Linked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and...
With the popularization of 5G communications, the scale of social networks has grown rapidly, and the types of messages have become increasingly complex. The rapid increases in the number of access nodes and the amount of data have put a greater burd...
Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social network’s contents and...
Measles resurgence threatens elimination achievements in the Americas. We conducted a nationwide analysis of Mexico’s 2025–2026 measles outbreak, integrating individual-level surveillance data from the Special Surveillance System for Febr...
Social capital influences community disaster preparedness, response, and recovery. In 2020, Kyne and Aldrich introduced the Social Capital Index (SoCI), a pioneering, publicly available county-level measure capturing bonding, bridging, and linking so...
This study investigates how born-digital memes about high-profile events can serve as rich archival resources for understanding contemporary cultural phenomena and public sentiment by using a linked-data framework. Using a mixed-method approach, this...
While extensive research has gone into demand response techniques in data centers, the energy consumed in edge computing systems and in network data transmission remains a significant part of the computing industry’s carbon footprint. The industry al...
The Solid specification aims to empower data subjects by giving them direct access control over their data across multiple applications. As governments are manifesting their interest in this framework for citizen empowerment and e-government services...
Recent developments in the fields of computer science, such as advances in the areas of big data, knowledge extraction, and deep learning, have triggered the application of data-driven research methods to disciplines such as the social sciences and h...
The amount of available information in the digital world contains massive amounts of data, far more than people can consume. Beekeeper AG provides a GDPR-compliant platform for frontline employees, who typically do not have permanent access to digita...
Inequalities in the provision of public transport and the accessibility of both public transport services and key facilities can impact wellbeing and increase social exclusion. This study explores the relationship between the provision of public tran...
The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents...
Literature on social capital has long considered whether and how social capital is protective against various risk behaviors, including age at sexual debut. However, much of this literature uses data from wealthy countries in the Global North and is...
The aim of this study is to disclose the social factors of sustainable development goals by exploring the links between three types of social capital (bonding, bridging and linking) and food security in Kibera, an informal settlement located in Nairo...
Bonding, bridging and linking social capital can be a useful mechanism to promote sustainable development in low-income countries. Social capital typologies vary spatially, with the rural poor having a specific combination. Similarly, bonding, bridgi...
Many cities lack complex spatial databases that can answer the question “What does a given green space offer?” This complicates the lives of inhabitants, planners, and local authorities. One of the ways to obtain a complex picture of urba...
Attempts to discover knowledge through data are gradually becoming diversified to understand complex aspects of social phenomena. Graph data analysis, which models and analyzes complex data as graphs, draws much attention as it combines the latest ma...
27 January 2022
The use of social prescribing interventions for common mental health issues is expanding as clinicians seek to diverge from the traditional medical model of treatment. This intervention allows for the referral of patients to a nonclinical social acti...
The digital era has brought a number of significant changes in the world of communications. Although technological evolution has allowed the creation of new social event platforms to disclose events, it is still difficult to know what is happening ar...
This study examined how social media (Twitter and LinkedIn) relates to the operating revenue by investigating the effect of the use of social media by the board of directors. To tackle this question, we analyzed the mediating and moderating relations...
23 November 2020
No systematic review has appeared so far synthesizing the evidence regarding multimorbidity and loneliness, social isolation, or social frailty. Consequently, our aim was to fill this gap. Three electronic databases (PubMed, PsycINFO, and CINAHL) wer...
The goal of this work is to evaluate a deep learning algorithm that has been designed to predict the topological evolution of dynamic complex non-Euclidean graphs in discrete–time in which links are labeled with communicative messages. This type of g...
4 January 2026
Despite the increasing number of social media users and the advantages linked to agility in other areas, the implementation of agility within a social media framework remains unexamined. This study aims to examine how perceived social media agility i...
Social interactions are a very important component in people’s lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore...
The social influencer integrated marketing strategy, which builds social influencers through potential users, has gained widespread attention in the industry. Traditional Scoring Link Prediction Algorithms (SLPA) mainly rely on homogeneous network in...
Following cancer treatment, individuals experience a range of physical, mental and social health difficulties that interfere with their ability to resume participation in pre-cancer activities. In Ireland, the National Cancer Strategy recommends comm...
Data from the Millennium Cohort Study (UK) were examined to assess the correlates of anti-social and risky behaviour among adolescents. Over 10,000 seventeen-year-olds were asked about their participation in anti-social or risky behaviours. For SES (...
The fact that many mountain communities, including Tengger in Indonesia, face multiple socioecological vulnerabilities, has become a particularly important concept in the context of sustainable development. This paper attempts to analyze how bonding,...
This mixed-methods community-based participatory research project is set in the rural coastal community of Minamisanriku, Miyagi. Ten years after the 2011 Great East Japan Earthquake, this study investigates whether and to what extent social capital...
The use of online social networks has become a standard medium of social interactions and information spreading. Due to the significant amount of data available online, social network analysis has become apropos to the researchers of diverse domains...
This longitudinal, quantitative study contributes to the debate on technology-based professional development by examining the extent to which a learning (LinkedIn) intervention in a university setting affects an individual’s social media use for prof...
Link prediction is recognized as a crucial means to analyze dynamic social networks, revealing the principles of social relationship evolution. However, the complex topology and temporal evolution characteristics of dynamic social networks pose signi...
The present context, with an ongoing pandemic situation, war and climate change, seems to play a critical role in both the peoples’ perception of their quality of life, and the acquisition and development of social and emotional competencies. I...
Predicting new links in complex networks can have a large societal impact. In fact, many complex systems can be modeled through networks, and the meaning of the links depend on the system itself. For instance, in social networks, where the nodes are...
This study examines the relationship between Corporate Social Responsibility (CSR) and Socially Responsible Behaviors (SRBs), with a focus on the mediating effect of Meaningfulness of Work (MOW). Based on cue consistency theory and sensemaking theory...
The trend towards socialization, personalization and servitization in smart manufacturing has attracted the attention of researchers, practitioners and governments. Social manufacturing is a novel manufacturing paradigm responding to this trend. Howe...
27 September 2022
Participation in gateball sports may improve the well-being of older individuals in the context of active aging. However, the mechanisms of the effect need a social viewpoint. A random sample of 337 valid data points was gathered from seven cities in...
Social media platforms produce extensive user–item interaction data that demand advanced analytical models for effective personalization. This study investigates the link prediction task within social recommendation systems using Graph Neural N...
Social behavior is a basic domain affected by several neurodevelopmental disorders, including ASD and a heterogeneous set of neuropsychiatric disorders. The SCRIB gene that codes for the polarity protein SCRIBBLE has been identified as a risk gene fo...
Objectives: Prior research has found that social anxiety and intolerance of uncertainty (IU) are both related to problematic smartphone use (PSU) severity. However, research about the mediating effect of IU from social anxiety to PSU is limited. Meth...
In recent years, social network analysis has had its own distinctive theoretical and methodological underpinnings. This article proposes a novel method for the application of a fused mixed-methods approach and social network analyses that incorporate...
Social media use is associated with poor sleep outcomes. We aimed to extend previous research by examining how measures of social media use would affect two sleep characteristics: sleep quality and insomnia symptoms. In addition, we tested a serial m...
Companies are increasingly using social media to communicate with stakeholders. During the last decade, social media started to become part and parcel of contemporary lifestyles. Thus, the main purpose of this research was the investigation of the im...
30 July 2021
In this paper, we focus on a Bayesian network s approach to combine traditional survey and social network data and official statistics to evaluate well-being. Bayesian networks permit the use of data with different geographical levels (provincial and...
The aim of this discussion paper is to raise awareness of the conceptual and practical limits of mainstream practices in social measurement and to suggest possible directions for social indicator construction, in view of effectively supporting polici...
Based on the 2017 data from the China General Social Survey (CGSS), the conditional process analysis method was used to explore the relationship between physical exercise and subjective well-being, as well as the mediating effect of social capital an...
This article related crime rates to social risk factors and to the feeling of insecurity in Spain. The first finding of this study, financed by National I + D Plan CSO2016-77549-P, AEI-FEDER, was the direct relation between crime rates and some socio...
The paper presents the results of analysis conducted to empirically establish the role of social network in smallholder farmers’ decision to join seed producer cooperative, in Hararghe, Oromia, Ethiopia. We used a ‘random matching within...
Background: As people age, their physical functions decline, and changes in social roles and life experiences put older adults at a higher risk of social isolation. Methods: In this study, we employed both snowball and purposive sampling techniques t...
In parallel with their counterparts in neighboring countries, specifically Slovakia, the Czech Republic, and Poland, Hungarian university students also exhibit a high level of involvement in internet activities, particularly within the realm of onlin...
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