Evaluations on social network analysis (SNA) research in China's Mainland:A critical assessment of journal literatures

Social network analysis(SNA) has been introduced to China's Mainland since the end of last century. It is often stated that SNA research has experienced rapid growth in China over these years, but few studies have been conducted to prove the statement. This paper aims at exploring the research status and development of SNA in China by a critical assessment of journal articles. Our findings show that SNA is an evolving and diversified research area which has rich themes and topics, and can be applied to those studies on different levels, context and disciplines, and attract researchers and scholars from various fields and domains. In addition, the information community(Library & Information Science and Information Systems) plays a leading role in the SNA related researches. The paper also points out the research on SNA in China has some limitations, so it proposes several implications for the future development of SNA research from perspectives of information science.

Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS

To evaluate the effectiveness of weapon systems, the advantages and disadvantages of grey relational analysis and TOPSIS for multiattribute decision-making is pointed out, and an effectiveness evaluation model of weapon systems by combining grey relational analysis and TOPSIS is proposed. The model aggregates the grey relational grade and the distance to a new integrated closeness and reflects not only the trend but also the situation of the alternative. The example illuminates that the model is effective for the effectiveness evaluation of weapon systems.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

The Application and Effect Evaluation of Corpus Linguistics in English Teaching

This paper explores the application and effect evaluation of corpus linguistics in English teaching.It first introduces the basic concepts and development history of corpus linguistics,then analyzes its connection with language teaching theories,discussing the advantages and challenges of using corpora in language teaching.Next,it delves into the methods and technologies for building and utilizing corpora,as well as their role in developing teaching resources.Lastly,within the framework and methods of teaching effect evaluation,specific application cases of corpus linguistics in teaching design are analyzed,and their effects are assessed.Recommendations for teaching improvement and future development directions are also proposed.

Social Influence Analysis： Models, Methods, and Evaluation

Social influence analysis （SIA） is a vast research field that has attracted research interest in many areas. In this paper, we present a survey of representative and state-of-the-art work in models, methods, and eval- uation aspects related to SIA. We divide SIA models into two types： microscopic and macroscopic models. Microscopic models consider human interactions and the structure of the influence process, whereas macroscopic models consider the same transmission probability and identical influential power for all users. We analyze social influence methods including influence maximization, influence minimization, flow of influence, and individual influence. In social influence evaluation, influence evaluation metrics are introduced and social influence evaluation models are then analyzed. The objectives of this paper are to provide a comprehensive analysis, aid in understanding social behaviors, provide a theoretical basis for influencing public opinion, and unveil future research directions and potential applications.

Evaluation of social network conservation in historical areas of mountainous towns in Chongqing, China

Over recent decades,historical areas conservation has become an important strategy to improve urban competitiveness in the global economy.As shown in existing studies that the conservation of historical areas mainly focused on the physical environment,there is still room for the non-physical study,and researches on the social network conservation in mountainous historical areas are particularly insufficient.Therefore,this paper aims to establish an evaluation system which is helpful for the social network conservation of historical areas.The evaluation system is based on social network analysis and the information of social relationships gathered in field surveys using a specifically designed questionnaire method in four mountainous towns in Chongqing,China.And it was analyzed from three perspectives,i.e.,by the basic statistical properties,condensate subgroup,and centrality.Then five analysis indicators were conceived,including density,lambda set,k-core,degree centrality,and betweenness centrality.The analysis results demonstrate that the social networks of the four towns show different indicators,which are respectively relevant to completeness degree,edgerelatedness level,local stability,structural balance,and concentrated trend of social relationships.Results from SNA modeling indicate that neighborhood residents of historical areas who have more stable and healthier social relationships are relatively not easily be destroyed.The results also illustrate that the social networks structure is influenced by the terrain,form,and function of historical areas,and the change of historical areas is caused by"individual-family-society".Finally,the strategies guiding the social network conservation are put forward from two aspects.These findings suggest that the conservation and management of social network and aborigines in historical areas should be emphasized to increase the collective benefits and vitality.

Comprehensive evaluation weight-variable identification model of top coal caving effect and its application

Based on the theory of attribute identification, a weight-variable identification model was put forward on top coal caving effect in fully mechanized top coal caving face. Contribution value of all kinds of evaluation factor of the caving coal and waste were used to determine weight coefficient. And then comprehensively estimated it by the given credible degree value. This kind of method can not only classify for attribute identification, but also can classify it into sub-classification according to comprehensive score compositor that of the same attribute. The comprehensive estimate result of plane and solid caving experiments shows that the result is true, credible, simple and that is not only one of the effective method of theory study, but also can be regarded as a quantitative examine method of the top coal caving effect in scene.

Research on Tourism Resources Development Pattern Effect Evaluation based on Regression Analysis and Neural Network

In this paper, we conduct research on the tourism resources development pattern effect evaluation based on regression analysis andneural network. Tourism resources development and the protection of all sorts of the contradictions, in the fi nal analysis is the confl ict betweenthe interests of stakeholders. Real life in China, and tourism resources development and protection of the interests of the relevant party basicallyhas the following six parties the local government, investment and the business practice, the original residents, tourists, tourism practitioners, thesocial organization. The survival and the development of general tourism industry is based on the premise of environmental protection, tourismlandscape are carefully protected, let the natural landscape and human landscape form a virtuous cycle, to attract more tourists, promote thesustainable development of scenic spots. Under this basis, this paper proposes the new idea on the issues that is meaningful.

System failure analysis based on DEMATEL–ISM and FMECA

A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.

Research on the effect estimation of seismic safety evaluation

Seismic safety evaluation is a basic work for determining the seismic resistance requirements of major construc-tion projects. The effect, especially the economic effect of the seismic safety evaluation has been generally con-cerned. The paper gives a model for estimating the effect of seismic safety evaluation and calculates roughly the economic effect of seismic safety evaluation with some examples.

The Influence Evaluation of Tourism on Chinese Rural People Living in Minority Areas

In this paper, through understanding the basic situation of three villages at different stages of life cycle development about tourism, using the method of grey correlation analysis from the quantitative aspects, the results show that impact assessment on rural tourism in different stages is different [1]. The impact on tourism stable stage is the most;tourism decline stage is relatively weak;tourism development stage is the weakest.

Hydraulic Fracture Parameter Inversion Method for Shale GasWells Based on Transient Pressure-Drop Analysis during Hydraulic Fracturing Shut-in Period

Horizontal well drilling and multi-stage hydraulic fracturing are key technologies for the development of shale gas reservoirs.Instantaneous acquisition of hydraulic fracture parameters is crucial for evaluating fracturing effectiveness,optimizing processes,and predicting gas productivity.This paper establishes a transient flow model for shale gas wells based on the boundary element method,achieving the characterization of stimulated reservoir volume for a single stage.By integrating pressure monitoring data following the pumping shut-in period of hydraulic fracturing for well testing interpretation,a workflow for inverting fracture parameters of shale gas wells is established.This new method eliminates the need for prolonged production testing and can interpret parameters of individual hydraulic fracture segments,offering significant advantages over the conventional pressure transient analysismethod.The practical application of thismethodology was conducted on 10 shale gaswellswithin the Changning shale gas block of Sichuan,China.The results show a high correlation between the interpreted single-stage total length and surface area of hydraulic fractures and the outcomes of gas production profile tests.Additionally,significant correlations are observed between these parameters and cluster number,horizontal stress difference,and natural fracture density.This demonstrates the effectiveness of the proposed fracture parameter inversion method and the feasibility of field application.The findings of this study aim to provide solutions and references for the inversion of fracture parameters in shale gas wells.

MF-CFI:A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application.It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism.In order to make the evaluation method more computationally intelligent,a Multi-Feature Camouflage Fused Index(MF-CFI)is proposed based on the comparison of grayscale,color and texture features between the target and the background.In order to verify the effectiveness of the proposed index,eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index(UIQI),Camouflage Similarity Index(CSI)and Structural Similarity(SSIM).Twenty-four different simulated targets are designed in a grassland background,28 observers participate in the experiment and record the eye movement data during the observation process.The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data,both in the designed digital camouflage patterns and largespot camouflage patterns.Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception,the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.

The Implementation Effects of a Nationwide Sloping Farmland Soil Erosion Control Project in China

To understand implementation of a nationwide sloping farmland soil erosion comprehensive control project during China＇s 12 th Five-Year Plan we used data collection and expert consultation. We selected 24 indexes across three aspects including project management, engineering construction and implementation benefit and used AHP-grey correlation analysis methods. We found that the scores for engineering construction were greater than 0.65 in most of the provinces, autonomous regions and municipalities. These scores are high and scores for project management and implementation benefit are between 0.45–0.65; however, overall scores are low. The comprehensive evaluation results are normally distributed. The composite scores for Sichuan, Yunnan and Guizhou are 0.71, 0.68 and 0.68 respectively, indicating that the implementation effects are good. The scores for Jilin and Liaoning are 0.38 and 0.42 respectively, indicating that the implementation effects need improvement. Scores for other provinces are between 0.45–0.65 and the effects are medium. The evaluation results show certain zonal rules spatially and the implementation effect in karst regions of Southwest China is the highest, followed by the purple soil region in Southwest China, Loess Plateau region of Northwest China, earth-rock mountain region of North China and red soil hilly region of South China. The implementation effect in the black soil region of Northeast China suggests that improvement is needed in this region.

成渝经济圈铁路客运网络结构特征演变及网络效应研究

分析成渝经济圈铁路客运网络的空间联系和结构特征演变对未来铁路网络建设和布局优化有着重要意义。基于46863617条铁路客运数据构建2015—2017年成渝经济圈铁路客运网络,采用GIS空间分析方法和网络分析方法对连续时序下铁路客运联系时空演变、网络结构特征演变以及网络结构对经济和人口的影响效应展开分析。结果表明,成渝经济圈铁路客运联系极化现象明显,客运流量主要集中在成都,其次是绵阳、重庆主城区和德阳,其余城市占据不到20%的客运流量;成渝经济圈铁路客运网络密度逐年上升,但仍处在较低水平;铁路客运网络具有较低的平均路径长度和较高的平均聚类系数,客运网路呈现小世界特性;成都和重庆主城区的度数中心性和中间中心性远超其余城市;成渝经济圈铁路客运的通达性很大程度上是由于成都和重庆主城区的中介作用,大多数城市之间不存在铁路客运联系;度数中心性、接近中心性和中间中心性对GDP的影响为正,且通过了1%的显著性水平检验;度数中心性和中间中心性对人口的影响为负,分别通过了5%、10%的显著性水平检验,处于中心地位的城市不利于人口常住。

社会网络分析视角下的工业遗产空间改造策略——以三邻桥社区中心项目为例

随着城市扩张速度的减慢,城市工业遗产的改造成为了一个新的研究方向,对工业遗产建筑现有空间进行合理再利用是改造项目中的一大要点。工业建筑改造过程中存在功能布局、空间可达性、空间序列多样性三个客观问题亟需解决,以上海三邻桥社区中心改造项目为例,使用社会网络分析法对三邻桥厂区空间的相关指标进行分析,提出针对性的优化策略。通过对改造后的空间重新构建空间网络模型再次分析验证了厂区的空间结构得到优化。利用社会网络分析法为将工业遗产建筑改造为公共建筑提出了空间方面的策略,可以为类似的项目提供参考。

基于网状Meta分析对8个经典名方治疗不稳定型心绞痛的临床疗效评价

目的:运用网状Meta分析方法系统评价8种经典名方联合西医常规治疗不稳定型心绞痛(UAP)的临床疗效,并分别进一步比较不同经典名方治疗实证和虚证(包括虚实夹杂)2大证型的疗效。方法:检索并筛选中文科技期刊数据库(CCD)、中国生物医学文献数据库(CBM)、中国国家知识基础设施数据库(CNKI)与中国学术期刊数据库(CSPD)等数据库中关于8个经典名方(血府逐瘀汤、补阳还五汤、四妙勇安汤、丹参饮、炙甘草汤、枳实薤白桂枝汤、瓜蒌薤白半夏汤、化痰祛瘀通脉汤)联合西医常规治疗UAP的随机对照试验(RCT),检索时限从各数据库建库至2022年1月14日,采用Stata 16.0软件进行网状Meta分析。结果:共纳入60个RCT,总计5088例UAP患者,涉及9种干预措施。其中,UAP属实证的有41个RCT,UAP患者共3432例,涉及5种干预措施;虚证或虚实夹杂共13个,共1130例患者,涉及4种干预措施。网状Meta分析结果提示,枳实薤白桂枝汤+西医常规治疗总有效率最优,UAP属实证者,四妙勇安汤+西医常规治疗最佳;虚证或虚实夹杂者,补阳还五汤+西医常规治疗最佳;心电图改善方面,四妙勇安汤疗效最佳;枳实薤白桂枝汤+西医常规在降低超敏C反应蛋白(hs-CRP)改善炎症反应方面更优。结论:与西医常规治疗UAP比较,枳实薤白桂枝汤联合西药常规治疗疗效较显著。但仍需要纳入更多高质量的RCT证实。

中国降碳-减污-扩绿-增长协同发展空间关联网络特征及影响因素研究

协同推进降碳-减污-扩绿-增长已成为我国经济社会发展全面绿色转型的必然选择。基于我国30个省份面板数据(不包含港澳台地区以及西藏自治区数据),运用熵值法、耦合协调度模型和社会网络分析方法,分析各省份间降碳-减污-扩绿-增长协同演变趋势及空间关联网络特征。结果表明:①各省份降碳-减污-扩绿-增长协同效应的变化趋势基本一致,但在空间上呈现东部>东北>西部>中部的区域不均衡特征。②降碳-减污-扩绿-增长协同效应呈现以东部地区为核心的复杂空间网络结构,省际间空间关联性呈上升态势,但网络结构稳定性还有待提高。③北京市、天津市和上海市等地区凭借优越区位,在关联网络中处于主导地位,而宁夏回族自治区、黑龙江省和新疆维吾尔自治区等地区对其他地区的影响较小。④北京市、天津市和上海市等地区属于“主受益”板块,浙江省、广东省等地区属于“经纪人板块”,安徽省、江西省和湖北省等地区属于“净溢出”板块。⑤降碳-减污-扩绿-增长协同效应的空间关联网络受多种因素共同影响,人力资本水平、科技投入、市场化水平和数字经济发展均有利于空间关联关系的建立。研究显示,中国降碳-减污-扩绿-增长协同效应存在空间关联性,需进一步加强省份间的绿色合作与交流,共同推动降碳-减污-扩绿-增长协同发展。

降雨作用下考虑结构面劣化的边坡块体稳定性评价

降雨是诱发边坡失稳,发生崩塌、落石、滑坡的一个主要诱因,降雨作用下结构面强度会发生劣化,导致边坡块体失稳塌落,引起地质灾害,对人民生命财产构成严重威胁。基于离散元数值分析方法,考虑降雨作用对结构面抗剪强度的影响,分析结构面强度参数劣化及孔隙水压力变化规律,建立抗剪强度劣化模型;结合坐标投影原理提出考虑降雨作用下结构面强度劣化效应的块体稳定性系数计算方法;基于有限元分析方法研究降雨强度与降雨历时对岩质边坡块体稳定性的影响,并进一步分析稳定性系数与降雨强度及降雨历时的关系,提出降雨作用下考虑结构面劣化的边坡块体稳定性评价方法。研究表明,不同含水率作用下结构面的抗剪强度劣化不仅受黏聚力和内摩擦角影响,还与孔隙水压力有关,针对单滑面和双滑面型块体构建了考虑结构面降雨劣化的稳定性分析数学模型,提出的以降雨时长、降雨强度和块体稳定性关系曲线的共同评价体系可为边坡块体稳定性评价提供科学依据,并推动边坡地质灾害防治和工程建设发展。