Social interactions in periodic urban markets and their contributions to sustainable livelihoods:Evidence from Ghana

Periodic markets are an important aspect of local economies,providing a platform for farmers(producers),wholesalers,retailers,and consumers to interact face-to-face and exchange goods and services.These markets have been increasing in urban areas in Africa,Asia,and South America because of urbanization.The increase of periodic urban markets(PUMs)in urban areas is observed as an index of modernization,reflecting a response to transition process.However,there are limited studies on how social interactions in PUMs contribute to sustainable livelihoods.This study investigated the types of social interactions occurring in PUMs in Ghana,the benefits of social interactions for participants of PUMs,and how social interactions contribute to sustainable livelihoods.This research interviewed 162 participants,comprising 27 farmers(farmers were regarded as producers in this study),61 retailers,47 wholesalers from 9 selected PUMs across Ghana,and 27 officers from government institutions and non-governmental market associations to obtain their opinions.We analyzed the interview data using the NVivo software.The results showed that there are seven kinds of social interactions in PUMs,including(i)producer-wholesaler relationship,(ii)producer-consumer relationship,(iii)wholesaler-retailer relationship,(iv)retailer-consumer relationship,(v)trader-driver relationship,(vi)trader-institution relationship,and(vii)trader-international buyer relationship.We found that these social interactions in PUMs enhance sustainable livelihoods by supporting human,social,financial,natural,and physical assets of traders(traders refer to producers,wholesalers,and retailers in this study).Therefore,we concluded that the development of policies to improve PUMs could strengthen social interactions,enabling the achievement of sustainable livelihoods in developing countries.

Impact of different interaction behavior on epidemic spreading in time-dependent social networks

We investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks.The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis.It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics,depending on the relative social intensity of group and pairwise interactions.As the group interaction proportion decreases,the impact of reducing group social intensity diminishes.The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection.A weak heterogeneous activity distribution can raise the epidemic threshold,and reduce the scale of infection.These results benefit the design of epidemic control strategy.

Opinion consensus incorporating higher-order interactions in individual-collective networks

In the current information society, the dissemination mechanisms and evolution laws of individual or collective opinions and their behaviors are the research hot topics in the field of opinion dynamics. First, in this paper, a two-layer network consisting of an individual-opinion layer and a collective-opinion layer is constructed, and a dissemination model of opinions incorporating higher-order interactions(i.e. OIHOI dissemination model) is proposed. Furthermore, the dynamic equations of opinion dissemination for both individuals and groups are presented. Using Lyapunov's first method,two equilibrium points, including the negative consensus point and positive consensus point, and the dynamic equations obtained for opinion dissemination, are analyzed theoretically. In addition, for individual opinions and collective opinions,some conditions for reaching negative consensus and positive consensus as well as the theoretical expression for the dissemination threshold are put forward. Numerical simulations are carried to verify the feasibility and effectiveness of the proposed theoretical results, as well as the influence of the intra-structure, inter-connections, and higher-order interactions on the dissemination and evolution of individual opinions. The main results are as follows.(i) When the intra-structure of the collective-opinion layer meets certain characteristics, then a negative or positive consensus is easier to reach for individuals.(ii) Both negative consensus and positive consensus perform best in mixed type of inter-connections in the two-layer network.(iii) Higher-order interactions can quickly eliminate differences in individual opinions, thereby enabling individuals to reach consensus faster.

Research on the Effect of Dance Therapy on Improving Social Communication Ability of Children with Autism

Research motivation:Through the 12 weeks dance therapy intervention for children with autism,the purpose is to explore the intervention model of dance therapy for children with autism and the changes in motor ability,social ability,and communication ability of children with autism after dance therapy intervention.The results of the research are expected to expand the intervention mode of dance therapy in my country and provide practical reference for rehabilitation intervention of children with autism.Research methods:24 autistic boys aged 6 to 12 with mild to moderate symptoms were recruited and screened through the Internet as the subjects of this study.We randomly divided them into experimental group(N=12)and control group(N=12).All children with autism have an autism diagnosis certificate issued by Children’s Hospital or a tertiary hospital,excluding other mental diseases(such as epilepsy,major physical disability,mental illness,no history of drugs and other interventions,etc.).We used the paired sample t-test to compare the score difference between the dance treatment group and the control group before and after the two groups,and used the observation method to record the basic communication behavior and the number of active communication behaviors in the experimental group during the intervention process.All data analysis is used in SPSS 20.0.Research results:After 12 weeks of dance therapy intervention,there were statistically significant differences in the gross movement,balance,and coordination abilities of the children in the experimental group compared with those before the intervention(p<0.01).There was no significant difference between the children in the control group(p>0.05).After 12 weeks of dance therapy intervention,there were statistically significant differences in the scores of the social response scale for children with autism in the experimental group(p<0.05).There was no significant change in the scores of each item of the SRS scale before and after intervention in the control group and the dance treatment group(p>0.05).

基于Social Transformer的井下多人轨迹预测方法

目前煤矿井下人员轨迹预测方法中,Transformer与循环神经网络(RNN)、长短期记忆(LSTM)网络相比,在处理数据时不仅计算量小,同时还有效解决了梯度消失导致的长时依赖问题。但当环境中涉及多人同时运动时,Transformer对于场景中所有人员未来轨迹的预测会出现较大偏差。并且目前在井下多人轨迹预测领域尚未出现一种同时采用Transformer并考虑个体之间相互影响的模型。针对上述问题,提出一种基于Social Transformer的井下多人轨迹预测方法。首先对井下每一个人员独立建模,获取人员历史轨迹信息,通过Transformer编码器进行特征提取,接着由全连接层对特征进行表示,然后通过基于图卷积的交互层相互连接,该交互层允许空间上接近的网络彼此共享信息,计算预测对象在受到周围邻居影响时对周围邻居分配的注意力,从而提取其邻居的运动模式,继而更新特征矩阵,最后新的特征矩阵由Transformer解码器进行解码,输出对于未来时刻的人员位置信息预测。实验结果表明,Social Transformer的平均位移误差相较于Transformer降低了45.8%,且与其他主流轨迹预测方法LSTM,S−GAN,Trajectron++和Social−STGCNN相比分别降低了67.1%,35.9%,30.1%和10.9%,有效克服了煤矿井下多人场景中由于人员间互相影响导致预测轨迹失准的问题,提升了预测精度。

The Philosophical Basis of Social Turning of Embodied Cognition From the Perspective of Symbolic Interactionism

Since the 1990s,embodied cognition has become the research trend of cognitive science.Due to excessive attention to embodiment and the physical environment,embodied cognition does not pay more attention to the social characteristics of cognition,especially the role of others and symbolic activities,making cognitive science research unable to get rid of solipsism.So,it is difficult for the embodied cognition to explain the uniformity and multiplicity of cognition,and the problem of“other”mind.To solve these problems,the paper expounds the relations between symbolic interactionism and embodied cognition and the necessity of social turning in embodied cognition.Through analyzing the thoughts of George H.Mead about cognition and the influence of his symbolic interactionism on embodied cognition,as well as discussing Mark Johnson’s view on social interactional aspects of embodied cognition,we emphasize that the social and symbolic interactions are indispensable factors of embodied cognition.The paper argues that higher-order cognition comes out of symbolic interactions;cognition generates from posture dialogue interaction and manifests itself through attitude;intersubjectivity is closely associated with symbolic interactionism.Therefore,studying the relations between symbolic interactionism and embodied cognition helps overcome the solipsism or individualism of embodied cognition,and accordingly contributes to the social turning of embodied cognition.

I’m Nervous about Sharing This Secret with You:Youtube Influencers Generate Strong Parasocial Interactions by Discussing Personal Issues

Purpose:Performers may generate loyalty partly through eliciting illusory personal connections with their audience,parasocial relationships(PSRs),and individual illusory exchanges,parasocial interactions(PSIs).On social media,semi-PSIs are real but imbalanced exchanges with audiences,including through comments on influencers’videos,and strong semi-PSIs are those that occur within PSRs.This article introduces and assesses an automatic method to detect videos with strong PSI potential.Design/methodology/approach:Strong semi-PSIs were hypothesized to occur when commenters used a variant of the pronoun“you”,typically addressing the influencer.Comments on the videos of UK female influencer channels were used to test whether the proportion of you pronoun comments could be an automated indicator of strong PSI potential,and to find factors associating with the strong PSI potential of influencer videos.The highest and lowest strong PSI potential videos for 117 influencers were classified with content analysis for strong PSI potential and evidence of factors that might elicit PSIs.Findings:The you pronoun proportion was effective at indicating video strong PSI potential,the first automated method to detect any type of PSI.Gazing at the camera,head and shoulders framing,discussing personal issues,and focusing on the influencer associated with higher strong PSI potential for influencer videos.New social media factors found include requesting feedback and discussing the channel itself.Research limitations:Only one country,genre and social media platform was analysed.Practical implications:The method can be used to automatically detect YouTube videos with strong PSI potential,helping influencers to monitor their performance.Originality/value:This is the first automatic method to detect any aspect of PSI or PSR.

Architectural Requirements for Improving Social Interactions in Subway Stations： An Evidence Based Design Approach

Environmental design is concerned with the function of people within an environment and their interactions. Subway stations spaces are important examples of public spaces that are in close connection with the social life of people. Also, the fact that the social interactions and relations between people and city environments are becoming indispensable for subway station space indicates that these spaces play an essential role in urban life. This paper addresses the result of a study conducted by the authors on the influential elements pivotal to the improvement of social interactions in subway stations. The theory of John Lang in Urban design with consideration of social interaction was considered in this study. The objective of the study was to identify the architectural requirements in improving social interaction between people and environment in subway station spaces according to an evidence based design approach. To do so, relevant literature in different disciplines, architecture, urban design, social sustainability and so on, were reviewed Next, the most important environmental factors which contribute to human behavior in public spaces were derived and analyzed. Data of the study were collected via questionnaires filled out by the users of Tehran＇s subway stations. The collected data were analyzed and the architectural elements/requirements for improving social interactions were classified. The results of the study indicate that in the case of architectural requirements, contribution to the improvement of social interactions, design considerations for physical and mental safety, accessibility and lighting are the most important factors.

Research on Cultural Schemas for Social Interactions

Social interactions strategies refer to saying the proper words and sentences on proper occasions. They could be affected by different cultural backgrounds （schemas）. Culture is usually treated as the basis of our social interactions which influences the way we deal with problems, and even our thought and behavior. Therefore, although many communication problems occur on the interpersonal level, most difficulties and misunderstandings can be traced to cultural differences. With a deeper comprehension, the cultural differences are the schema differences which are a kind of framework of a specific culture that exists in people＇s brain and influences people＇s judgments and behavior of daily life. Furthermore, this schema conflict would also confuse people＇s judgment and make them to choose the wrong way to respond. Thus, the schema conflict interferes our social interactions.

Social Science Communication Through Dialogic Interactions

The study in this paper that draws on dialogic interaction is a focus of investigation as the way to communicate social sciences to the public. In science communication people, for example, experts or scientists attempt to persuade lay people about the validity of their assessments. Currently dialogue in science communication might be seen as an important way to deliver information about sciences to the public as previously communicating science was conducted through top-down approaches. In addition, currently there is a tendency that people prefer to deliver and to receive information about sciences through two-way communication models between two or more parties, face-to-face or mediated by any means of communication as this way of communication is seen as more interactive. In the context of Indonesia, in terms of social science communication, this is an important phenomenon to investigate as two-way communication models might bridge the gap between expert opinion and lay opinion, where lay opinion is often seen as irrational or emotional. However, there are still a small number of studies with regard to how social sciences are communicated to the public and in what ways people preferred to deliver, moreover to discuss information within social sciences. One of the potential reasons is that research on science communication is mainly focused on natural and physical sciences. Since the study in this paper focuses on dialogic interactions in social science communication, this study will contribute to the current discussions of mass communication, in terms of science communication, and to related fields.

Maximizing Influence in Temporal Social Networks:A Node Feature-Aware Voting Algorithm

Influence Maximization(IM)aims to select a seed set of size k in a social network so that information can be spread most widely under a specific information propagation model through this set of nodes.However,most existing studies on the IM problem focus on static social network features,while neglecting the features of temporal social networks.To bridge this gap,we focus on node features reflected by their historical interaction behavior in temporal social networks,i.e.,interaction attributes and self-similarity,and incorporate them into the influence maximization algorithm and information propagation model.Firstly,we propose a node feature-aware voting algorithm,called ISVoteRank,for seed nodes selection.Specifically,before voting,the algorithm sets the initial voting ability of nodes in a personalized manner by combining their features.During the voting process,voting weights are set based on the interaction strength between nodes,allowing nodes to vote at different extents and subsequently weakening their voting ability accordingly.The process concludes by selecting the top k nodes with the highest voting scores as seeds,avoiding the inefficiency of iterative seed selection in traditional voting-based algorithms.Secondly,we extend the Independent Cascade(IC)model and propose the Dynamic Independent Cascade(DIC)model,which aims to capture the dynamic features in the information propagation process by combining node features.Finally,experiments demonstrate that the ISVoteRank algorithm has been improved in both effectiveness and efficiency compared to baseline methods,and the influence spread through the DIC model is improved compared to the IC model.

面向数字社会的学生社群互动行为分析

命运与共是当今世界的显著标志,人际交往对于社会生产与发展具有重要现实意义。信息技术的发展扩大了学生的成长空间,数字交往成为当代学生主要的人际互动形式,网络社群则成为学生成长的主要空间。然而,这也导致学生直面数字社交带来的交往异化和主体性丢失问题。因此,研究从交往理性的视角构建了数字社会CSS架构,涵盖数字文化(Digital Culture)、主体空间(Individual Space)和社会秩序(Social Order)三个层面,该架构为数字社会成员在新时代的生存发展和社会交往提供了可信机理。基于此架构详细分析了个体面向数字社会所应具备的胜任能力,具体包含数字文化中的工具意识、数字素养和主体效能;主体空间中的自我意识、身份认同和行为约束以及社会秩序中的群体意识、情绪驾驭和社会参与。

人口流动对家庭风险金融资产配置的影响——基于CHFS数据的实证研究

改革开放以来,中国经历了大规模的人口迁移,形成了庞大的流动人口群体,对经济社会各个领域产生了深刻的影响,也在一定程度上改变了居民的家庭金融资产配置结构。利用中国家庭金融调查(CHFS)2017和2019年两期数据,实证分析了人口流动对家庭风险金融资产配置的影响。研究发现:人口流动对家庭风险金融资产配置具有显著的正向促进效应,在使用工具变量法处理内生性问题和一系列稳健性检验之后结论依然成立。进一步研究发现,人口流动对50岁以上的户主家庭和城市居民家庭的风险金融资产配置促进作用更大;同时,人口流动通过影响家庭的社会互动和风险偏好,进而提升家庭的风险金融资产配置水平。鉴于已有文献鲜有从人口流动视角研究家庭风险金融资产配置问题,研究结论丰富了相关文献,同时也为政府相关部门优化人口流动机制、拓宽居民投资渠道提供了理论依据。

交往焦虑量表在中国大学生中的信效度检验

为提高大学生社交焦虑筛查效率,进行交往焦虑量表(Interaction Anxiety Scale,IAS)在中国大学生群体中的修订及信效度检验,采用中文版IAS、羞怯量表、简版惧怕否定评价量表对1020名大学生进行施测,进行项目分析、信效度检验、男女群组等值性检验。因素分析结果建议删除条目6和条目9,修订后的中文版IAS包括紧张和放松两个维度,具有良好的信效度。修订后的IAS适宜作为测量中国大学生群体社交焦虑的可靠工具。

文化符号的传播与共享——以夏鲁寺、贡嘎曲德寺日月图像为例

西藏地区的夏鲁寺与贡嘎曲德寺壁画中均出现了以金乌、玉兔代表日与月的图像。金乌与玉兔图像是中原文化用来表示日与月的固定图式。自汉朝时期由西王母神话与民间信仰不断糅合产生,唐代时被吸收进佛教图像体系中,后期随着藏传佛教的兴盛与文化交流的频繁,藏传佛教绘画吸收了这种日月图像母题。西藏壁画艺术中的日月图像,不仅更新了藏传佛教艺术的表达范式,而且图像意义也突破了单纯宗教艺术的阐释,凸显了中央皇权的在场。夏鲁寺与贡嘎曲德寺壁画中的日月图像是汉藏文化交往交流交融的结果,彰显了元明时期各民族之间的频繁互动,以及多元文化交流下文化符号互融互生的整体性社会结构。

社会互动建构:民族传统体育文化传承滞碍的纾解路径

在推动中华优秀传统文化创造性转化和创新性发展的背景下,解决民族传统体育文化传承不继的问题尤为迫切,且有必要将这一问题置于社会视域来认识和分析。认为,民族传统体育文化的传承和维系要以社会互动为基础,在论证社会互动是民族传统体育文化传承发生机制的基础上,从互动主体、情境中的接触和符号意义互通三个方面阐述了社会互动与民族传统体育文化传承的关系。同时认为,民族传统体育文化传承瓶颈的致因是社会互动缺失,具体原因包括互动主体集体性缺席、互动情境创设不足和符号认同代际差异显著等。最后,着眼于民族传统体育文化的长远发展认为,强化互动主体建构,并在创设互动情境的同时加强符号意义认同,是纾解民族传统体育文化传承困境的可取路径。

弓箭技艺与社会互动:宋代山西武庄挽弓的文化传承与现代转型

本文以宋代山西地区传统武术项目武庄挽弓为研究对象,深入分析武庄挽弓作为一项传统弓箭技艺的历史文化发展动因,并探讨其文化传承与现代转型路径。运用田野调查、口述历史和逻辑分析等研究方法追溯武庄挽弓的历史演变与社会互动过程,从历史起源、军事应用到文化融合,探讨其在不同社会历史阶段的角色和意义;深入阐释武庄挽弓在器物、制度和精神文化层面的文化传承,这些文化要素共同塑造了武庄挽弓独特的文化身份和社会实践价值;剖析武庄挽弓通过传承策略和集体记忆构建,在现代转型过程中实现文化的持续传播与创新发展。研究认为,武庄挽弓通过推广与教育促进参与行为和文化认同、在地方发展中实现体旅融合等现代转型策略,不仅推动了全民健身活动的开展、文化遗产的传承以及地方旅游业的发展,而且为传统武术文化的理解和保护拓宽新视角,为民族传统体育项目的现代发展提供借鉴与启示。

社会交往内卷化对进城农民工就业质量的影响研究

实现农民工高质量就业是解决收入不平等、实现共同富裕的一个重要途径。文章基于2017年中国流动人口动态监测调查(CMDS)数据,构建OLS、Probit回归模型探讨了社会交往内卷化对进城农民工就业质量的影响和作用机制。研究发现,社会交往内卷化显著抑制进城农民工就业质量的提升,分维度回归结果显示,社会交往内卷化抑制了农民工劳动合同的签订以及医疗保险的获取,同时也增加了工作时间,但并没有发现社会交往内卷化对其工资水平有不利影响;机制检验表明,社会交往内卷化通过降低居留意愿、减少工会参与、强化就业歧视而抑制进城农民工就业质量的提升;异质性分析显示,社会交往内卷化对“新生代”农民工就业质量的影响更大。因此,应当加深进城农民工的城市融合,优化制度设计并加强劳动监管,推动农民工居留意愿长期化,增加教育培训投入等。

大学生“搭子社交”现象透视及其引导

“搭子社交”是当下大学生群体广泛参与的社交新样态,有着趣缘化匹配、碎片化整合和轻质化投入的表征。通过对大学生“搭子社交”现象在个体、群体、组织和文化层面的透视,探析其多维度演化规律,进而提出引导的实践进路,即在高校思政工作中要反思社交过度理性,并以精准思政引领精准陪伴,营造健康的校园社交生态,鼓励营建“知情意”兼备的革命伙伴式长期“搭子”关系。

人类学视域下数字符号的内涵、类型及文化意义

数字是人类一份特殊文化遗产,在人类发展进程中发挥着重要的作用,承载着丰富的社会文化价值,体现了人们的宇宙观与价值观。人类学视域下数字符号的内涵丰富,类型多样,其文化意义主要体现在朴素的阴阳哲学观、传统生活数字文化智慧、解决问题思维模型以及民族交往交流交融等多个方面。调查与研究既定区域的数字符号及文化意义,是深入研究文理交叉的数字人类学的重要基础,揭示民族交往交流交融历史进程,为铸牢中华民族共同体意识提供鲜活的多民族融合案例。