Types Of Social Behavior Research Articles

In-Depth Research on the Behavioral Impact of Violence-Oriented Cartoons among Children

One significant experience in children's early life is watching cartoons. This activity has a significant impact on a variety of variables, including kids' behavioral and cognitive development. This study focuses on school-age children, namely those in the 4–13 age range. This study focuses on the effects of the Violence-Oriented Cartoons channel on children's entire development, including language, motor, social learning, social cognitive, and moral development. 500 samples from various ages of children’s Group A and Group B were gathered for this investigation. This study aims to investigate the behavioral and emotional effects of exposure to violence-oriented cartoons on children. In particular, it aims to evaluate the effects of this type of social behavior, aggressiveness levels, attention span, emotional reactions, and the desensitization of violence in comparison to nonviolent cartoons. Using a sample of 500 children, 200 were exposed to non-violence-oriented cartoons and 300 were exposed to violence-oriented cartoons. The study used two groups. The study highlights that children who watched violent cartoons showed significantly higher levels of aggression, lower social behavior, shorter attention spans, increased desensitization, and stronger negative emotional responses than children who watched nonviolent cartoons. Study finds the importance of careful consideration of children's media content and suggests the potential benefits of limiting exposure to violent imagery in cartoons.

High species richness of sheep-grazed sand pastures is driven by disturbance-tolerant and weedy short-lived species.

We selected 15 sheep-grazed sand pastures along a gradient of increasing grazing intensity to study the fine-scale patterns of main biomass fractions (green biomass, litter) and that of plant species and functional groups (life forms and social behaviour types). We classified them into five grazing intensity levels based on stocking density, proximity to drinking and resting places and the number of faeces. We aimed to answer the following questions: (i) How does increasing intensity of sheep grazing affect the amount of green biomass, the species richness and their relationship in sand pastures? (ii) How does increasing intensity of sheep grazing affect the biomass of perennial and short-lived graminoids and forbs? (iii) How does the disturbance value-expressed in the biomass ratio of disturbance-tolerant and ruderal species-change along the gradient of grazing intensity? A unimodal relationship between green biomass and species richness was detected; however, the ordination (canonical correspondence analysis, CCA) showed no clustering of pastures subjected to the same levels of grazing intensity. Along the grazing intensity gradient we found an increasing trend in species richness and significant differences in green biomass (decreasing trend), litter (decreasing trend), graminoids (decreasing trend) and short-lived forbs (increasing trend). We found an increasing amount of disturbance-tolerant and ruderal species with increasing grazing intensity. We suggest that we might need to use multiple scales for sampling and a fine-scale assessment of grazing intensity. Our findings might be instructive for pastures in densely populated regions, which are prone to the encroachment of disturbance-tolerant and ruderal species.

A Richer Vocabulary of Chinese Personality Traits: Leveraging Word Embedding Technology for Mining Personality Descriptors.

This study uses a data-driven approach to mine the distribution of personality traits among Chinese people in the Chinese social context. Based on the hypothesis of personality lexicology, word embedding technology was employed in machine learning to mine personality vocabulary from Tencent's word embedding database. More than 10,000 Chinese personality descriptors were extracted and analyzed using Gaussian Mixture Model Cluster and Hierarchical clustering analysis. The data was collected from 658 Chinese people randomly from all parts of China through an online questionnaire method. The results reveal six personality traits in the Chinese context, expanding the personality thesaurus and providing examples to illustrate each trait. The findings coincide with previous research on the five-factor model, which partially describes the personality traits of Chinese people, but does not offer a complete explanation of their typical social behavior patterns. Additionally, the study supports the notion of cultural particularity in personality traits. The approach used in this study offers a richer personality vocabulary than traditional personality mining methods, and word embedding technology captures richer semantic information in Chinese. The six Chinese personality traits identified in this study will also be used to explore how to quantify and evaluate personality traits based on word embedding and personality descriptors.

Ціннісні виміри правомірної поведінки

The article provides a theoretical and legal analysis of the definition of lawful behavior, an understanding of its criteria, types, mechanism of formation and implementation in modern circumstances. Lawful behavior as a type of social behavior is a complex process of human and law interaction. This interaction consists in the influence of law on the behavior of an individual who, guided by the value system established in his mind, chooses his own model of behavior. It is the values that form and characterize the inner world of an individual: his spiritual state, will, feelings, mind, attitude to the macrocosm. On the other hand, an individual, being in society, performing certain acts and performing specific actions, may not always be educated about their regulation by law, but is mostly able to analyze his own behavior and evaluate it in relation to the task of harming or benefiting other members of society. Lawful behavior is the basis of the legal order of modern civil society and the rule of law. It is through universal observance of lawful behavior that the state is able to perform its delegated functions realistically and optimally, and the right to realize its direct purpose. Therefore, state legal institutions, realizing that the key to their effectiveness is the ability to adopt fair laws and correct decisions that will be followed by society, should act in such a way that will maximally stimulate a lawful model of behavior. The social role of legal behavior is directly related to the social purpose of law. In the process of its implementation, the goals and objectives of legal regulation are achieved. The lawful behavior of an individual in accordance with its results and objective meaning, and is actually a right in action. Legitimate behavior is a socially beneficial activity of an individual aimed at ensuring state, legal, public and personal interests, values and goals. It is a value for the law precisely because the individual itself is a real value for it. It was found that lawful behavior is based on the following basic value elements: legal awareness and legal culture; an individual's understanding that his rights and freedoms are guaranteed by laws and can be optimally implemented in practice; freedom of choice, which enables the individual to act at his own discretion and without any interference; the presence of a special relationship between the government and the individual, when the latter is an equal partner of the state, who participates in decision-making, exercises control over the activities of the state and its institutions, as well as in other processes.

Edge effects and social behavior in three platyrrhines.

Social behavior is a key adaptation for group-living primates. It is important to assess changes to social behavior in human-impacted landscape zones to better understand the impact of anthropogenic disturbance on primate species. We investigated social behavior rate and type in three species of platyrrhines across 100 m anthropogenic edge and interior zones of a fragmented forest in Costa Rica, La Suerte Biological Research Station (LSBRS). Following results from other sites, we predicted that spider monkeys (Ateles geoffroyi), capuchin monkeys (Cebus imitator) and howler monkeys (Alouatta palliata) would show lower rates and fewer types of social behavior in forest edge compared to interior. We collected 1341 h of instantaneous focal data from 2017 to 2023 across the three monkey species. We found mixed support for our predictions, with spider and capuchin monkeys modifying some but not all aspects of social behavior across forest zones at LSBRS. Spider monkeys had lower rates of social behavior and capuchin monkeys performed different types of social behaviors in forest edge compared to interior at LSBRS. In contrast, howler monkeys did not modify social behavior. Two out of three platyrrhine species altered their social behavior when in anthropogenic edges, indicating behavioral adjustment when in human-altered habitat areas at LSBRS.

Az évjárat hatása magyar szürke szarvasmarha legelő vegetációjára 2022- és 2023-ban ― Esettanulmány

The "Szűzföld" area, managed by the Pro Vértes Public Foundation, has been managed for nature conservation and economic grazing since 1998 with Hungarian grey cattle. In the present work the vegetation data of the pasture were analysed for the years 2022-2023, in order to investigate the effect of the weather conditions in an extremely dry year (2022) and an extremely wet year (2023) using 2 × 2 m coenological records. To analyse the ecological indicators of species, we used Borhidi's relative plant ecological indicators: relative nitrogen demand (NB) and relative soil water and soil moisture (WB) scores. We also assessed the data according to Simon's conservation value categories (TVK) and Borhidi's social behaviour types (SBT). The grassland management assessment of the vegetation was based on the forage value scores of the species used by Klapp et al. The results showed no significant differences in species in the two years, but significant differences in cover values. In the year with rainfall, the proportion of accompanying species decreased, while the proportion of weeds and natural disturbance tolerant species increased. The amount of grasses and legumes increased, which are important for grassland management.

Dominance status modulates activity in medial amygdala cells with projections to the bed nucleus of the stria terminalis

The medial amygdala (MeA) controls several types of social behavior via its projections to other limbic regions. Cells in the posterior dorsal and posterior ventral medial amygdala (MePD and MePV, respectively) project to the bed nucleus of the stria terminalis (BNST) and these pathways respond to chemosensory cues and regulate aggressive and defensive behavior. Because the BNST is also essential for the display of stress-induced anxiety, a MePD/MePV-BNST pathway may modulate both aggression and responses to stress. In this study we tested the hypothesis that dominant animals would show greater neural activity than subordinates in BNST-projecting MePD and MePV cells after winning a dominance encounter as well as after losing a social defeat encounter. We created dominance relationships in male and female Syrian hamsters (Mesocricetus auratus), used cholera toxin b (CTB) as a retrograde tracer to label BNST-projecting cells, and collected brains for c-Fos staining in the MePD and MePV. We found that c-Fos immunoreactivity in the MePD and MePV was positively associated with aggression in males, but not in females. Also, dominant males showed a greater proportion of c-Fos+ /CTB+ double-labeled cells compared to their same-sex subordinate counterparts. Another set of animals received social defeat stress after acquiring a dominant or subordinate social status and we stained for stress-induced c-Fos expression in the MePD and MePV. We found that dominant males showed a greater proportion of c-Fos+ /CTB+ double-labeled cells in the MePD after social defeat stress compared to subordinates. Also, dominants showed a longer latency to submit during social defeat than subordinates. Further, in males, latency to submit was positively associated with the proportion of c-Fos+ /CTB+ double-labeled cells in the MePD and MePV. These findings indicate that social dominance increases neural activity in BNST-projecting MePD and MePV cells and activity in this pathway is also associated with proactive responses during social defeat stress. In sum, activity in a MePD/MePV-BNST pathway contributes to status-dependent differences in stress coping responses and may underlie experience-dependent changes in stress resilience.

Social networks of reintroduced Przewalski's horses in the Great Gobi B Strictly Protected Area (Mongolia).

Analyzing social networks is a powerful tool for understanding the ecology of social species. While most studies focus on the role of each group member, few compare groups with different characteristics. The current population of Przewalski's horses Equus ferus przewalskii at the Great Gobi B Strictly Protected Area (Mongolia) includes groups of wild-born and captive-bred individuals with different experiences with the area (acclimatizing, long-term reintroduced, and wild-born), therefore serving as an ideal natural behavioral lab. We filmed 11 groups for 141.5 hours in summer 2018 (July), late spring 2019 (May, June), and autumn 2019 (September, October). Affiliative and agonistic interactions were recorded, and social networks were created. We tested the influence of origin, experience, season, sex, age, relative time belonging to the group, relatedness, and dominance rank on different network indices at the individual and group levels. We found that groups with greater experience in the area are generally better connected than members of the newly formed groups. However, these strong networks were created by wild-born individuals with very low interaction rates. On the contrary, inexperienced groups composed of captive-bred individuals displayed many interactions but created weak social networks. The results show a trend of behavioral transition from acclimatizing through long-term reintroduced to wild-born groups, supporting that the newly formed groups of released Przewalski's horses need time to display the typical social behavior patterns of wild-born individuals. Long-term monitoring of released Przewalski's horses is recommended to promote the success of this reintroduction program.

Small area and low connectivity constrain the diversity of plant life strategies in temporary ponds

AbstractAim(i) To determine whether area and connectivity of temporary ponds can predict plant species diversity, and the diversity and abundance of different plant life histories; (ii) To explore whether pond connectivity with the river prior to river regulation predicts better plant diversity patterns than current pond connectivity, suggestive of possible effects of connectivity loss.LocationEastern Carpathian Mountains, Romania, Europe.MethodsWe fitted linear and generalized linear models (LM and GLM) to examine whether pond area and current distance from the Olt River predict plant species richness, Shannon diversity and relative cover of different social behaviour types and overall plant species richness and Shannon diversity. Using historical maps, we measured pond distance from the river ca. 60 years before the Olt River was regulated, and we refitted the LM and GLM models using pond area and past distance from the river as independent variables.ResultsTotal plant species richness increased with pond area, and it decreased with the distance from the river, but total plant Shannon diversity index was affected, positively, only by pond area. The strength of responses to pond area and connectivity of species richness, Shannon diversity and relative cover varied across the different social behaviour types. Past and current distances between ponds and riverbeds had similar effects on plant diversity, with some evidence for stronger effect of the present connectivity on specialist species Shannon diversity and a weaker effect on disturbance tolerants, generalists and competitors.Main ConclusionsPond area and connectivity with the landscape are important predictors of the diversity of plant life history strategies, and therefore, useful tools in pond conservation. Consistent species richness and Shannon diversity responses of wetland specialists to pond area and connectivity make this life history type well suited for monitoring pond condition.

The effect of intraperitoneal and intra-RMTg infusions of CTAP on rats’ social interaction

Social interaction is necessary for the development of individuals and society. Social interaction behaviors are rewarding. Similar to exogenous opioids, social interaction behaviors are able to induce rewarding effects that are regulated by the endogenous opioid system as well. As one type of opioid receptor, μ-opioid receptors (MORs), are densely expressed in the rostromedial tegmental nucleus (RMTg), which results in the RMTg being extremely sensitive to rewarding effects induced by exogenous and endogenous opioids. Here, we investigated how RMTg MORs played a role in rewarding effects induced by social interaction behaviors of male Wistar rats, using a conditioned place preference (CPP) model. Results showed that the CPP induced by social interaction behaviors was inhibited when the function of MORs was blocked via injecting CTAP (a selective MOR antagonist) intraperitoneally, and intra-RMTg injections of lower doses of CTAP affected the CPP in the same way. In addition, injecting CTAP intraperitoneally significantly inhibited the expression of pouncing behavior, while intra-RMTg injections of CTAP significantly inhibited the expression of all three types of social behaviors. These results suggest that RMTg MORs may be a crucial target and remain to be further explored in order to better understand the mechanism of the rewarding effects of social interaction behaviors.

Goal Orientation in Music Composition and Other Social Behaviors Leading to the Common Quantitative Law

The power-law distribution is ubiquitous and common in many natural, engineering, and social systems. In this article, we found that goal orientation is the driving reason on the power-law distribution in typical social behaviors. A unified model is constructed to formulate the goal orientation mechanism in many social systems. Three mathematical characteristics of tonal music melody are found based on music composition theory. The constrained entropy maximization model (CEMM) is constructed, and the power-law distribution of melodic intervals is the result of solving the problem formulated in this model. Three other typical power-law models in economics, linguistics/informatics, and design of complex engineering systems are reviewed, and their goal orientation behaviors are analyzed. It is found that the models quantifying different social behaviors with goal orientation are consistent with the unified model. The power law is actually the result of the well-known social distribution mechanisms with limited resources, such as the maximal wealth with limited economic capability, the minimal cost under constrained resources, and the maximal entropy with restrictions. If without limit or constraint, these social systems would not observe the power law. This finding could inspire the study on other common laws in computational social systems.

The Influence of Robot Social Behaviors on Second Language Learning in Preschoolers

The use of social robots has flourished in the educational field. Using them in education appropriately entails considering whether robot social behaviors influence language learning outcomes and have additive influences on the outcomes of language learning. In this study, we used a social robot (i.e., Alpha Mini) to teach Chinese preschool children (N = 83, recruited from a preschool; aged 6–7 years) new English words; it had the pitch of a human boy, and the words’ referents were displayed on a tablet. During one learning session, the robot demonstrated one of several types of social behavior: verbal behavior (i.e., asking children to look at this robot), gestural behavior (i.e., pointing to the word’s referent), both verbal and gestural behaviors, and control (i.e., purely saying target words to the children). Children were randomly assigned to one of four conditions. Their vocabulary learning outcomes were measured by pre- and posttests of the children’s vocabulary of the target words. Our results show that the learning outcome in each type of social behavior was greater than zero, suggesting that any type of robot social behavior benefits word learning. Importantly, when robot social behavior included verbal demonstrations, the preschoolers learned more vocabulary than when the robot displayed other social behaviors (i.e., control and gestural behavior); however, gestural behavior showed no greater learning outcomes than the control condition. Hence, the efficacy of robot tutoring in preschoolers’ second language learning depends upon a robot’s social behavior, and social verbal behavior is the most effective behavior in increasing learning gains. Therefore, to achieve better learning outcomes, social verbal behavior should be critically considered to enhance robots’ tutoring function.

Phase transition in the majority rule model with the nonconformist agents

Independence and anticonformity are two types of social behaviors known in social psychology literature and the most studied parameters in the opinion dynamics model. These parameters are responsible for continuous (second-order) and discontinuous (first-order) phase transition phenomena. Here, we investigate the majority rule model in which the agents adopt independence and anticonformity behaviors. We define the model on several types of graphs: complete graph, two-dimensional (2D) square lattice, and one-dimensional (1D) chain. By defining p as a probability of independence (or anticonformity), we observe the model on the complete graph undergoes a continuous phase transition where the critical points are pc≈0.334 (pc≈0.667) for the model with independent (anticonformist) agents. On the 2D square lattice, the model also undergoes a continuous phase transition with critical points at pc≈0.0608 (pc≈0.4035) for the model with independent (anticonformist) agents. On the 1D chain, there is no phase transition either with independence or anticonformity. Furthermore, with the aid of finite-size scaling analysis, we obtain the same sets of critical exponents for both models involving independent and anticonformist agents on the complete graph. Therefore they are identical to the mean-field Ising model. However, in the case of the 2D square lattice, the models with independent and anticonformist agents have different sets of critical exponents and are not identical to the 2D Ising model. Our work implies that the existence of independence behavior in a society makes it more challenging to achieve consensus compared to the same society with anticonformists.

Experimental effects of social behavior on well-being.

Subjective well-being is characterized by relatively frequent positive emotions, relatively infrequent negative emotions, and high life satisfaction. Although myriad research topics related to subjective well-being have been explored - from how it should be measured to how it affects physical health - a key finding is that social connections are crucial. Researchers are therefore increasingly exploring whether subjective well-being can be improved through interventions that encourage specific types of social behaviors, including prosociality, gratitude, extraversion, and brief social interactions. We review this recent work, highlighting potential behavioral and psychological mechanisms underlying the effectiveness of such interventions, along with their boundary conditions.

Convergence on reduced aggression through shared behavioral traits in multiple populations of Astyanax mexicanus

BackgroundAggression is observed across the animal kingdom, and benefits animals in a number of ways to increase fitness and promote survival. While aggressive behaviors vary widely across populations and can evolve as an adaptation to a particular environment, the complexity of aggressive behaviors presents a challenge to studying the evolution of aggression. The Mexican tetra, Astyanax mexicanus exists as an aggressive river-dwelling surface form and multiple populations of a blind cave form, some of which exhibit reduced aggression, providing the opportunity to investigate how evolution shapes aggressive behaviors.ResultsTo define how aggressive behaviors evolve, we performed a high-resolution analysis of multiple social behaviors that occur during aggressive interactions in A. mexicanus. We found that many of the aggression-associated behaviors observed in surface-surface aggressive encounters were reduced or lost in Pachón cavefish. Interestingly, one behavior, circling, was observed more often in cavefish, suggesting evolution of a shift in the types of social behaviors exhibited by cavefish. Further, detailed analysis revealed substantive differences in aggression-related sub-behaviors in independently evolved cavefish populations, suggesting independent evolution of reduced aggression between cave populations. We found that many aggressive behaviors are still present when surface fish fight in the dark, suggesting that these reductions in aggression-associated and escape-associated behaviors in cavefish are likely independent of loss of vision in this species. Further, levels of aggression within populations were largely independent of type of opponent (cave vs. surface) or individual stress levels, measured through quantifying stress-like behaviors, suggesting these behaviors are hardwired and not reflective of population-specific changes in other cave-evolved traits.ConclusionThese results reveal that loss of aggression in cavefish evolved through the loss of multiple aggression-associated behaviors and raise the possibility that independent genetic mechanisms underlie changes in each behavior within populations and across populations. Taken together, these findings reveal the complexity of evolution of social behaviors and establish A. mexicanus as a model for investigating the evolutionary and genetic basis of aggressive behavior.

New Identity in Modern Patriotic Cinema

The paper analyzes the construction of a new identity of citizens of the Russian Federation through modern patriotic films that form a holistic symbolic image filled with visual and verbal patterns of behavior. The results of an expert and focus group interview are given, as well as the results of an online survey on the assessment of the formation of new and transformation of old forms of identity, which strengthens or weakens the patriotic feelings of citizens after the release of the film. The stages and forms of identity change associated with the superficial preservation of old symbols, without deep meanings, the substitution of values and the displacement of some values by others are revealed. The forms and meanings of the transformation of values that affect the new meanings of identity (the identity of survival and the identity of development and realization) will also be highlighted. We pay particular attention to lexemes that highlight the features of major types of social behavior, as well as their social inclusion and evaluation of publications on patriotism on their pages in social networks. The results of a quantitative survey indicate a greater interest and attention to foreign films that influence the identity, but the features of Russian cinema are indicated, revealing additional meanings and forms of implementation in domestic cinema. There are four groups of constructing a new identity through the assessment of modern patriotic films: the first are those who watch these films with family and friends out of interest in the plot and full complicity and empathy with the characters, the second are those who watch because of fashion, the third watch them due to philistine interest, and the fourth are those who do not watch but assess (often negatively) modern patriotic films. The analysis of views on modern patriotic films of representatives of these groups in personal social networks is carried out. Conclusions are drawn about the prospects for constructing a new identity through patriotic films for children and adults, and the general mechanism for constructing a new modern identity of Russians is considered.

Resting-state functional connectivity of social brain regions predicts motivated dishonesty

Motivated dishonesty is a typical social behavior varying from person to person. Resting-state fMRI (rsfMRI) is capable of identifying unique patterns from functional connectivity (FC) between brain regions. Recent work has built a link between brain networks in resting state to dishonesty in Western participants. To determine and reproduce the relevant neural patterns and build an interpretable model to predict dishonesty, we analyzed two conceptually similar datasets containing rsfMRI data with different dishonesty tasks. Both tasks implemented the information-passing paradigm, in which monetary rewards were employed to induce dishonesty. We applied connectome-based predictive modeling (CPM) to build a model among FC within and between four social brain networks (reward, self-referential, moral, and cognitive control). The CPM analysis indicated that FCs of social brain networks are predictive of dishonesty rate, especially FCs within reward network, and between self-referential and cognitive control networks. Our study offers an conceptual replication with integrated model to predict dishonesty with rsfMRI, and the results suggest that frequent motivated dishonest decisions may require the higher engagement of social brain regions.

No faces, just body movements—Effects of perceived emotional valence of body kinetics and psychological factors on interpersonal distance behavior within an immersive virtual environment

In an immersive virtual environment, it was investigated how the perception of body kinetics contributes to social distance behavior when the facial expression and other physical properties of a social interaction partner cannot be perceived. Based on point light displays, both the subject and the social interaction partner were depicted as stick figures, both moving simultaneously in the same space. In addition, the effects of relevant psychological factors of the perceiver on social distance behavior were examined. The results were consistent with those from studies with facial expressions or realistic full-body interactants. A greater distance was maintained from characters with emotionally negative expressions of body kinetics. Stationary objects stimuli, which were also included in the study, were mostly passed closer than neutral agents. However, the results are not entirely clear and require further investigation. Depressive symptom burden and factors mainly related to anxiety and avoidance showed effects on social distance in an IVE. The CID, a test often used to assess the interpersonal distance at which a person is comfortable, correlated with that overt behavior. In summary, the results of the study provide experimental evidence that the perception of body kinetics has a similarly significant influence on the regulation of social distance as, for example, facial affect. Implementing this study in real life would be incredibly complex, if not impossible. It is interesting to see that the comparatively simple method used in this study to create and operate an immersive virtual environment turned out to be suitable for studying at least simple types of social behavior based on body movements.

Community Detection in Social Networks Considering Social Behaviors

The study of community detection in networks has drawn great attention in recent years. To find communities and to understand community semantics, both network topology and network content are utilized. Unfortunately, none of them can explain the driving factors of generating community structure with semantics, which is significant for understanding the mechanisms of community generation. Our observations on a large number of networks show that specific user social behaviors are underlying factors for the generation of community structure. We exploit four types of social behaviors that widely exist in networks, i.e., reciprocity of interactions, posting preference, multitopic preference, and temporal variation of topics. We investigate their impacts on the formation process of links and content in networks, during which communities with topics form. Our analysis shows that they are highly related to community structure. Consequently, a generative community detection model SBCD (social behavior-based community detection) is proposed by combining network topology and content, in which the above social behaviors play a core role. The model is evaluated on two real datasets. The experimental results show that SBCD outperforms state-of-the-art baselines. Finally, a case study illustrates several significant observations with respect to the proposed social behaviors.

Autism model mice develop typical social and motor behaviors after brief drug treatment

Autism model mice develop typical social and motor behaviors after brief drug treatment