Application of New Concept for Multiple Intelligences Calculation for Personality and Social Groups Comparison Research

A person is considered as information-energy system with a host of feedbacks. The possibility of determining the statistical characteristics in a multiple intelligences profile of various social groups’ representatives using the vibraimage technology is investigated. Theft and alcohol abuse have been chosen as examples of significant social problems including deviant behavior and the trigger of formation of various socially vulnerable groups. The comparative analysis of conscious and unconscious attitudes in multiple intelligences structure of individuals prone to deviant behavior and the control group allows differentiating professional preferences and the impact of society on different social groups.

A Large-Scale Group Decision Making Model Based on Trust Relationship and Social Network Updating

With the development of big data and social computing,large-scale group decisionmaking(LGDM)is nowmerging with social networks.Using social network analysis(SNA),this study proposes an LGDM consensus model that considers the trust relationship among decisionmakers(DMs).In the process of consensusmeasurement:the social network is constructed according to the social relationship among DMs,and the Louvain method is introduced to classify social networks to form subgroups.In this study,the weights of each decision maker and each subgroup are computed by comprehensive network weights and trust weights.In the process of consensus improvement:A feedback mechanism with four identification and two direction rules is designed to guide the consensus of the improvement process.Based on the trust relationship among DMs,the preferences are modified,and the corresponding social network is updated to accelerate the consensus.Compared with the previous research,the proposedmodel not only allows the subgroups to be reconstructed and updated during the adjustment process,but also improves the accuracy of the adjustment by the feedbackmechanism.Finally,an example analysis is conducted to verify the effectiveness and flexibility of the proposed method.Moreover,compared with previous studies,the superiority of the proposed method in solving the LGDM problem is highlighted.

Mining Social Groups with Weighted Similarity in Campus Wireless Network

With the popularity of wireless networks and the prevalence of personal mobile computing devices, understanding the characteristic of wireless network users is of great significance to the network performance. In this study, system logs from two universities, Dartmouth College and Shanghai Jiao Tong University(SJTU), were mined and analyzed. Every user's log was represented by a user profile. A novel weighted social similarity was proposed to quantify the resemblance of users considering influence of location visits. Based on the similarity, an unsupervised learning method was applied to cluster users. Though environment parameters are different, two universities both form many social groups with Pareto distribution of similarity and exponential distribution of group sizes. These findings are very important to the research of wireless network and social network .

Interpersonal Perception in Virtual Groups: Examining Homophily, Identification and Individual Attraction Using Social Relations Model in Network

With the penetration of the Internet, virtual groups have become more and more popular. The reliability and accuracy of interpersonal perception in the virtual environment is an intriguing issue. Using the Social relations model (SRM) [1], this paper investigates interpersonal perception in virtual groups from a multilevel perspective. In particular, it examines the following three areas: homophily, identification, and individual attraction, and explores how much of these directional and dyadic relational evaluations can be attributed to the effect of the actor, the partner, and the relationship.

The Influence of Social Media on Contemporary Subcultural Groups in China： The Case of BL Fandom

Social media has become the infrastructure of contemporary virtual life and greatly influenced the landscapes of the modern culture. By tracking the development of a local subculture in China-BL fandom and analyzing BL fandom on social media, this research argues that social media empowers the subcultural groups and makes the cultural expression of BL fans heard. Meanwhile, the social relationship of online subcultural groups shows the tendency of decentralization and conglomeration, which is typical of social network services. In the interaction between fujoshies through social media, the subcultural groups also develop a collective identity resistant against the mainstream society. The rise of social media leads the contemporary subcultures to a new stage.

Disadvantageous Position,Exclusion and Empowerment： Social Integration of Marginal Groups

Marginalized groups,affected by the stigma of the label,have low intra-individual self-efficacy,lack external support in social life,and are often excluded in the economic,political and social relations,which is not conducive to social justice and stability. In the perspective of empowerment theory,the marginalized groups need to be integrated into the society on individual,interpersonal,and political levels. On the individual empowerment level,self-efficacy is to be enhanced in the marginalized groups to promote their self-acceptance;on the interpersonal empowerment level,social resources for the marginalized groups are to be expanded through self-help groups so as to build an extensive social support network; on the political empowerment level,it is advocated to improve the relevant legislation and policy support. Social workers and various social parties should work together to create a good environment for the social integration of marginalized groups.

Housing status pinpoints social strata in China——A survey on China's housing groups

Sociologists Rex and Moore first raised the housing class theory in 19671,stating that people can be grouped into different classes according to their housing conditions.Defining classes by housing standards seems too simple,though,which is why this theory is controversial.In order to avoid the same confusion of social class,this paper employs the concept of "housing status group." Like economic status,people's housing status is normally relatively stable and unlikely to significantly change in a short time span.But China is an exception as the past 30 years have witnessed tremendous institutional reform,particularly in the housing system.Almost overnight,public housing became privatized and the real estate market developed.This transformation also meant an abrupt change in the status of social groups in relation to housing-for the better or worse.From the social stratification perspective,this has also been an important period of reshaping social status.Thus,it is of great signif icance to study "housing status groups" during the transitional period to shed light on a myriad of social ills.

How Group Heuristics Promotes Cooperative Behavior in Social Dilemma SituationmExploration of Group Heuristics Effects on the Basis of Computer Simulation

As it is impossible to assume complete rationality in a social dilemma situation, the assumption of bounded rationality is appropriate. Under the bounded rationality, it would be reasonable to assume that one behaves according to the heuristics principle. The group identity effect in a social dilemma situation might be very important in order to attain cooperation. The aim of this study was to clarify how to promote a cooperative behavior by avoiding a social dilemma situation. The group heuristics was taken into account, and it was explored how the group heuristics promotes a cooperative behavior in a social dilemma situation. As a result of a two-person game theory experiment, the group heuristics was found to play an important role in a social dilemma situation, and enhance a cooperative behavior. For the following three cases, the higher cooperation rate was attained at the latter half of the experiment： （a） mutual in-group condition, （b） one-way in-group condition, and （f） one-way unknown condition （in-group）. In conclusion, the consciousness of in-group membership might help to promote actively mutual cooperation.

Online Social Skills Group Training for Adolescents and Young Adults with 22q11.2 Deletion Syndrome (22q11.2DS)

Somatic, cognitive and psychiatric obstacles contribute to social impairment in 22q11.2DS and prevent adequate responses during interactions. We adapted the autism-specific SOSTA-FRA program for use during online group sessions with geographically-isolated 22q11DS adolescents or adults. The 12 weekly sessions targeted communication, emotional awareness, and reciprocity. Twenty-two participants were evaluated on behaviour, social responsiveness, and cognition pre- and post-intervention. Parents completed a questionnaire to ascertain whether the intervention met their needs. Parents were satisfied with the format and curriculum contents and reported improved emotional awareness, well-being, and reciprocity post-intervention. Pre-post results suggest large effects on social awareness and small to medium effects on social motivation. Results indicate that online social skills training is feasible and effective for individuals with 22q11.2DS.

Welfare Balance of Different Interest Groups During Rural-urban Land Conversion

Rural-urban land conversion is currently a common social economic phenomenon during the process of economic development and rural urbanization in China. Rural-urban land conversion is positively effective as far as social and economic benefits are concerned (Yang, 2002), but its negative effect is also evident, resulting in such problems as low efficiency of rural land configuration and loss of social welfare. Consequently, farm-ers should also have an equal chance to enjoy the social welfare enhanced by land conversion. Based on the theories of welfare economy, this paper puts forward policy suggestions by discussing the welfare changes of various interest groups, builds the model of welfare distribution, and analyzes the conditions of maximizing social welfare. The absolute and opposite value of social welfare is closely related with the speed of rural-urban land conversion, and governments should give farmers and collectives fair compensa-tion to make up for the utility loss caused by land expropriation, which are conclusions drawn from this paper. This study aims to provide a theoretical basis for regulating targets and evaluation criteria, realizing the mechanism and implementation of public po-lices during rural-urban land conversion.

Consensus model of social network group decision-making based on trust relationship among experts and expert reliability

Due to people’s increasing dependence on social networks,it is essential to develop a consensus model considering not only their own factors but also the interaction between people.Both external trust relationship among experts and the internal reliability of experts are important factors in decision-making.This paper focuses on improving the scientificity and effectiveness of decision-making and presents a consensus model combining trust relationship among experts and expert reliability in social network group decision-making(SN-GDM).A concept named matching degree is proposed to measure expert reliability.Meanwhile,linguistic information is applied to manage the imprecise and vague information.Matching degree is expressed by a 2-tuple linguistic model,and experts’preferences are measured by a probabilistic linguistic term set(PLTS).Subsequently,a hybrid weight is explored to weigh experts’importance in a group.Then a consensus measure is introduced and a feedback mechanism is developed to produce some personalized recommendations with higher group consensus.Finally,a comparative example is provided to prove the scientificity and effectiveness of the proposed consensus model.

The Research of Value of Female Costume in Ethnic Group Construction Based on the Social Gender

The social gender theory is a historical analysis method which is benificial to explore the system of human organization activities around ＂male＂or ＂female＂ activities. Historically, the process of human socialization is also a process of social gender institutionalization. Therefore, the paper tried to analyze the connotation of ethnic women＇s costume from the social gender perspective to help people realize further the women＇s state in sexism society and value in ethnic group constructing and developing. Firstly, the paper sets forth the characteristic of ＂group＂ of ethnic people female costumes. The next, the paper explored the costume how to set up a system of ethic standard in inner group so as to maintain the social order. Subsequently, the paper points out, with the rapid evolution of society, more and more ethnic people men participate cities construction and outer social activities Consequently, most of minority men wear modem clothing instead of their traditional clothing, only women still insist in wearing the traditional clothing. Finally, according to research above, the authors consider that ethnic people female costumes emerge strong gender content which reflects more constraints rather than equality between men and women. Besides, it is certain that women have irreplaceable value in ethinc group construction and development.

社交网络群组用户知识共享行为动机研究:以Facebook Group和微信群为例

当前社交网络群组吸引着大量高度活跃的用户,使其可以发布丰富的原创内容,进行频繁的知识交流与传播。本文基于自我决定理论梳理社交网络群组用户知识共享行为的内在和外在动机,依据计划行为理论引入知识共享意愿在动机与行为之间的中介作用,基于自我建构理论引入自我建构类型对行为动机的调节作用,构建了社交网络群组用户知识共享行为动机模型,并通过问卷调查法采集微信群和Facebook Group共计467份样本数据,采用PLS-SEM方法对模型进行检验。研究结果显示:利他和社交参与是最主要的知识共享行为动机;自我效能和互惠受用户自我建构类型的调节,依存自我显著负向调节自我效能与微信群用户知识共享意愿的相关关系,独立自我显著负向调节互惠与Facebook Group用户知识共享意愿的相关关系。本研究从个体自我认知角度提出了动机差异的文化阐释,丰富了知识共享行为动机的理论研究,并对社交网络的知识管理具有实践指导意义。

国外Social Tagging研究群体分析

基于抽取的国外知名数据库的学术文献,分析探讨Social Tagging研究群体的学科特征和研究视角。结果表明当前Social Tagging的研究群体主要局限于信息科学与计算机科学,且未形成居于统治权威地位的研究团体和研究人员。自从Social Tagging产生以来,"Social Tagging的组成功能"的研究一直是Social Tagging的基础性研究维度,不过随着应用深入发展,研究维度逐步转而融合信息检索和人机交互这两个相关领域知识分析"Tagger的行为及Social Tagging的界面设计"和"Social Tagging自身的组织和使用"这两个主要研究维度。

Ecology and social system of northern gibbons living in cold seasonal forests

Gibbons in China represent the northernmost margin of present day gibbon species distribution （around N25°）. Compared to tropical habitats, northern gibbon habitats are characterized by low temperatures and remarkable seasonal variation in fruit abundance How gibbons adapt to their cold and seasonal habitats and what ecological factors affect their sociality are key questions for understanding their ecology and social system evolution, the elucidation of which will contribute to the conservation of these special populations/species. According to preliminary short-term studies, northern gibbons consume more leaves and use larger home ranges than tropical gibbons. Interestingly, some Nomascus groups consist of more than one adult female. However, these preliminary results are not well understood or incorporated into current socio-ecological theories regarding gibbon species. To better understand northern gibbons, our team has systematically studied three habituated groups of Nomascus concolor, three groups of N. nasutus, and two habituated groups of Hoolock tianxing since 2002. In this paper, we stress the challenges facing gibbons living in northern habitats and summarize their behavioral adaptations to their harsh environments. We also describe the northern gibbon social system and discuss the potential relationships between their ecology and sociality. Finally, we highlight future research questions related to northern gibbons in China.

Social organization of Shortridge’s capped langur（Trachypithecus shortridgei） at the Dulongjiang Valley in Yunnan,China

Non-human primates often live in socially stable groups characterized by bonded relationships among individuals. Social organization can be used to evaluate living conditions and expansion potential. Bisexual group size, ratio of males to females and group composition are essential elements determining the type of social organization. Although the first report on Shortridge’s capped langurs（Trachypithecus shortridgei） was in the 1970 s, until now, the species only inhabits forests of the Dulongjiang valley in northwest Yunnan, China, with c. 250-370 individuals in 19 populations. To understand its social organization, we collected data from five groups of Shortridge’s langurs at Silaluo in the Dulongjiang valley during August 2012-October 2013. Family groups consist of one adult male, 2–3 adult females and up to five young. Group size averaged 8（7-9） individuals. The ratio of adult males to females（M/F） was 1：2.9, infants to adult females was（I/F） 1：2.2; and ratio of adults to immatures was 1：1.2, indicating the potential of a population increasing. Birth season was during March-July and the inter-birth interval was two years.

Post-traumatic stress disorder status in a rescue group after the Wenchuan earthquake relief

Previous studies have suggested that the incidence of post-traumatic stress disorder in earthquake rescue workers is relatively high. Risk factors for this disorder include demographic characteristics, earthquake-related high-risk factors, risk factors in the rescue process, personality, social support and coping style. This study examined the current status of a unit of 1 040 rescue workers who participated in earthquake relief for the Wenchuan earthquake that occurred on May 12th, 2008. Post-traumatic stress disorder was diagnosed primarily using the Clinician-Administered Post-traumatic Stress Disorder Scale during structured interviews. Univariate and multivariate sta-tistical analyses were used to examine major risk factors that contributed to the incidence of post-traumatic stress disorder. Results revealed that the incidence of this disorder in the rescue group was 5.96%. The impact factors in univariate analysis included death of family members, contact with corpses or witnessing of the deceased or seriously injured, near-death experience, severe injury or mental trauma in the rescue process and working at the epicenter of the earthquake. Correlation analysis suggested that post-traumatic stress disorder was positively correlated with psychotic and neurotic personalities, negative coping and low social support. Impact factors in mul-tivariate logistic regression analysis included near-death experience, severe injury or mental trauma, working in the epicenter of the rescue, neurotic personality, negative coping and low social support, among which low social support had the largest odds ratio of 20.42. Findings showed that the oc-currence of post-traumatic stress disorder was the result of the interaction of multiple factors.

Dynamic programming methodology for multi-criteria group decision-making under ordinal preferences

A method of minimizing rankings inconsistency is proposed for a decision-making problem with rankings of alternatives given by multiple decision makers according to multiple criteria. For each criteria, at first, the total inconsistency between the rankings of all alternatives for the group and the ones for every decision maker is defined after the decision maker weights in respect to the criteria are considered. Similarly, the total inconsistency between their final rankings for the group and the ones under every criteria is determined after the criteria weights are taken into account. Then two nonlinear integer programming models minimizing respectively the two total inconsistencies above are developed and then transformed to two dynamic programming models to obtain separately the rankings of all alternatives for the group with respect to each criteria and their final rankings. A supplier selection case illustrated the proposed method, and some discussions on the results verified its effectiveness. This work develops a new measurement of ordinal preferences’ inconsistency in multi-criteria group decision-making （MCGDM） and extends the cook-seiford social selection function to MCGDM considering weights of criteria and decision makers and can obtain unique ranking result.

Online Group Recommendation with Local Optimization

There are some scenarios that need group recommendation such as watching a movie or a TV series,selecting a tourist destination,or having dinner together.Approaches in this domain can be divided into two categories:Creating group profiles and aggregating individual recommender list.Yet none of the above methods can handle the online group recommendation both efficiently and accurately and these methods either strongly limited by their application environment,or bring bias towards those users having limited connections with this group.In this work,we propose a local optimization framework,using sub-group profiles to compute the item relevance.Such method can captures and removes the bias existed in the traditional group recommendation algorithms in a certain degree.It can then be used to derive single-user recommendation.We also propose an approach to overcome the problem caused by dynamic change or user updating about his social network,which detects the target user’s group by analyzing the link types between he and his neighbours,and then use the group information to generate his recommendations.Experimental analysis for group and personal recommendation on three different sizes of MovieLens datasets show fairly good results,our method consistently outperform several state-of-the-arts in efficiency.And we also provide the explanations behind the phenomena during the experiments.