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.

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.

Bibliometric analysis of subject trends and knowledge structures of gut microbiota

BACKGROUND Gut microbiota is an emerging field of research,with related research having breakthrough development in the past 15 years.Bibliometric analysis can be applied to analyze the evolutionary trends and emerging hotspots in this field.AIM To study the subject trends and knowledge structures of gut microbiota related research fields from 2004 to 2018.METHODS The literature data on gut microbiota were identified and downloaded from the PubMed database.Through biclustering analysis,strategic diagrams,and social network analysis diagrams,the main trend and knowledge structure of research fields concerning gut microbiota were analyzed to obtain and compare the research hotspots in each period.RESULTS According to the strategic coordinates and social relationship network map,Clostridium Infections/microbiology,Clostridium Infections/therapy,RNA,Ribosomal,16S/genetics,Microbiota/genetics,Microbiota/immunology,Dysbiosis/immunology,Infla-mmation/immunology,Fecal Microbiota Transplantation/methods,Fecal Microbiota Transplantation can be used as an emerging research hotspot in the past 5 years(2014-2018).CONCLUSION Some subjects were not yet fully studied according to the strategic coordinates;and the emerging hotspots in the social network map can be considered as directions of future research.

Investigation of the Effect of Acceptance and Commitment Psychotherapy (ACT) on Quality of Life of Adult Women Suffering from Obesity

Background and Purpose: Quality of life as an important factor in health is very important. This study is looking for an appropriate and effective treatment for improving quality of life. This research aims to study the psychological effect of acceptance and commitment therapy (ACT) on quality of life of adult women suffering from obesity. Methods and Materials: This research is a kind of half-trail, with pattern of pre-test, post-test and group control. Statistical population includes all over-weight women with body mass index (BMI) range (30 - 40) who participated in family training sessions held in Shahin Shahr city. 40 patients who had the characteristics for sampling were selected and randomly placed in test and control groups (each group 20 people). Participants in each group before and after intervention quality of life questionnaire with 100 question sample World Health Organization Quality of Life (WHOQOL)-100 were evaluated. 12 sessions of acceptance and commitment therapy in group was used. The obtained data were analyzed with the use of Sciences Statistical Package for the Social (SPSS) 18 statistical software and methods of analysis of covariance. Findings: After selection of adult women having a BMI between 30 and 40 based on availability who had attended the meeting of family education, by invitation and voluntary, they were randomized into experimental and control groups. Intervention was done for experimental group. Due to the result of covariance analysis on the post-test stage, examination group showed significant improvement in variants physical health dimensions, level of independence in social and environmental relationships and spirituality (p < 0.01). Conclusion: According to the findings of this research based on the impact of acceptance and commitment intervention on promotion and improving in quality of life, this treatment can be used for improving the variants in women suffering from over-weight and obesity.

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.

Intra-Organizational Social Media and Employee Idea Generation:Analysis based on the Spanning-Relevance Framework

Intra-organizational social media platforms are expected to help build a flexible corporate stage that facilitates employees'communication and leverages creative idea generation.However,whether and how these systems can expedite the creativity of employees remains unclear.This paper attempts to address the impacts of employees'social relationships on intra-organizational social media on their idea generation quantity and quality.Drawn upon the extant literature in the fields of information systems and organizational behavior,a theoretical model is postulated on the basis of analyzing the attributes of social ties and exchanged information content in light of a two-dimensional framework that juxtaposes boundary spanning and work relevance.The model is empirically tested using data obtained from two internal application systems of a large telecommunications company.Test results validate that employees'online social relationships with different attributes are discriminably associated with their group identification and proactive creativity.Meanwhile,proactive creativity and group identification both show the positive impacts on idea generation quantity,whereas only proactive creativity has a significant positive impact on idea generation quality.These findings contribute to the literature on intra-organizational social media and employee idea generation,by uncovering the links among employees'online social relationships,mental processes,and idea generation.

A framework to evaluate whether to pool or separate behaviors in a multilayer network

A multilayer network approach combines different network layers,which are connected by interlayer edges,to create a single mathematical object.These networks can contain a variety of information types and represent different aspects of a system.However,the process for selecting which information to include is not always straightforward.Using data on 2 agonistic behaviors in a captive population of monk parakeets(Myiopsitta monachus),we developed a framework for investigating how pooling or splitting behaviors at the scale of dyadic relationships(between 2 individuals)affects individual-and group-level social properties.We designed 2 reference models to test whether randomizing the number of interactions across behavior types results in similar structural patterns as the observed data.Although the behaviors were correlated,the first reference model suggests that the 2 behaviors convey different information about some social properties and should therefore not be pooled.However,once we controlled for data sparsity,we found that the observed measures corresponded with those from the second reference model.Hence,our initial result may have been due to the unequal frequencies of each behavior.Overall,our findings support pooling the 2 behaviors.Awareness of how selected measurements can be affected by data properties is warranted,but nonetheless our framework disentangles these efforts and as a result can be used for myriad types of behaviors and questions.This framework will help researchers make informed and data-driven decisions about which behaviors to pool or separate,prior to using the data in subsequent multilayer network analyses.

Impact of Strangers on Opportunistic Routing Performance

Routing is one of the challenging tasks in Delay Tolerant Networks （DTNs）, due to the lack of global knowledge and sporadic contacts between nodes. Most existing studies take a greedy scheme in data forwarding process, i.e., only nodes with higher utility values than current carriers can be selected as relays. They lack an in-depth investigation on the main features of the optimal paths in Epidemic. These features are vital to any forwarding scheme that tends to make a trade-off between packet delivery delay and cost. This is mainly because Epidemic provides an upper bound on cost and a lower bound on delivery delay. Therefore, a deep understanding of these features is useful to make informed forwarding decisions. In this paper, we try to explore these features by observing the roles of different social relationships in the optimal paths through a set of real datasets. These datasets provide evidence that strangers have two sides in data forwarding process, and that the importance of strangers shows a decreasing trend along the forwarding paths. Using this heuristic knowledge, we propose STRON, a distributed and lightweight forwarding scheme. The distributed feature makes it very suitable for opportunistic scenarios and the low communication and computation features make it easy to be integrated with state-of-the-art work. The trace-driven simulations obviously confirm its effectiveness, especially in terms of packet delivery delay and cost.

血缘共同体规定下的传统手工业村落适应性变迁——山西省新绛县西庄石匠村个案研究

As an important witness to the rural industry in the agricultural era,traditional handicraft villages have attracted renewed attention in the contemporary context of intangible cultural heritage protection.The dual characteristics of their traditional cultural heritage and modern economic benefits make these villages an important carrier of the dynamic inheritance and development of the heritages under the background of rural revitalization.This paper takes a stonemason village of Xizhuang in Xinjiang County,Shanxi Province,as an example,and reveals the evolutionary characteristics of traditional handicraft villages in the process of transition from agricultural to industrial society from the“social-spatial”perspective.In the agricultural era,the kinship,production organization,and religious beliefs of traditional handicraft villages were closely linked under the blood relationship in a clan-based structure,forming a“social-spatial”trinity composed of“residence,production,and spirit.”In the industrial era,the development of handicraft economy results in the transformation of the“social-spatial”form of the settlement,the social structure shrank from clan control to nuclear family domination,the production space began to be stripped away from villages,the living space changed from gathered clan living to separated-family homes,and the spiritual place was transformed into public space.However,due to the inter-generational transmission of handicrafts based on blood relationship,the consanguinity community has always been the main carrier for the continuity of skills,and has become the stable foundation for maintaining the“social-spatial”form of the village.Therefore,the adaptive transition of traditional handicraft villages in the context of socio-economic transformation continues the interconnection among society,economy,and space,and presents a unique vitality and comparative stability.