children would rather spend time with friends. Most parents reported their child had had at least one informal mentor at some point. In both phases, frequency of their child having a mentor was related to their parents having positive attitudes toward informal mentoring and to having directly asked a nonparental adult to be an informal mentor. In phase 2, parents who reported a greater sense of community and supportive social network and higher self-efficacy for facilitating mentoring relationships were more likely to have children with informal mentoring relationships. The findings have implications for including parents in efforts to increase children’s access to supportive mentoring relationships.

Local residents’ perceptions of refugees as neighbors: a qualitative analysis of community social networks, purposive guardianship, and feelings of safety

Local residents’ perceptions of refugees as neighbors: a qualitative analysis of community social networks, purposive guardianship, and feelings of safety

Risk Factors for Elder Mistreatment Among Older Korean Americans.

Using data from a sample of older Korean Americans (n = 2,150), we examined the prevalence and associated factors of physical, emotional, and financial mistreatment. Given the importance of contextual factors, we examined the effect of immigration-related (years in the U.S. and acculturation) and interpersonal/community-related (family solidarity, social network, and ethnic community social cohesion) factors in addition to sociodemographic and health-related characteristics. The rate of experiencing physical, emotional, and financial mistreatment during the past year was 3%, 37.9%, and 16.1%, respectively. Younger age and lower family solidarity were common risk factors for emotional and financial mistreatment. The experience of emotional mistreatment was also more likely among females and those with higher level of acculturation, smaller social networks, and lower ethnic community social cohesion. Chronic disease was an additional risk factor for financial mistreatment. The findings suggest targeted prevention and intervention strategies for elder mistreatment.

Web-based intervention for young adults experiencing anxiety and hazardous alcohol use: Study protocol for an 18-month randomized controlled trial.

Alcohol use and anxiety often co-occur, causing increased severity impairment. This protocol describes a randomized controlled trial (RCT) that aims to test the efficacy and cost-effectiveness of a web-based, self-guided alcohol and anxiety-focused program, compared with a web-based brief alcohol-focused program, for young adults who drink at hazardous levels and experience anxiety. It will also test moderators and mechanisms of change underlying the intervention effects. This RCT will be conducted with a 1:1 parallel group. The study will be a web-based trial in Australia. Individuals aged 17-30 years who drink alcohol at hazardous or greater levels and experience at least mild anxiety (n = 500) will be recruited through social media, media (TV, print) and community networks. Participants will be randomly allocated to receive a web-based, integrated alcohol-anxiety program plus technical and motivational telephone/e-mail support (intervention) or a web-based brief alcohol-feedback program (control). Clinical measures will be assessed at baseline, post-intervention (2months), 6months (primary end-point), 12 months and 18 months. Co-primary outcomes are hazardous alcohol consumption and anxiety symptom severity. Secondary outcomes are binge-drinking frequency; alcohol-related consequences; depression symptoms; clinical diagnoses of alcohol use or anxiety disorder (at 6months post-intervention), health-care service use, educational and employment outcomes; and quality of life. Mediators and moderators will also be assessed. Efficacy will be tested using mixed models for repeated measures within an intention-to-treat framework. The economic evaluation will analyze individual-level health and societal costs and outcomes of participants between each trial arm, while mediation models will test for mechanisms of change. This will be the first trial to test whether a developmentally targeted, web-based, integrated alcohol-anxiety intervention is effective in reducing hazardous alcohol use and anxiety severity among young adults. If successful, the integrated alcohol-anxiety program will provide an accessible intervention that can be widely disseminated to improve wellbeing of young adults, at minimal cost.

Where Do They Come From and Where Do They Go? Socioeconomic Patterns in Dog Acquisition and Rehoming.

This research examines the ways people acquire dogs in the US as well as the ways the dogs leave the household and the way these differ by income level in seven geographically diverse study communities. A web-based panel survey was distributed and received 6318 responses. Individuals were asked a series of demographic and socioeconomic questions as well as how they acquired their current dogs, how previous dogs left their household, and where they left to. The results indicate that the likelihood of acquiring a dog through friends and family decreased monotonically as income increased, while the opposite was observed for adopting and purchasing a dog. The likelihood of giving a dog away to a friend or family member also decreased as income increased, as opposed to shelter surrender-a person earning over USD 100,000 annually was more than four times likelier to surrender to a shelter than a person earning under USD 15,000. The results suggest a stronger reliance on informal social networks in lower-income communities for both obtaining and placing dogs. As these dogs would otherwise end up in the shelter system, animal shelters may support low-income pet owners to help keep their dogs within their community of care.

A novel three-phase expansion algorithm for uncovering communities in social networks using local influence and similarity in embedding space

Community detection can help uncover and understand complex networks’ underlying patterns and structures. It involves identifying cohesive groups with similar entities while being separated from other groups. Social networks are a prime example of an area where community detection is particularly relevant, as it can provide insight into the behaviors of individuals. Several community detection methods have been proposed, each addressing the problem from different perspectives. However, the rise of vast and intricate networks from diverse domains has necessitated the development of community detection methods that can effectively handle large-scale graphs. This study introduces a novel three-phase expansion algorithm for community discovery based on nodes’ local information and similarity in embedding space. The proposed model consists of three steps. In the first stage, we generate an embedding space in which nodes are represented as vectors, and we extract nodes that greatly influence others and have an extraordinary ability to create communities using degree centrality measures. Then, based on cosine similarity in the embedding space, we group the most similar nodes to the influential ones in the same community and create an initial community structure. In the last phase, we extract the weak communities from the initial community structure generated in the second phase and merge them with the strong ones. We conduct extensive experiments on both real-world and synthetic networks to demonstrate the effectiveness of our proposal. The experimental results show that the proposed algorithm performs better than other widely used algorithms and is highly reliable and efficient in large-scale graphs.

Content and structure based attention for graph node classification

Graph-structured data is ubiquitous in real-world applications, such as social networks, citation networks, and communication networks. Graph neural network (GNN) is the key to process them. In recent years, graph attention networks (GATs) have been proposed for node classification and achieved encouraging performance. It focuses on the content associated on nodes to evaluate the attention weights, and the rich structure information in the graph is almost ignored. Therefore, we propose a multi-head attention mechanism to fully employ node content and graph structure information. The core idea is to introduce the interactions in the topological structure into the existing GATs. This method can more accurately estimate the attention weights among nodes, thereby improving the convergence of GATs. Second, the mechanism is lightweight and efficient, requires no training to learn, can accurately analyze higher-order structural information, and can be strongly interpreted through heatmaps. We name the proposed model content- and structure-based graph attention network (CSGAT). Furthermore, our proposed model achieves state-of-the-art performance on a number of datasets in node classification. The code and data are available at https://github.com/CroakerShark/CSGAT.

On your own, together: Regional perspectives on community resource-sharing for disaster preparedness in Washington state

ABSTRACT When disasters isolate communities from external support, their members must turn to each other for mutual assistance. This study explores (1) resource management, (2) information sharing, and (3) community leadership and civic participation as dimensions of peer-to-peer sharing for more efficient distribution of local resources under “islanded” conditions. Interviews with members and leaders of three neighborhood-scale communities in Washington state revealed concerns about household preparedness and stockpiling of resources, but also the potential to lever individuals’ community knowledge, social networks, and willingness to participate. Future interventions might include enhancing place-based social infrastructure for resource and information sharing; online local databases and applications that normally maintain privacy but “unlock” important household information for community use in emergencies; and programs that help individuals access and adopt leadership and participation roles. Satisfying these requirements for successful disaster prepared ness also aligns with the goals of everyday community-building and strengthening of collective capacity.

‘Letting it be’: a grounded theory about dementia care in Fiji

Objectives This research study aimed to discover how dementia affecting older people was perceived, experienced, and managed by stakeholders in the Pacific Island country of Fiji. Method A transformational grounded theory approach was used. Semi-structured interviews and focus groups with key stakeholders in the major towns of Suva, Lautoka, and Nadi were carried out. Transcripts were analysed in line with transformational grounded theory methods. Results A total of 50 participants (40 service providers, eight family caregivers, one person with dementia, and one village elder) shared their views and experiences about dementia. A grounded theory about dementia care management was constructed. ‘Letting it be’ is the grounding socio-cultural construct that interweaves and binds together the processes of dementia care management. It expresses a compassionate approach to caring for older people with dementia that involves searching for knowledge and support, and application of traditional care practices within the strength of family and community networks. Conclusion In Fiji, support for dementia centres on the integration of community understandings, and promotion of cultural values of wellbeing and care, with service provision. It also focuses on support for families and communities through social welfare, community networks, and education.

THE PSYCHOLOGICAL IMPACT OF VIRTUAL SOCIAL NETWORKS ON YOUNG PEOPLE

Virtual social networks are considered as platforms for communication, education and business, their positive and negative impact on young people. Social networks are successfully attracting more and more users, while for young people, communication in virtual social networks is an important part of socialization. It is becoming increasingly popular to use social networks to accumulate and transfer knowledge in the process of learning and self-education.

Impact of Internet on Social life of Students: An Overview

In this paper we discuss about impact of internet on social life of students, an overview as we all know, Internet today is widely recognized not only as a means of communication but also as a powerful tool. Internet usage among students involves not only the use of leisure time, but also their community involvement and social networking. Students are now facing major social issues like isolation, mental depression, lack face to face communication, waste of time, excessive use of social networking sites and depression. Rather it was found that children who spend more time on the internet were more likely to spend more time with other media, more time on some kind of physical activities, and were more socially involved. The study recommends that as the internet is regarded as an in separable part of human life, students should conscious of using the internet. Internet represents the greatest collection of human knowledge and has enabled many communications in the world to manage communication and solve problems. Internet usage will become addicted and more likely to ha-case negative and less support in learning activities. So using the Internet for social media as much as, use for online gaming activity, while utilizing the Internet for watch you tube, rarely use the Internet to learn and seek information.

THE IMPORTANCE OF USER-GENERATED CONTENT IN TOURISM EVENTS FOR CREATING ENGAGEMENT

Objective: The objective of this study is to investigate engagement with the aim of knowing the impact that user-generated content has on it.
 
 Theoretical Framework: Laroche et al. (2012) revealed that social networking communities promote shared awareness, society's obligation, rites and traditions, trust, and customer loyalty. A year later, Brodie et al. (2013) specified the reach of consumers in online participation suggesting that consumers with a good level of engagement present greater loyalty.
 
 Method: The methodology adopted for this research comprises Extensive field work was carried out by administering a questionnaire to tourists who visited the events during the holiday week. Data collection was carried out through questionnaires and social network studies.
 
 Results and Discussion: The results obtained revealed the strong relationship between variables, especially between engagement and user generated contents.
 
 Research Implications: The results may be applied and influence practices in the field of tourism and also in other fields.
 
 Originality/Value: The study makes a specific contribution to literature, because the proposed model is innovative especially with the introduction of engagement as a mediator variable, as well as to use and compare two methodologies, questionnaires and Twitter, for the same tourism event.

Влияние социальных сетей на развитие политических коммуникаций в новой цифровой реальности

The article analyzes the aspects and problems of the influence of social networks on the development of politi-cal communications in the new digital reality. The concept of social networks is introduced, aspects of their im-pact on political communications and processes are characterized. Separately, the possibilities of the positive influence of social networks on the development of political communications in the new digital reality are re-vealed, and new threats and risks are also examined. Considering the factor of Russia’s involvement in a hy-brid, including informational, war with the collective West, a typology of social networks is proposed, including the criteria for blocking and possible reserves of popularity of political communications. The influence of differ-ent types of social networks and the factor of their blocking on the features and risks of political communica-tions is revealed, the specifics of communication activity in social networks with increasing and decreasing popularity are analysed. The mechanisms of political communications in the most preferred social networks for this are shown – VKontakte and Telegram. The necessity of activation of political communications aimed at young audience in TikTok, as well as on the basis of serious longreads on the platform “Zen” is argued. Measures are proposed for organizing political communications in social networks, including taking into ac-count the risk factors of outsourcing.