The civil society organizations networks in the Latin American region are increasingly participating in the public policy advocacy. There are many studies that address them, but they do it through more in qualitative methodological approaches but there are few analyzed from a social network analysis approach. We present a case study that analyzes the American Network for Intervention in Situations of Social Suffering (Red Americana de Intervención en Situaciones de Sufrimiento Social, RAISSS), a transnational network of civil society networks from 15 Latin American countries that work with the same meta-model, called ECO2, to promote social inclusion and public policy advocacy.

What channels can an authoritarian state employ to steer social science research towards topics preferred by the regime? I researched the Chinese coauthor network of civil society studies, examining 14,088 researchers and their peer-reviewed journal articles published between 1998 and 2018. Models with individual and time fixed-effects reveal that scholars at the center of the network closely follow the narratives of the state’s policy plans and could serve as effective state agents. However, those academics who connect different intellectual communities tend to pursue novel ideas deviating from the official narratives. Funding is an ineffective direct means for co-opting individual scholars, possibly because it is routed through institutions. Combining these findings, this study proposes a preliminary formation of authoritarian knowledge regime that consists of (1) the state’s official narrative, (2) institutionalized state sponsorship, (3) co-opted intellectuals centrally embedded in scholarly networks, and (4) intellectual brokers as sources of novel ideas.

This empirical study examines knowledge production between 1925 and 2015 in nonprofit and philanthropic studies from quantitative and thematic perspectives. Quantitative results suggest that scholars in this field have been actively generating a considerable amount of literature and a solid intellectual base for developing this field toward a new discipline. Thematic analyses suggest that knowledge production in this field is also growing in cohesion—several main themes have been formed and actively advanced since 1980s, and the study of volunteering can be identified as a unique core theme of this field. The lack of geographic and cultural diversity is a critical challenge for advancing nonprofit studies. New paradigms are needed for developing this research field and mitigating the tension between academia and practice. Methodological and pedagogical implications, limitations, and future studies are discussed.

Childhood adversity is associated with increased engagement in health risk behaviors (HRBs), such as substance use, violence, and risky sexual behaviors during adolescence, which contribute to leading causes of death and disability throughout the lifespan. Threat and deprivation are two dimensions of adversity that impact health and wellbeing through partially distinct developmental pathways, but no studies have examined if and how HRBs differ by adversity dimension. This pre-registered network analysis examined the independent associations between threat, deprivation, and adolescent HRBs using data from the 2023 Youth Risk Behavior Survey. We hypothesized that both adversity dimensions would be associated with HRBs, with stronger associations for threat compared to deprivation. Participants were U.S. high school students (N = 7,691; 52% male, 48% female). Forty-six percent were white, 26% multiple races, 12% Black, 7% American Indian/Alaska Native, 4% Asian, < 1% Native Hawaiian/Other Pacific Islander, and 20% Hispanic. Consistent with our hypotheses, network structures revealed that both threat and deprivation were associated with HRBs, the patterns of such associations varied by dimension, and the overall strength and number of HRB associations was greater for threat. Findings support the utility of dimensional models in linking childhood adversity to adolescent HRBs, with implications for research and clinical practice.

The rise of China as a global power has been a prominent feature in international politics. Simultaneously, the United States has been engaged in ongoing conflicts in the Middle East and South Asia for the past two decades, requiring a significant commitment of resources, focus, and determination. This paper investigates how third-party countries react to the United States’ preoccupation with these conflicts, particularly in terms of diplomatic co-operation and alignment. We introduce a measure of US distraction and utilize network-based indicators to assess diplomatic co-operation or alignment. Our study tests the hypothesis that when the US is distracted, other states are more likely to co-operate with its principal rival, China. Our findings support this hypothesis, revealing that increased co-operation with China is more probable during periods of US distraction. However, a closer examination of state responses shows that democracies distance themselves from China under these circumstances, while non-democracies move closer.

The clinical presentation and course of illness of older-age bipolar disorder (OABD) are highly variable. In addition, the presentation and course of bipolar disorder (BD) differ between females and males. This study aims to carry out a network analysis of older people with symptoms compatible with BD. Using a sample from the MentDis_ICF65+ study, a symptom network analysis was conducted according to gender and age in 555 people over 65 in the Community of Madrid (Spain). The network was estimated using the InsingFit package that implements a procedure called eLasso. These results reveal differences in the strength, closeness, and betweenness of the networks according to gender and for the age groups 65–74 and 75–84. Females present a network that is much more sparse, with a lower density, and consisting of two sub-networks: one composed of TALK (more talkative than usual) and RACIN (a flight of ideas, racing thoughts) and the other of PAINF (activities with painful consequences), SLEEP (the decreased need for sleep), GRAND (inflated self-esteem), and AGIT (psychomotor agitation). In the case of men, a denser network is obtained, with greater connections between all the symptoms, being the edge with greater weight than the one integrated by RACIN and GRAND. In relation to age, it is possible to observe changes in the model between the two age groups. These network differences support viewing OABD dimensionally and emphasize considering gender and age to improve understanding and personalize treatments for older adults with bipolar disorder symptoms.

Low-dimensional representation and clustering of network data are tasks of great interest across various fields. Latent position models are routinely used for this purpose by assuming that each node has a location in a low-dimensional latent space and by enabling node clustering. However, these models fall short through their inability to simultaneously determine the latent space dimension and number of clusters. Here we introduce the latent shrinkage position cluster model (LSPCM), which addresses this limitation. The LSPCM posits an infinite-dimensional latent space and assumes a Bayesian nonparametric shrinkage prior on the latent positions’ variance parameters resulting in higher dimensions having increasingly smaller variances, aiding the identification of dimensions with non-negligible variance. Further, the LSPCM assumes the latent positions follow a sparse finite Gaussian mixture model, allowing for automatic inference on the number of clusters related to non-empty mixture components. As a result, the LSPCM simultaneously infers the effective dimension of the latent space and the number of clusters, eliminating the need to fit and compare multiple models. The performance of the LSPCM is assessed via simulation studies and demonstrated through application to two real Twitter network datasets from sporting and political contexts. Open-source software is available to facilitate widespread use of the LSPCM.

Relative to the general population, autistic adults are at elevated risk for depression. Factors related to this risk are poorly understood, yet identifying such factors is important for improving mental health in autistic people. Emotion regulation (ER) challenges may be one such factor. However, few studies have examined ER challenges and depression in autistic adults. We examined ER challenges, depressive symptomatology and their associations in 775 (aged 18–83 years) autistic adults using network analysis, a method that permits identification of key components of ER and depression and their interrelatedness. Three non-regularized weighted undirected networks were estimated: ER challenges, depressive symptomatology, and combined ER-depressive challenges. Community structures revealed in the ER challenges and depressive symptomatology networks align with theoretical/nosological models of ER challenges/depressive symptoms as well as extant research using network analysis to examine these constructs. The combined ER challenges-depressive symptomatology network indicated that ER challenges and depressive symptomatology are interrelated but distinct constructs. These preliminary findings using cross-sectional data provide a first step in understanding associations between a candidate factor in depression vulnerability in autistic adults – ER challenges – and identify important future research directions.

Indo-Pacific humpback dolphins Sousa chinensis face multiple anthropogenic threats in the coastal waters of Langkawi and the adjacent Perlis–Kedah mainland in north-west Peninsular Malaysia. The area is recognized by the IUCN as an Important Marine Mammal Area and harbours a significant population of humpback dolphins. Understanding their social structure is crucial for identifying conservation units to guide targeted management to preserve the species’ ecological processes, particularly for a species in the data-deficient Southeast Asia region. Association patterns and network analysis from a decade of photo-identification surveys (2010–2020) revealed a fission–fusion society defined by frequent changes in group membership and size, and characterized by loose associations between individuals. Association strength was generally low, although some non-random long-term associations persisted for 5 months to several years. Unusually large groups of humpback dolphins (81–204 individuals) were often observed, comprising travelling mother–calf pairs and functioning as nursery groups. The grouping plasticity and social dynamics reflect the species’ survival strategies in response to local environmental conditions, notably resource availability and predation pressure. Most importantly, our findings confirm that the humpback dolphin population in this region constitutes a stable and well-connected single conservation unit, necessitating coordinated protection by different governmental administrators across the extensive study area. The insights from our study should inform tailored management strategies for humpback dolphins and promote early detection of anthropogenic threats that may impact social-ecological processes and the overall survival of the population.

Maximising creativity requires an enriched imagination that uses all five senses. This study explored the effects of a reduced visual–auditory multisensory stimuli environment on creativity. Nineteen participants took the Alternative Uses Test (AUT) under the nine decreased visual–auditory multisensory stimuli conditions. Fluency and originality were evaluated as a part of the creativity assessment. The number of ideas from the AUT determined the fluency level, and the three judges’ evaluations determined originality. A study on associative conceptual network analysis explored the word associations of selected nouns from the AUT under nine reduced visual–auditory multisensory stimuli experimental conditions, revealing outdegree centrality scores to evaluate creative potential. The results suggest that the decreasing visual stimuli inhibit fluency whereas auditory stimuli do not, and that originality is enhanced when stimuli are reduced, whether visual or auditory, unless there is a notable divergence between the visual and auditory conditions. These results highlight the importance of perceptual focus and cognitive load regulation in fostering creative potential.

This longitudinal study investigates the development and interrelation of adolescent learners’ L2 English vocabulary knowledge and extramural English (EE) input. The study examines the longitudinal development of L2 English receptive vocabulary knowledge, EE input and the dynamics between L2 proficiency and EE input. Data were collected at four time points by administering vocabulary tests and questionnaires on EE activities. Generalized additive mixed models and growth curve models indicated significant vocabulary growth, particularly in the early years of secondary school, which slowed down toward the end of the study. EE activities such as gaming, social media and reading positively predicted vocabulary development, while watching television with L1 subtitles had a negative effect. Temporal network analysis revealed reciprocal relationships, suggesting that L2 proficiency influences EE input and vice versa. The findings underscore the importance of EE in L2 vocabulary development and highlight the dynamic interplay between language learning and extramural activities.