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.

A comparative study of information diffusion in weblogs and microblogs based on social network analysis

Purpose: This paper intends to explore a quantitative method for investigating the characteristics of information diffusion through social media like weblogs and microblogs.By using the social network analysis methods,we attempt to analyze the different characteristics of information diffusion in weblogs and microblogs as well as the possible reasons of these differences.Design/methodology/approach: Using the social network analysis methods,this paper carries out an empirical study by taking the Chinese weblogs and microblogs in the field of Library and Information Science(LIS) as the research sample and employing measures such as network density,core/peripheral structure and centrality.Findings: Firstly,both bloggers and microbloggers maintain weak ties,and both of their social networks display a small-world effect. Secondly,compared with weblog users,microblog users are more interconnected,more equal and more capable of developing relationships with people outside their own social networks. Thirdly,the microblogging social network is more conducive to information diffusion than the blogging network,because of their differences in functions and the information flow mechanism. Finally,the communication mode emerged with microblogging,with the characteristics of micro-content,multi-channel information dissemination,dense and decentralized social network and content aggregation,will be one of the trends in the development of the information exchange platform in the future.Research limitations: The sample size needs to be increased so that samples are more representative. Errors may exist during the data collection. Moreover,the individual-level characteristics of the samples as well as the types of information exchanged need to be further studied.Practical implications: This preliminary study explores the characteristics of information diffusion in the network environment and verifies the feasibility of conducting a quantitative analysis of information diffusion through social media. In addition,it provides insight into the characteristics of information diffusion in weblogs and microblogs and the possible reasons of these differences.Originality/value: We have analyzed the characteristics of information diffusion in weblogs and microblogs by using the social network analysis methods. This research will be useful for a quantitative analysis of the underlying mechanisms of information flow through social media in the network environment.

基于SNA的城市周边乡村公共空间精准优化研究——以白鹿原地区车村为例

针对城市周边乡村公共空间布局形态与村民需求不匹配的现状,提出“两模型三层级”的乡村公共空间精准优化方法。以西安周边乡村-车村为研究对象,运用社会网络分析法(SNA)构建车村公共空间双层网络模型,即:物质网络模型与村民行为网络模型(两模型)。从“聚落-片区-单点”3个层级(三层级)设计衡量公共空间网络结构特征的相关指标,并通过双层网络模型指标的对比分析,精准定位车村公共空间需要优化提升的要素。最后,基于“社会-空间”互动逻辑,以空间布局形态与村民需求匹配为导向,从聚落布局优化、片区派系完善、单点品质提升三方面提出精准优化策略。

基于改进24Model-ISM-SNA建筑工人不安全行为关联路径研究

建筑施工现场环境复杂,为有效控制不安全行为发生,基于行为安全“2-4”模型对360份具有代表性的建筑安全事故调查报告进行分析,提取出22个不安全行为的主要影响因素。利用灰色关联分析方法(GRA)改进的集成ISM-SNA模型,将不安全行为风险因素划分为表层、过渡层与深层,然后对风险因素进行可视化分析、中心度分析及凝聚子群分析,揭示了各致因因素间的关联关系和传导路径。结果表明,建筑工人不安全行为影响因素可划分成7级3阶的多级递阶结构,安全意识、现场监管、外部环境是建筑工人不安全行为的关键影响因素,同时现场监管和隐患排查到位能有效降低不安全行为的发生。

基于SNA的大型工程项目关键利益相关者和社会稳定风险因素识别

大型工程项目关乎国计民生、影响深远,在多种因素的作用下易引发社会稳定风险,甚至可能引发更深层次的社会危机,为识别出大型工程项目的关键利益相关者和社会稳定风险因素,大型工程项目社会稳定风险研究势在必行。首先,收集61个大型工程项目社会稳定风险事件。然后,通过共现的方法得到“利益相关者-社会稳定风险因素”2-模网络,将数据导入Netdraw软件中,形成可视化的利益相关者-社会稳定风险因素关系网络图,并利用社会网络分析软件Ucinet计算2-模网络的度数中心度。最后,将2-模网络转化为2个1-模网络(利益相关者关系网络/社会稳定风险因素关系网络),识别出大型工程项目的关键利益相关者和社会稳定风险因素。研究结果表明:“利益相关者-社会稳定风险”2-模网络整体密度较高,大型工程项目中社会稳定风险因素和利益相关者关系密切,S6政府部门-R2环境安全风险与S8当地居民-R2环境安全风险是需重点关注的关系;大型工程项目中社会稳定风险中的关键利益相关者是业主、承包商、政府部门、当地居民、网络媒体;关键社会稳定风险因素是环境安全风险、决策信息公开不充分、公众参与不足、应对行为不当、社会舆情。研究成果为大型工程项目社会稳定风险研究提供新的视角,有助于提高大型工程项目管理者的风险认知水平,为管理者决策提供理论依据。

Knowledge flow analysis of knowledge co-production-based climate change adaptation for lowland rice farmers in Bulukumba Regency,Indonesia

To increase the resilience of farmers’livelihood systems,detailed knowledge of adaptation strategies for dealing with the impacts of climate change is required.Knowledge co-production approach is an adaptation strategy that is considered appropriate in the context of the increasing frequency of disasters caused by climate change.Previous research of knowledge co-production on climate change adaptation in Indonesia is insufficient,particularly at local level,so we examined the flow of climate change adaptation knowledge in the knowledge co-production process through climate field school(CFS)activities in this study.We interviewed 120 people living in Bulukumba Regency,South Sulawesi Province,Indonesia,involving 12 crowds including male and female farmers participated in CFS and not participated in CFS,local government officials,agriculture extension workers,agricultural traders,farmers’family members and neighbors,etc.In brief,the 12 groups of people mainly include two categories of people,i.e.,people involved in CFS activities and outside CFS.We applied descriptive method and Social network analysis(SNA)to determine how knowledge flow in the community network and which groups of actors are important for knowledge flow.The findings of this study reveal that participants in CFS activities convey the knowledge they acquired formally(i.e.,from TV,radio,government,etc.)and informally(i.e.,from market,friends,relatives,etc.)to other actors,especially to their families and neighbors.The results also show that the acquisition and sharing of knowledge facilitate the flow of climate change adaptation knowledge based on knowledge co-operation.In addition,the findings highlight the key role of actors in the knowledge transfer process,and key actors involved in disseminating information about climate change adaptation.To be specific,among all the actors,family member and neighbor of CFS actor are the most common actors in disseminating climate knowledge information and closest to other actors in the network;agricultural trader and family member of CFS actor collaborate most with other actors in the community network;and farmers participated in CFS,including those heads of farmer groups,agricultural extension workers,and local government officials are more willing to contact with other actors in the network.To facilitate the flow of knowledge on climate change adaptation,CFS activities should be conducted regularly and CFS models that fit the situation of farmers’vulnerability to climate change should be developed.

基于SNA的IDI制度下住宅工程项目利益相关主体虚拟组织结构设计

将住宅工程项目各阶段涉及的建设单位、政府、保险公司等利益相关主体作为研究对象,采用社会网络分析(SNA)等方法识别IDI制度下住宅工程项目利益相关主体,通过专家访谈量化分析各利益主体间的交互频率、情感强度、熟识性和互惠性分析主体间关系及其空间结构。结果表明:IDI制度下建设单位、施工单位、保险公司、政府部门等4主体属于核心主体位于结构的核心层,其关系紧密有利于实现资源共享和集成管理;其他一般利益主体位于结构的外围层,借助合同形成契约关系,建立短期协作机制完成建造任务。建立“核心-外围”双层网络型虚拟组织结构实现规模经济和质量提升。

Evolution and Governance of the Structure of Marine Economic Networks in China’s Coastal Areas: Based on Sea-related A-share Listed Companies

Data on discrete,isolated attributes of the marine economy are often used in traditional marine economic research.However,as the focus of urban research shifts from internal static attributes to external dynamic linkages,the importance of marine economic net-work research is beginning to emerge.The construction of the marine economic network in China’s coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic development.Employing data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China,we use social network analysis(SNA)to discuss the characteristics of its evolution as of 2010,2015,and 2020 and its governance.The following results were obtained.1)In terms of topological characteristics,the scale of the marine economic network in China’s coastal areas has accelerated and expan-ded,and the connections have become increasingly close;thus,this development has complex network characteristics.2)In terms of spatial structure,the intensity of the connection fluctuates and does not form stable development support;the group structure gradually becomes clear,but the overall pattern is fragmented;there are spatial differences in marine economic agglomeration radiation;the radi-ation effect of the eastern marine economic circle is obvious;and the polarization effect of northern and southern marine economic circles is significant.On this basis,we construct a framework for the governance of a marine economic network with the market,the government,and industry as the three governing bodies.By clarifying the driving factors and building objectives of marine economic network construction,this study aims to foster the high-quality development of China’s marine economy.

Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network:A Case Study of Yangtze River Delta City Cluster,China

City cluster is an effective platform for encouraging regionally coordinated development.Coordinated reduction of carbon emissions within city cluster via the spatial association network between cities can help coordinate the regional carbon emission management,realize sustainable development,and assist China in achieving the carbon peaking and carbon neutrality goals.This paper applies the improved gravity model and social network analysis(SNA)to the study of spatial correlation of carbon emissions in city clusters and analyzes the structural characteristics of the spatial correlation network of carbon emissions in the Yangtze River Delta(YRD)city cluster in China and its influencing factors.The results demonstrate that:1)the spatial association of carbon emissions in the YRD city cluster exhibits a typical and complex multi-threaded network structure.The network association number and density show an upward trend,indicating closer spatial association between cities,but their values remain generally low.Meanwhile,the network hierarchy and network efficiency show a downward trend but remain high.2)The spatial association network of carbon emissions in the YRD city cluster shows an obvious‘core-edge’distribution pattern.The network is centered around Shanghai,Suzhou and Wuxi,all of which play the role of‘bridges’,while cities such as Zhoushan,Ma'anshan,Tongling and other cities characterized by the remote location,single transportation mode or lower economic level are positioned at the edge of the network.3)Geographic proximity,varying levels of economic development,different industrial structures,degrees of urbanization,levels of technological innovation,energy intensities and environmental regulation are important influencing factors on the spatial association of within the YRD city cluster.Finally,policy implications are provided from four aspects:government macro-control and market mechanism guidance,structural characteristics of the‘core-edge’network,reconfiguration and optimization of the spatial layout of the YRD city cluster,and the application of advanced technologies.

基于SNA的消防政务微博网络特征及影响力分析

为探究各级消防政务微博间的互动关系,厘清消防政务微博网络特征及影响力,以省级及以上消防政务微博为研究对象,引入社会网络分析方法,从网络整体机构、网络节点属性及网络子群分析3个方面对我国消防政务微博网络进行分析,全面揭示其总体架构、节点布局、形成规律。研究结果表明:我国省级及以上消防政务微博间形成了紧密、连通的网络结构,网络节点分布呈现出“核心—串联—互动—边缘”特征;消防政务微博的影响力与其在消防政务微博网络中的角色与位置成正相关,中国消防微博为核心机构与意见领袖。从突出核心、强化协同、加强对接、构建矩阵等方面协同发力,推动全国消防政务微博网络深度发展。

基于SNA的危化品道路运输事故致因研究

为明确危化品道路运输事故致因因素及其相互关系,首先,基于事故致因“2-4”模型分析2019—2023年间发生的155起危化品道路运输事故案例,然后,利用社会网络分析(SNA)方法构建危化品道路运输事故致因网络,并进行网络中心性、核心—边缘结构及凝聚子群分析。结果表明:在得到的30项事故致因因素中,14项致因因素位于致因网络的核心区域,其中,操作不当、特殊路段、超速、注意力不集中、安全意识淡薄等5项致因因素对事故发生有着较强的影响力;致因网络中共形成5个凝聚子群,各凝聚子群间以及凝聚子群内各致因因素间关系紧密。研究结果可为提高危化品道路运输安全管理水平提供理论依据。

基于SNA的重大工程社会责任履行影响因素研究

由于工程腐败、安全事故、环境污染等现象频发,重大工程社会责任履行问题受到热议。由于重大工程生命周期漫长,参与主体众多,技术、组织和环境复杂性高,导致其社会责任存在多维复杂和动态交叉性,履行情况难尽人意。本文以四个维度下的15个影响因素为研究对象,运用社会网络分析方法构建重大工程社会责任履行影响因素网络模型,通过网络密度、度数中心度、接近中心度、中间中心度等指标测量各影响因素在网络中的权力和地位。研究结果发现,法律法规制定、社会责任信息披露体系、地方经济发展水平、技术创新水平、各参建方的环保意识对重大工程社会责任履行的影响力较强,是关键影响因素。进而有针对性地提出促进重大工程社会责任履行的对策和建议,助力重大工程可持续发展。

基于N-K模型和SNA的新能源汽车燃爆风险因素耦合分析

新能源汽车燃爆事故涉及人、车、充电设备(桩)和环境等多风险因素。从系统层面确定最大风险耦合形式及关键风险因素对提升我国新能源汽车安全水平具有重要意义。通过收集整理我国2016-2020年发生的191起新能源汽车燃爆事故案例,运用N-K模型计算风险耦合值;利用社会网络分析(Social Network Analysis, SNA)将风险因素作用关系可视化,分析风险因素网络中各节点中心度及可达性;结合N-K模型和SNA对风险节点的出度进行修正,确定新能源汽车燃爆事故中的关键风险因素,并据此提出安全防控策略。结果表明:多风险因素耦合导致事故发生的概率较大;控制车-环两因素风险耦合可有效避免燃爆事故发生;高温、低温、浸水、路面异物碰撞和电池管理系统故障是需要重点防范的关键风险因素。

Building potential patent portfolios: An integrated approach based on topic identification and correlation analysis

Purpose： This paper suggests a framework to identify important patents for building potential patent portfolios based on patents owned by different assignees so as to highlight the value of individual patents in technology transfer and identify potential collaborators for patent assignees. Design/methodology/approach： The analysis framework includes the following steps： l） co-classification analysis based on the International Patent Classification （IPC） codes and Derwent Manual Codes （DMC） to detect sub-tech fields, 2） keyword co-occurrence analysis aiming to understand the core technology information in each patent, and 3） social network analysis used for identifying important technologies and partnerships of key assignees. A case study was conducted with 27,401 chemistry patents filed by a Chinese national research institute. Findings： The results show that this framework is effective in building potential technological patent portfolios based on patents owned by different assignees and identifying future collaborators for the assignees. This integrated approach based on topic identification and correlation analysis that combines network-based analysis with keyword-based analysis can reveal important patented technologies and their connections and help understand detailed technological information mentioned in patents. Research limitations： In keywords analysis, only titles and abstracts of patent documents were used and weights of keywords in different parts of the documents were not considered.Practical implications： The analysis framework provides valuable information for decision- makers of large institutions which have many patents with broad application prospects. Originality/value： Different from previous patent portfolio studies based on the use of a combination of patent analysis indicators, this study provides insights into a method of building patent portfolios to discover the potential of individual patents in technology transfer and promote cooperation among different patent assignees.

诉求统筹下城中村改造利益相关者协同治理——以天津市北辰区改造项目为例

利益相关者协同治理是推动城中村改造项目顺利高效实施的关键,但改造实践中各阶段利益相关者关系及利益诉求错综复杂。以天津市北辰区改造项目为例,采用社会网络分析方法,系统、全面地分析项目各阶段利益相关者关系及其诉求的网络特征、演化规律。结果表明,拆迁安置补偿阶段利益相关者利益诉求协调难度最高;同一利益主体在项目不同阶段的角色功能差异明显;建设公众满意的生活环境是多元利益相关者的核心利益诉求。采用社会网络分析方法,剖析利益相关者关系及诉求协调的重点问题,为城中村改造利益相关者协同治理提供科学参考与依据。

基于SNA的建设项目BIM应用价值研究

基于整体视角,研究BIM在工程项目建设中的应用价值,为工程项目建设各阶段如何深化BIM应用提供参考。以140篇文献和40个工程案例为样本,提取了包含50个BIM应用价值点的清单;利用社会网络分析法(SocialNetwork Analysis,SNA)建构M和C两类关系网络,对BIM技术的应用现状进行可视化的定量分析。结果表明:在BIM应用中4D可视化和施工模拟的频数最高;施工方案优化、辅助出图和图纸审核、深化设计的理论研究有限;提高组织间信任、辅助绩效管理的案例研究较少;信息集成的理论研究与案例研究差距最大。

面向飞行全过程的民航事故致因关联网络分析

为提升我国民航安全水平,面向“滑行—起飞—爬升—巡航—下降—进近与着陆”的飞行全过程,提出一种基于关联规则和社会网络分析(SNA)的致因分析方法。首先,搜集中国民航安全信息系统2010—2022年共1051起民航事故案例,结合《控制航行服务程序—培训》,建立基于“人—机—环—管”的民航事故致因体系;其次,采用EasyData数据服务平台进行标注,构建面向飞行全过程的民航事故致因数据集,基于FP-Growth算法挖掘以飞行阶段为规则后项的关联规则;最后,考虑关联规则的共现频率,构建民航事故致因关联网络,开展飞行阶段与事故致因的中心性分析。结果表明:进近与着陆阶段是飞行过程中风险最大的阶段,运行失效、跑道安全事故和客舱安全事故是主要事故类型,在挖掘出的10个民航事故关键致因因素中,人为因素4个、设施设备因素2个、环境因素3个、管理因素1个。

中国PPP项目商业模式创新的阻碍因素及对策研究——基于社会网络分析的视角

推动我国政府和社会资本合作模式(public-private-partnership,PPP)项目的商业模式创新的关键在于发现其阻碍因素并制定相应的破解对策。基于文献分析设计访谈提纲,通过对访谈资料的三级编码识别出PPP项目商业模式创新的20个阻碍因素;运用社会网络分析构建阻碍因素间的联动网络,并分析了节点度数、中间性中心度、亲密中心度等阻碍因素的联动网络特征,确定了7个关键阻碍因素:社会资本-项目运营经验不足,项目公司-合同设计欠完善、高管的作风保守、合作关系恶劣,政府部门-态度保守、过度干预、缺少政策支撑;据此提出了3条破解对策:完善PPP项目商业模式创新的政策环境、公私双方在PPP项目采购阶段做好相互选择、以按照贡献进行利益分配为核心原则设计合同。

基于SNA的大型工程项目组织总控机制及实证

基于社会网络分析(SNA)理论,将正式组织和非正式组织要素进行集成考虑,总结了大型工程项目组织的8类社会网络要素,并建立了总体模型结构.借鉴于SNA的参数定义和公式表达,建立了衡量大型工程项目组织的紧密关系、小团队、中心性、权力、中介性、角色和职位结构同型的定量分析方法,并论述了社会网络模型对组织总控的作用和价值.以世博工程建设组织为案例,进行了社会网络模型和总控机制的应用实证分析.结果显示,集成的社会网络模型和方法论对于评价组织凝聚力、寻找关键组织单元、权力和小团体分析以及组织总控策略的制订都有重要作用.

基于SNA的国内竞争情报领域作者合作关系研究

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