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.

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.

The Impact of Internet Usage on Youth Social Interaction in China

The purpose of this paper intends to explore specifically whether heavy usage of the Internet by youths increase or decrease their social interaction opportunities. Issues that will be examined include that of the change of face-to-face communication between the youth and their families, friends and social activities. A quantitative research method with questionnaires is adopted to meet the objective of this study.

Comparison of social interaction and neural activation in the main olfactory bulb and the accessory olfactory bulb between Microtus mandarinus and Microtus fortis

To gain insight into the function of AOB and MOB during different social interaction and in different vole species,the behaviors and neural activation of the olfactory bulbs in social interactions of mandarin voles Microtus mandarinus and reed voles Microtus fortis were compared in the present research.Mandarin voles spent significantly more time attacking and sniffing their opponents and sniffing sawdust than reed voles.During same sex encounters,mandarin voles attacked their opponents for a significantly longer time and sniffed its opponent for shorter time compared with male-female interactions.However,no significant behavioral differences were found during encounters of two individual reed voles,regardless of gender composition of the pair.Using c-Fos as an indicator of neural activation,we observed that neural activation was significantly higher in almost all sub-regions of the main olfactory bulb(MOB)and the accessory olfactory bulb(AOB)of mandarin voles compared with reed voles.Numbers of c-Fos-ir neurons in almost all sub-regions of the AOB and the MOB during male-female interactions were also higher than those in interactions of the same sex.Anterior-posterior ratios of Fos-ir neurons in the AOBM(AOBMR)and the AOBG(AOBGR)in male-female interaction were significantly higher than those in interaction of the same sex.The AOBMR of male mandarin voles and reed voles were larger than those of females in male-female interactions.Behavioral patterns are consistent with cellular activity patterns.Consistent level of neural activation in MOB and AOB suggests important roles of both the main olfactory bulb and the accessory olfactory bulb in social interaction in two species.

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).

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.

Interaction Dynamics in a Social Network Using Hidden Markov Model

Agents interactions in a social network are dynamic and stochastic. We model the dynamic interactions using the hidden Markov model, a probability model which has a wide array of applications. The transition matrix with three states, forgetting, reinforcement and exploration is estimated using simulation. Singular value decomposition estimates the observation matrix for emission of low, medium and high interaction rates. This is achieved when the rank approximation is applied to the transition matrix. The initial state probabilities are then estimated with rank approximation of the observation matrix. The transition and the observation matrices estimate the state and observed symbols in the model. Agents interactions in a social network account for between 20% and 50% of all the activities in the network. Noise contributes to the other portion due to interaction dynamics and rapid changes observable from the agents transitions in the network. In the model, the interaction proportions are low with 11%, medium with 56% and high with 33%. Hidden Markov model has a strong statistical and mathematical structure to model interactions in a social network.

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.

Escaping Low-Level Equilibrium of Urbanization——Institutional Promotion,Social Interaction and Labor Migration

The policies resulting in urban-rural segmentation have not only directly impeded the transfer of labor from rural to urban areas,but also trapped the process of urbanization in a low-level equilibrium,as the negative effects are amplified by interdependencies between interpersonal decisions.This paper finds from the CHIPS2002 data that there is interdependence of rural residents' decision-making on labor migration from rural to urban areas,and the interdependence is strengthened by the exchange of information between rural residents.According to the simulation results of the models in this paper,China's rural-urban labor migration is indeed at a low-level equilibrium.To get rid of the low-level equilibrium,in addition to improving the level of education and promotion of information exchange among rural residents,it is more important to implement "big push " policies to eliminate institutional barriers to labor mobility and accelerate urbanization with the social interaction.

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.

Struggle for Identity and Transformation of Social Media as Space of Interaction between State and Society

The article is devoted to the struggle for identity which has been intensified in the Russian social media in 2014 both on interpretation of the historical past and on the up-to-date situation, especially, Crimea events. Authors suppose that as a result social media become a means of manipulation more than independent space with rizhoma nature. In 2011-2012 social media were the space of struggle between authority and political opposition. Today space of social media is looking polarized regarding polarization of society in respect of political order and Putin political course.

Interaction Relationship Between Corporate Social Responsibility and Corporate Performance:Evidence from 201 Chinese Listed Companies and Preliminary Study of Its Underlying Mechanism

Corporations actively fulfilling corporate social responsibility(CSR)is of more significance to society's sustainable development nowadays.This research discusses the interaction between CSR and corporate performance and then adopts other mediation variables to explain the underlying mechanism.The empirical analyses are performed on a sample of 201 listed Chinese firms.The result shows that CSR has a weak negative impact on corporate perfbnnance while being positively influenced by corporate performance significantly.Further study finds the reason may be CSR requires financial support,but has little to do with increasing shareholder wealth.

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。

Using Social Interaction to Invert the Professional Competencies of Future Architects

The article analyzes the results of a sociological study of the role of public and interdisciplinary communications for formation and inversion of architect’s competences.The study was carried out in 2021-2022 among students of architecture departments in Russia.About 3,000 students of the Moscow Architectural Institute(State Academy)and the Orel State University took part in the study.As a result of processing the data of the written questionnaire with correlation relationships,the potential of“external”educational communications was identified for acquisition of new professional knowledge and competencies in architecture;popularization of socially important ideas in architecture and spatial development;raising a sense of pride and respect for urban historical and cultural heritage;enhancing the prestige of the architectural profession and the status of architectural education;understanding social expectations of architectural activities and factors limiting implementation of projects;identifying factors influencing formation of strategies for the development of architectural education.Four stages of formation and inversion of professional competences in the educational process were singled out:1st-2nd years of training-an“orientation period”;3rd-4th years-the level of Bachelor of Science in Architecture,at which the groundwork of the professional thinking basics is laid-a stage of mastering the basic system-design skills;5th year(diploma thesis)-a stage of entry into creative practice;training at the level of Master of Science in Architecture-scientific-design practice in architecture.Issues concerning underrating the importance of future architects’involvement in joint activities with community and engineering professions representatives to realize the goals of sustainable development were identified;late awareness of the value of participation in volunteer programs.

Contribution of Revived Heritage on Contemporary Social Interaction:The Case of Paddington Reservoir Garden

Reviewing and further reviving the historical landscape have significant impacts on developing this field for the designers[1].It is useful for contemporary designers to learn from the past.They can practice analyzing the strengths and weaknesses of diverse past examples,recognizing the success criteria of contemporary designed landscapes,and exploring new ways to design sustainable public spaces for the future.This article will examine the Paddington Reservoir Garden,in Paddington,Sydney,Australia.This is as a successful and influential example as a heritage redesigned as a contemporary public open space.

Incorporating metapath interaction on heterogeneous information network for social recommendation

Heterogeneous information network(HIN)has recently been widely adopted to describe complex graph structure in recommendation systems,proving its effectiveness in modeling complex graph data.Although existing HIN-based recommendation studies have achieved great success by performing message propagation between connected nodes on the defined metapaths,they have the following major limitations.Existing works mainly convert heterogeneous graphs into homogeneous graphs via defining metapaths,which are not expressive enough to capture more complicated dependency relationships involved on the metapath.Besides,the heterogeneous information is more likely to be provided by item attributes while social relations between users are not adequately considered.To tackle these limitations,we propose a novel social recommendation model MPISR,which models MetaPath Interaction for Social Recommendation on heterogeneous information network.Specifically,our model first learns the initial node representation through a pretraining module,and then identifies potential social friends and item relations based on their similarity to construct a unified HIN.We then develop the two-way encoder module with similarity encoder and instance encoder to capture the similarity collaborative signals and relational dependency on different metapaths.Extensive experiments on five real datasets demonstrate the effectiveness of our method.

Enhancing EFL Students' Social Strategy Awareness and Use Through Interactive Learning Activities

Based on prior studies and a questionnaire survey,this paper is seeking to demonstrate that interactive activities will facilitate EFL learners' social strategy awareness and use,and thus enhance their linguistic development.A sample lesson plan is also presented in this paper to illustrate that social strategy awareness and use can be improved through interactive learning activities.