Network Anonymity and Cyberbullying among Chinese Adolescents: A Moderated Mediation Model

Cyberbullying is an important issue which prevails among children and adolescents. The present study aimed to investigate the association between network anonymity and cyberbullying behavior and examine the mediating role of network morality and the moderating role of self-control in the linkage of network anonymity and cyberbullying behavior. A total of 620 participants were recruited from three high schools in southeast China and were required to complete a questionnaire measuring network anonymity, cyberbullying behavior, network morality, and self-control. A moderated mediation model was conducted by using PROCESS Macro for SPSS 3.5. The results showed that network anonymity was negatively associated with cyberbullying behavior among Chinese adolescents. Network morality mediated the association and self-control moderated the indirect association between network anonymity and cyberbullying behavior via network morality. These findings indicate that improving the network morality and self-control of adolescents with the joint efforts of individuals, families, government, and society as a whole may be an effective intervention strategy for cyberbullying behavior under the framework of digital citizens.

Measuring coordinated versus spontaneous activity in online social movements

Social media platforms provide people all over the world with an unprecedented ability to organize around social and political causes. However, these same platforms enable organized actors to engineer fabricated social movements to advance their agenda. Such movements leverage a variety of tools and techniques, ranging from simple spam operations to sophisticated efforts involving numerous orchestrated accounts coordinated across linguistic and cultural clusters. While the former category is straightforward to analyze via data mining methods, campaigns in the latter category are engineered to mask their true nature from the public. We build on existing work to formalize a framework to detect coordination phenomena in the second category, based on anomalies in three key dimensions of participant behavior: network, temporal, and semantic. We test this framework on three case studies and find that, in all three cases, the framework enables us to detect coordination as behavioral anomaly.

Neuroendocrine Mechanisms Underlying Non-breeding Aggression: Common Strategies Between Birds and Fish

Aggression is an adaptive behavior that plays an important role in gaining access to limited resources. Aggression may occur uncoupled from reproduction, thus offering a valuable context to further understand its neural and hormonal regulation. This review focuses on the contributions from song sparrows (Melospiza melodia) and the weakly electric banded knifefish (Gymnotus omarorum). Together, these models offer clues about the underlying mechanisms of non-breeding aggression, especially the potential roles of neuropeptide Y (NPY) and brain-derived estrogens. The orexigenic NPY is well-conserved between birds and teleost fish, increases in response to low food intake, and influences sex steroid synthesis. In non-breeding M. melodia, NPY increases in the social behavior network, and NPY-Y1 receptor expression is upregulated in response to a territorial challenge. In G. omarorum, NPY is upregulated in the preoptic area of dominant, but not subordinate, individuals. We hypothesize that NPY may signal a seasonal decrease in food availability and promote non-breeding aggression. In both animal models, non-breeding aggression is estrogen-dependent but gonad-independent. In non-breeding M. melodia, neurosteroid synthesis rapidly increases in response to a territorial challenge. In G. omarorum, brain aromatase is upregulated in dominant but not subordinate fish. In both species, the dramatic decrease in food availability in the non-breeding season may promote non-breeding aggression, via changes in NPY and/or neurosteroid signaling.

A Network Analysis of Multiple Preconception Health Behaviors in Chinese Women

A healthy preconception lifestyle, consisting of multiple health behaviors, is crucial for preventing adverse health outcomes in mothers and offspring. Although inter-behavior relations may be leveraged to boost the effectiveness of lifestyle education and multiple health behavior changes, this has not been adequately explored in the existing literature. Adopting a network perspective, the present study conceptualized multiple health behaviors as a behavior network (i.e., behaviors as nodes, inter-behavior relations as edges) and utilized network analysis to investigate the patterns of interdependence of preconception health behaviors in a large sample of Chinese women. We used the data of a population-based cohort study in China to estimate the behavior network. An analytic sample included 41,127 Chinese women who were surveyed about their adoptions of multiple health behaviors during the preconception period. Network analysis revealed a relatively dense behavior network and visualized the network structure of multiple preconception health behaviors, suggesting that the behaviors were strongly interconnected. Subsequent centrality analysis identified three central behaviors (i.e., avoiding passive smoke, reducing psychosocial stress, and reducing alcohol) that had distinctively stronger connections to other behaviors within the network. This study demonstrated the applicability of the network model in multiple health behavior research. Our findings highlight the interdependence of preconception health behaviors and implicate the potential usefulness of targeting central behaviors in preconception lifestyle education.

Strategies for Vaccine Prioritization and Mass Dispensing

We propose a system that helps decision makers during a pandemic find, in real time, the mass vaccination strategies that best utilize limited medical resources to achieve fast containments and population protection. Our general-purpose framework integrates into a single computational platform a multi-purpose compartmental disease propagation model, a human behavior network, a resource logistics model, and a stochastic queueing model for vaccination operations. We apply the modeling framework to the current COVID-19 pandemic and derive an optimal trigger for switching from a prioritized vaccination strategy to a non-prioritized strategy so as to minimize the overall attack rate and mortality rate. When vaccine supply is limited, such a mixed vaccination strategy is broadly effective. Our analysis suggests that delays in vaccine supply and inefficiencies in vaccination delivery can substantially impede the containment effort. Employing an optimal mixed strategy can significantly reduce the attack and mortality rates. The more infectious the virus, the earlier it helps to open the vaccine to the public. As vaccine efficacy decreases, the attack and mortality rates rapidly increase by multiples; this highlights the importance of early vaccination to reduce spreading as quickly as possible to lower the chances for further mutations to evolve and to reduce the excessive healthcare burden. To maximize the protective effect of available vaccines, of equal importance are determining the optimal mixed strategy and implementing effective on-the-ground dispensing. The optimal mixed strategy is quite robust against variations in model parameters and can be implemented readily in practice. Studies with our holistic modeling framework strongly support the urgent need for early vaccination in combating the COVID-19 pandemic. Our framework permits rapid custom modeling in practice. Additionally, it is generalizable for different types of infectious disease outbreaks, whereby a user may determine for a given type the effects of different interventions including the optimal switch trigger.

Neural Circuits Underlying Nest Building in Male Zebra Finches

Nest building consists of a series of motor actions, which are concomitant with activity in regions of the anterior motor pathway, the social behavior network, and the reward circuity in nest building adult male zebra finches (Taeniopygia guttata). It is not clear, however, whether this activity is due to nest building, collection, and/or manipulation of nest material. To identify which areas of the brain are specifically involved, we used immunohistochemistry to quantify the immediate early gene c-Fos in male zebra finches that were nest building (Building), birds given a nest box but could interact only with tied down nest material (Fixed), and birds that were not given a nest box or nest material (Control). We investigated the following brain regions: the anterior motor pathway (anterior ventral mesopallium [AMV], AN, anterior striatum [ASt]), areas of the social behavior network (bed nucleus of the stria terminalis, dorsomedial subdivision [BSTmd], lateral septum [LS]), the dopaminergic reward circuitry (ventral tegmental area), and the cerebellum. We found that there was greater Fos immunoreactivity expression in the BSTmd, LS, and AMV with increased material deposition; in LS, AMV ASt, and Folium VI with increased material carrying; in LS, AMV, and ASt with increased nest material tucking; and in LS and all folia (except Folium VIII) with increased tugging at tied down material. These data confirm a functional role for areas of the anterior motor pathway, social behavior network, and the cerebellum in nest material collection and manipulation by birds.