Article
Information Science & Library Science
David L. L. Rodrigues, Bernardo P. P. Cavalheiro, Marilia Prada
Summary: This study examines the role of emoji in first-time interactions and how they convey intentions for relationship initiation. The findings reveal that different emoji signal distinct intentions, highlighting the importance of emoji in online interpersonal communication.
TELEMATICS AND INFORMATICS
(2022)
Article
Green & Sustainable Science & Technology
Vanessa Apaolaza, Mario R. Paredes, Patrick Hartmann, Jose M. Barrutia, Carmen Echebarria
Summary: This study explores the relationship between mindfulness and proenvironmental behavior through cognitive reappraisal and climate change awareness, and finds that nature connectedness negatively moderates this relationship.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Dong Li, Jiming Liu
Summary: Research on influence propagation models over signed social networks revealed that existing models are stochastic and descriptive, requiring a significant number of Monte-Carlo simulations which are time-consuming and not scalable. The proposed PLID model can quickly and accurately calculate user sets' influence without simulations; extensive experiments showed that the PLID model outperforms state-of-the-art methods in positive influence spread and running time.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Yinxue Yi, Zufan Zhang, Laurence T. Yang, Chenquan Gan, Xianjun Deng, Lingzhi Yi
Summary: This paper investigates the dissemination of intelligent information in social networks, introducing a new uncertain psychological state and simulating the spread in various social network datasets. Results indicate that the spread of intelligent information is influenced by the propagation threshold and may either disappear or propagate.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Shashank Sheshar Singh, Divya Srivastva, Madhushi Verma, Jagendra Singh
Summary: This paper presents a comparative survey of the state-of-the-art approaches for influence maximization (IM) algorithms. It discusses information diffusion models, algorithmic frameworks, performance metrics, and future challenges in the field.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Jana Lieberz, Simone G. Shamay-Tsoory, Nira Saporta, Timo Esser, Ekaterina Kuskova, Birgit Stoffel-Wagner, Rene Hurlemann, Dirk Scheele
Summary: Loneliness is associated with decreased trust, larger social distances, and lower trustworthiness. Lonely individuals show reduced limbic and striatal activation, as well as weakened functional connectivity between the anterior insula and occipitoparietal regions during initial trust decisions.
Article
Environmental Studies
Wiebke Bleidorn, Madeline R. Lenhausen, Christopher J. Hopwood
Summary: This study found a link between proenvironmental attitudes and behaviors, and showed that changes in attitudes can lead to changes in consumer behaviors. The relationship between proenvironmental attitudes and behaviors is moderated by individuals' life stages, rather than their perceived control.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2021)
Article
Physics, Multidisciplinary
Alessia Antelmi, Gennaro Cordasco, Carmine Spagnuolo, Przemyslaw Szufe
Summary: This work generalizes the minimum Target Set Selection problem on networks characterized by many-to-many relationships modeled via hypergraphs, introducing a linear threshold diffusion process and evaluating it on real-world networks with four heuristics.
Article
Communication
Kim Lien van der Schans, Janne Am van Kraaij, Johan C. Karremans
Summary: Converging evidence suggests that trait mindfulness is associated with interpersonal behavior and well-being. This study examined the associations between trait mindfulness, interpersonal stress, and interpersonal perceptions during stressful interpersonal tasks between strangers. The results showed that trait mindfulness was negatively associated with experienced interpersonal distress and positively associated with liking of the interaction, perceived attentiveness, and perceived coping. However, there was little support for a transfer of these effects to the experiences of interaction partners. These findings underscore the importance of studying trait mindfulness in dyadic contexts.
JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS
(2023)
Article
Family Studies
Laura M. Koehly, Sato Ashida, Sydney Sumrall, Sarah Hyman
Summary: Previous literature has shown that interpersonal strain in caregiving roles can negatively affect the health and well-being of caregivers, and interpersonal support can help alleviate this. Using a social network approach, this study examined the impact of malfeasant and nonfeasant care-related interactions and behaviors, as well as uplifting interactions and behaviors, on caregivers' perceptions of the involvement of network members in caring for a child with a rare or undiagnosed disease. The findings highlight the importance of maximizing interpersonal support and minimizing strain in caregiving situations.
JOURNAL OF CHILD AND FAMILY STUDIES
(2023)
Review
Psychology, Multidisciplinary
Benjamin A. Converse, Maura M. K. Austin
Summary: The social landscape of climate change is changing, with more people feeling climate despair and needing a reason for hope. Research shows that people feel hopeful when they see others taking action, making 'people-watching' crucial. Advertising improvements in social norms can also provide hope even when action is low.
CURRENT OPINION IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Feng Wang, Jinhua She, Yasuhiro Ohyama, Wenjun Jiang, Geyong Min, Guojun Wang, Min Wu
Summary: This study addresses and solves three challenging problems in competitive influence propagation in online social networks by designing a trust-based solution. It establishes a new competitive influence diffusion model, estimates trust values and calculates influence probabilities using generalized network flows, and develops an efficient competitive influence maximization algorithm through heuristic pruning. Extensive comparisons on synthetic and real-world datasets validate the effectiveness and efficiency of the approach.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Qian Zeng, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Jianxin Li
Summary: In modern smart cities, businesses rely on social network marketing and third-party delivery systems to serve potential customers, requiring a redefinition of business location planning. A novel influence diffusion model is proposed to simulate the spread of advertisements within geo-social networks, along with an approximation algorithm and pruning strategy to evaluate and select the optimal location. Experimental results demonstrate the effectiveness and efficiency of the approach.
INFORMATION SCIENCES
(2021)
Article
Multidisciplinary Sciences
Tuan Minh Pham, Jan Korbel, Rudolf Hanel, Stefan Thurner
Summary: The robustness of social systems has long been connected to a triangular structure in social networks, where certain types of triples of individuals are overrepresented. A new study proposes a realistic adaptive network model that mimics this structure by allowing agents to minimize social tension through updating their opinions and relations based on local information. The model successfully predicts the distribution of triangle types and explains group size distributions, which are important for social cohesion.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Business
Cheng-Jun Wang, Jonathan J. H. Zhu
Summary: The study reveals a bell-shaped relationship between social influence and information diffusion size, with large network threshold, limited diffusion depth, and intense bursts serving as bottlenecks in constraining diffusion size.