Dominance hierarchy and social relationships in a group of Captive black-and-white snub-nosed monkeys (Rhinopithecus bietl)

Different types of dominance hierarchies reflect different social relationships in primates. In this study, we clarified the hierarchy and social relationships in a one-male unit of captive Rhinopithecus bieti observed between August 1998 and March 1999. Mean frequency of agonistic behaviour among adult females was 0.13 interactions per hour. Adult females exhibited a linear hierarchy with a reversal of 10.9%, indicating an unstable relationship; therefore, R. bieti appears to be a relaxed/tolerant species. The lack of a relationship between the agonistic ratio of the adult male towards adult females and their ranks indicated that males did not show increased aggression towards low-ranking females. Differentiated female affiliative relationships were loosely formed in terms of the male, and to some extent influenced by female estrus, implying that relationships between the male and females is influenced by estrus and not rank alone. A positive correlation between the agonistic ratio of adult females and their ranks showed that the degree to which one female negatively impacted others decreased with reduction in rank. Similarly, a positive correlation between the agonistic ratio of females and differences in rank suggests that a female had fewer negative effects on closely ranked individuals than distantly ranked ones. These data indicate that rank may influence relationships between females. A steeper slope of regression between the agonistic ratio and inter-female rank differences indicated that the extent of the power difference in high-ranking females exerting negative effects on low-ranking ones was larger during the mating season than the birth season, suggesting that rank may influence the mating success of females.

Impact of social relationship on firms' sharing reward program

In order to make strategic decision on firms’ sharing reward program( SRP), a nested Stackelberg game is developed. The sharing behavior among users and the rewarding strategy of firms are modeled. The optimal sharing bonus is worked out and the impact of social relationships among customers is discussed. The results show that the higher the bonus,the more efforts the inductor is willing to make to persuade the inductee into buying. In addition,the firms should take the social relationship into consideration when setting the optimal sharing bonus. If the social relationship is weak,there is no need to adopt the SRP. Otherwise,there are two ways to reward the inductors. Also,the stronger the social relationship,the fewer the sharing bonuses that should be offered to the inductors,and the higher the expected profits. As a result,it is reasonable for the firms to implement SRPs on the social media where users are familiar with each other.

A Comparative Study of Quality of Family, Social Relationships and Type D Personality in Cardiovascular Patients and Non-Patients

This study aims to compare the quality of family and social relationships and Type D personality in cardiovascular patients with normal people. In this research, 300 individuals (n = 150 male, 150 female) are divided in two groups of patient (n = 150) and non-patients (n = 150) were selected as samples from the author’s offices (both private and his office in Mazandaran Heart Center). They attended in this study filling the questionnaires of “Pierce Quality relations” and “Personality Inventory (DS14)”. In order to analyze data, First observations were described by the help of descriptive statistics methods including tables, graphs, and indices of central tendency and distribution. Then, observations were described by inferential statistics methods such as univariate and multivariate analysis of variance and then were analyzed by SPSS. Out of the 300 participants, 108 patients (36%) had the mean age of 52 to 63 years old and 30 patients (10%) were 30 to 40 years old. This study showed that there is a significant difference between cardiovascular patients and control group in terms of quality of family and social relationships and Type D personality (P < 0.01). Cardiovascular patients have lower quality of family and social relationships, social support, as well as lower depth of relationships, and also higher relationship conflict than normal people. Also cardiovascular patients have higher type D personality than normal people (P < 0.01). In general, research findings indicate the importance of psychological factors associated with coronary artery disease.

Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

Suicide has become a critical concern,necessitating the development of effective preventative strategies.Social media platforms offer a valuable resource for identifying signs of suicidal ideation.Despite progress in detecting suicidal ideation on social media,accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant challenge.To tackle this,we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships(TCNN-SN).This model enhances predictive performance by leveraging social network relationship features and applying correction factors within a weighted linear fusion framework.It is specifically designed to identify key individuals who can help uncover hidden suicidal users and clusters.Our model,assessed using the bespoke dataset and benchmarked against alternative classification approaches,demonstrates superior accuracy,F1-score and AUC metrics,achieving 88.57%,88.75%and 94.25%,respectively,outperforming traditional TextCNN models by 12.18%,10.84%and 10.85%.We assert that our methodology offers a significant advancement in the predictive identification of individuals at risk,thereby contributing to the prevention and reduction of suicide incidences.

Older adults’social participation and social relationship and association with partner’s cognition:a latent profile analysis

Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile analysis identified three social participation profiles(Limited overall social participation(prevalence:69%);Frequent volunteer participation(10%);Frequent non-volunteer participation(21%)),and three social relationship profiles(Social support from all relationships(68%);Mixed social support and strain from all relationships(18%);Social strain from partner with support from other relationships(14%)).Spouse/partner’s cognition was not significantly associated with social participation profiles.Impaired cognition in spouses/partners increased older adults’likelihood of perceiving social strain from their partners with support from other relationships.Frequent volunteer and non-volunteer participation and perceiving social support from all relationships predicted better self-rated health and lower odds of depressive symptoms.These findings highlight the need of community programs that promote social connectedness for older adults living with cognitively impaired spouses/partners.

Social Robot Detection Method with Improved Graph Neural Networks

Social robot accounts controlled by artificial intelligence or humans are active in social networks,bringing negative impacts to network security and social life.Existing social robot detection methods based on graph neural networks suffer from the problem of many social network nodes and complex relationships,which makes it difficult to accurately describe the difference between the topological relations of nodes,resulting in low detection accuracy of social robots.This paper proposes a social robot detection method with the use of an improved neural network.First,social relationship subgraphs are constructed by leveraging the user’s social network to disentangle intricate social relationships effectively.Then,a linear modulated graph attention residual network model is devised to extract the node and network topology features of the social relation subgraph,thereby generating comprehensive social relation subgraph features,and the feature-wise linear modulation module of the model can better learn the differences between the nodes.Next,user text content and behavioral gene sequences are extracted to construct social behavioral features combined with the social relationship subgraph features.Finally,social robots can be more accurately identified by combining user behavioral and relationship features.By carrying out experimental studies based on the publicly available datasets TwiBot-20 and Cresci-15,the suggested method’s detection accuracies can achieve 86.73%and 97.86%,respectively.Compared with the existing mainstream approaches,the accuracy of the proposed method is 2.2%and 1.35%higher on the two datasets.The results show that the method proposed in this paper can effectively detect social robots and maintain a healthy ecological environment of social networks.

A newly-found pattern of social relationships among adults within one-male units of golden snub-nosed monkeys(Rhinopithecus roxenalla)in the Qinling Mountains,China

Group living provides various advantages to individuals in regards to protection avoidance,intergroup competition,productive success and social information.Stable one-male units(OMUs)consist of relationships between the adult females and the resident male as well as the relationships among adult females.Based on continuous observation of a reproductive group of golden snub-nosed monkeys(Rhinopithecus roxellana)in the Qinling Mountains,we analyzed the relationships among adult individual dyads within 4 OMUs.The results indicated that in golden snub-nosed monkey societies,females not only had no strong tendency to build a relationship with the resident male in the OMU but also had no strong tendency to build relationships with other females in the OMU.In comparison with hamadryas(Papio hamadryas)and gelada baboons(Theropithecus gelada),the relationships within golden snub-nosed monkeys OMUs showed neither the star-shaped pattern observed in hamadryas baboons nor the net-shaped pattern observed in gelada baboons.We concluded that the relationships within golden snub-nosed monkey OMUs indicated a third pattern in nonhuman primate societies.Future research is required to determine the potential mechanisms for such a pattern.

Understanding Social Relationships with Person-Pair Relations

Social relationship understanding infers existing social relationships among individuals in a given scenario,which has been demonstrated to have a wide range of practical value in reality.However,existing methods infer the social relationship of each person pair in isolation,without considering the context-aware information for person pairs in the same scenario.The context-aware information for person pairs exists extensively in reality,that is,the social relationships of different person pairs in a simple scenario are always related to each other.For instance,if most of the person pairs in a simple scenario have the same social relationship,“friends”,then the other pairs have a high probability of being“friends”or other similar coarse-level relationships,such as“intimate”.This context-aware information should thus be considered in social relationship understanding.Therefore,this paper proposes a novel end-to-end trainable Person-Pair Relation Network(PPRN),which is a GRU-based graph inference network,to first extract the visual and position information as the person-pair feature information,then enable it to transfer on a fully-connected social graph,and finally utilizes different aggregators to collect different kinds of person-pair information.Unlike existing methods,the method—with its message passing mechanism in the graph model—can infer the social relationship of each person-pair in a joint way(i.e.,not in isolation).Extensive experiments on People In Social Context(PISC)-and People In Photo Album(PIPA)-relation datasets show the superiority of our method compared to other methods.

An Estimation Method for Relationship Strength in Weighted Social Network Graphs

Previous works mainly focused on estimating direct relationship strength in social networks. If two users are not directly connected in a social network, there is no direct relationship. In order to estimate the relationship strength between two indirectly connected users as well as directly connected users, this paper proposes an estimation method for relationship strength in weighted social network graphs, which is based on the trust propagation strategy and the estimation of direct relationship strength. Our method considers the length of a relationship path, the number of relationship paths and the edge weights (direct relationship strength) along with a relationship path to estimate the strength of indirect relationship. Then it synthesizes the direct and indirect relationship strength to represent the strength of relationship between two users in social net- works. Thus our method can fully estimate the relationship strength between any two users in a social network no matter whether they are directly connected or not.

The Relationship between Social Support and Burnout among ICU Nurses in Shanghai:A Cross-Sectional Study

Objective： The associations between social support and burnout were explored in ICU nurses of Shanghai. Methods： We performed a cross-sectional study of 356 ICU nurses by applying random cluster sampling. Data were collected using self-reported questionnaires under the instruction of trained investigators. Data on emotional exhaustion, depersonalisation and feelings of low personal accomplishment etc. were collected, calculated and analyzed. Results： The participants had a mean age of 26.96 years （SD 4.07）. The mean value （M） and stand- ard deviation （SD） of emotional exhaustion was M=31.85, SD=8.38, those of depersonalisation was M= 11.69, SD= 5.54 and those of feelings of low personal accomplishment was M= 19. 79, SD = 7.02. The high degree of emotional exhaustion （EE）, depersonalisation （DP）, and lack of personal accomplishment （PA） were revealed to be 76.4%, 39.6%, and 94.9%, respectively. The major influencing factors of emotional exhaustion included support from co-workers（b=0. 343, t = 1.98, P=0. 049）, taking leave（b=-1. 182, t=-3. 747, P=0. 001）, requisition of work（b=-l. 41, t=-2. 369, P=0. 018）, and supervisor support（b=-0. 524, t=-3. 926, P=0. 001）. The major influencing factors of depersonalisation were support from the supervisor（b=-0. 333, t=-4. 146, P=0.001）, age（b=-0. 89, t=-2. 272, P= 0. 024） and requisition of work（b=-0. 148, t=-2. 124, P=0. 034）. There was a positive co-relationship between personal accomplishment and supervisor support. Conclusions： Supervisor support, age, and requisition of work were the major influencing factors of depersonalisation. In addition, supervisor support plays an important role in low personal accomplishment. Further research should focus on supervisor support, co-worker support, time on leave, and requisition of work associated with emotional exhaustion.

Research on Coupling Relationship between Social Economy and Ecological Environment in Jinghe County of Aiby Lake Basin,Xinjiang

Based on the theory of sustainable development,using the theory and method of coupling relationship,the main city of Aiby Lake basin——Jinghe County in Xinjiang is selected. Based on the analyses of natural condition,population growth,land use type and ecological environment,the comprehensive evaluation index systems of socio-economic development level and eco-environment quality in Jinghe County are constructed. Using principal component analysis,a comprehensive evaluation of socio-economic development level and ecological environment quality in Jinghe County is conducted by combining with Excel. Their coupling relationship is studied,and quantitative coordination degree between social economy and ecological environment in Jinghe County is obtained. The results show that in recent 50 years,socio-economic development level in Jinghe County is rising,but the ecological environment quality is falling. Their coupling degree C changes during [- 1. 260, ＋ 0. 482],in other words,their coupling relationship is changing between ＂ reluctant coordination＂ and ＂ not coordination＂. After entering into the 21 stcentury,their coupling relationship is basically ＂ reluctant coordination＂. On this basis,the existing problems in the process of sustainable development in Jinghe County are analyzed,and the suggestions about promoting coordinated development between social economy and ecological environment are put forward.

Enterprise innovation, corporate social responsibility and their interactive relationship: A review

Under the new normal economic growth, lack of motivation, structural imbalances in the economy, the shortage of resources, resource utilization inefficiency, environmental damage and other issues have become increasingly prominent, enterprises as the carrier of economy is one of the root of the problem. Research on enterprise innovation and corporate social responsibility issues, it is conducive to the development of enterprise itself and the transformation of Chinese economy. This paper reviewed the research status of relationships between innovation and corporate social responsibility, through comb the aspects of the definitions and evolution of enterprise innovation and social responsibility, also include both the relationship and the new way(responsible innovation) of combination of them, we found the presence of index system is not perfect, and lack of in-depth comprehensive study and opportunities for future research is prospected.

On Exploiting Temporal, Social, and Geographical Relationships for Data Forwarding in Delay Tolerant Networks

Because of unpredictable node mobility and absence of global information in Delay Tolerant Networks (DTNs), effective data forwarding has become a significant challenge in such network. Currently, most of existing data forwarding mechanisms select nodes with high cumulative contact capability as forwarders. However, for the heterogeneity of the transient node contact patterns, these selection approaches may not be the best relay choices within a short time period. This paper proposes an appropriate data forwarding mechanism, which combines time, location, and social characteristics into one coordinate system, to improve the performance of data forwarding in DTNs. The Temporal-Social Relationship and the Temporal-Geographical Relationship reveal the implied connection information among these three factors. This mechanism is formulated and verified in the experimental studies of realistic DTN traces. The empirical results show that our proposed mechanism can achieve better performance compared to the existing schemes with similar forwarding costs (e.g. end-to-end delay and delivery success ratio).

A Brief Analysis of the relationship between the natural sciences and humanities and social science

With the continuous development of economic and social, the category of science is no longer limited to the technical field, natural science, humanities and social science have flourished, but the study of the relationship between the two disciplines is not perfect enough, so we should follow the academic trend, clarify the relationship between the two,only in this way can we have a more specific grasp of the science, this had a profound influence on the all-round development of modern society.

“外察”与“内省”:环境威胁引发的绿色消费意愿研究——基于道德情绪的双路径模型

营销学者在探究绿色消费议题方面做了众多开创性工作,然而针对诱因不同的环境威胁是否及通过怎样的心理路径影响消费者绿色消费意愿的研究仍然匮乏。本文将环境威胁分为自然因素引发的环境威胁和人为因素引发的环境威胁两类,通过4组实验检验了两类环境威胁影响消费者绿色消费意愿的心理机制。研究结果证实了无论哪类环境威胁,都会对绿色产品购买行为产生积极影响,但不同类型的环境威胁会通过差异化认知过程和情绪反应影响绿色产品购买行为。当消费者面对自然因素引发的环境威胁时,其“外察”思维模式会起主导作用,此时敬畏感是促进绿色产品购买意愿的中介变量;当消费者面对人为因素引发的环境威胁时,其“内省”思维模式会起主导作用,此时内疚感是促进绿色产品购买意愿的中介变量。研究也证实了环境威胁对道德情绪的影响会受自然联结性和道德提升感的调节。

空间视域下思想政治教育一体化的概念、内容及建设

社会发展和社会变迁深刻影响着空间格局,空间成为解析社会现象、反映社会思想观念变化的重要理论和实践场域。空间与社会的互动使人的发展、社会的发展空间趋向合理化,使空间变革愈加富有社会化特质。人的思想观念、情感体验、行为实践、社会关系在一定的空间当中被塑造和完善,空间在思想政治教育一体化的作用下逐渐具有思想政治教育意蕴。在阐释空间视域下思想政治教育一体化的概念、分析其内容的基础上提出空间视域下思想政治教育一体化建设思路和举措:实现社会主流意识形态的广泛传播,在对空间的占有当中筑牢思想政治教育一体化的基础;掌握变革社会的力量,通过对空间主体的培养塑造凝聚思想政治教育一体化的主体力量;促进人与社会关系的和谐,通过对空间关系的协调把握思想政治教育一体化的关键。

“搭子”社交:当代青年体育参与的内涵特征、生成逻辑与发展面向

“搭子”社交的成功出圈,呈现出与新时代体育发展相适应的社交文化。现代化发展进程中,“搭子社交”以其期待陪伴、强边界感和弱关系的特点成为当代青年体育参与的动力。这种体育参与方式的转变,与趣缘共同体下体育参与的维系、个体化趋势下体育参与社会心态的转变、现代化转型下体育参与方式的变迁、数字赋能促进体育参与四重因素有关。面对现代社会青年体育参与的需求,发展面向的构建应该从重拾“附近”,建构体育生活圈;价值引导,匡正社交取向;风险规避,警惕社交陷阱入手。“搭子”社交这类描述中国青年社交关系的新型方式,为激发体育文化活力贡献青年力量,或许成为中国式体育现代化理论和实践探究的一个微小窗口。

从绿松石器看晚商王朝与李家崖文化的关系

绿松石因其矿源和产品不多,是用来观察商时期不同区域文化交流和社会关系的新视角。晚商王朝的绿松石器种类很多,主要出现在高等级贵族墓葬中,且有不同的质量品级。李家崖文化绿松石器主要发现在以寨沟遗址为代表的地点,其类别和形制都与晚商王朝中心区域的同类器物高度一致,多数产品很可能直接从晚商王朝中心地区输入。绿松石器可反映晚商王朝与李家崖遗址等北方地区文化之间的亲密关系,这还可能与欧亚草原车马资源东渐、商王朝都城北移等现象相关。晚商王朝可能通过对绿松石等资源和生产技术的掌控,从周边获取所需资源。

中国数字经济空间动态演进的区域现状

数字经济已成为引领我国经济一体化高质量发展的主要驱动力,立足于国家整体经济及区域经济稳步协调发展的战略。文章基于中国2013—2020年省级数据,运用主成分分析法对中国数字经济进行测度,并运用社会网络分析及核密度等方法对我国数字经济动态演化的空间关联及区域差异进行研究。研究发现:(1)2013—2020年我国数字经济发展整体网络密度稳步提升但依旧处于低水平。(2)中国各省份数字经济发展两极分化,东部与西北、东北等边缘地区存在“数字经济鸿沟”,加之整体关联水平低,分化严重,发达地区对边缘地区的辐射效应较低,差距可能愈发扩大。(3)将其划分为四个板块,发现存在“弱关联”板块,板块间溢出关系及关联度差异悬殊,进一步研究各省份数字经济发展的“中间人”作用,发现各省份承担角色更是“极化”严重。研究结果可为我国持续深化数字经济建设,推动经济协调、稳定、高质量发展提供参考。

融合用户社交关系的自适应图卷积推荐算法

为了缓解推荐系统中不同用户社交空间与兴趣空间的内在信息差异和忽视高阶邻居的问题,提出了一种融合用户社交关系的自适应图卷积推荐算法(adaptive graph convolutional recommendation algorithm integrating user social relationships,AGCRSR)。首先,模型在嵌入层使用映射矩阵将初始特征向量转换为自适应嵌入;其次,引入注意力机制聚合不同方面的用户嵌入,通过图卷积网络来线性学习用户和项目的潜在表示;最后,通过自适应模块聚合用户表示并利用内积函数预测用户对项目的最终推荐结果。在数据集LastFM和Ciao上与其他基线算法进行了对比实验,实验结果表明AGCRSR的推荐效果较其他算法有显著提升。