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。

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。

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.

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。

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.

基于网络游记的海岛旅游体验研究——以长山群岛为例

以大连市长山群岛为案例地,以携程、马蜂窝在线旅游网站关于长山群岛的旅行游记为数据来源,以具身理论作为研究视角运用内容分析法对游记文本进行海岛旅游体验要素编码和打分。利用社会网络分析法(SNA)及“重要-表现程度”分析法(IPA)对其要素结构特征及各要素旅游体验质量进行深入分析。结果显示:(1)长山群岛旅游具身体验要素包含环境体验、身体体验、服务体验、心境体验4个维度及23个海岛旅游体验要素构成;(2)通过社会网络分析结果显示,长山群岛旅游具身体验要素网络结构具有高密度、内部协调度高的特征。海岛住宿、独特娱乐、餐饮美食是长山群岛旅游最核心三大要素;(3)重要-表现性分析结果显示,长山群岛游客旅游体验整体满意度较高,但部分要素评价较低。根据研究结论,对长山群岛未来旅游发展提出相应对策和建议。

基于SNA的健康信息研究

基于SNA,从网络密度、中心性和凝聚子群等多个角度,探究我国图书馆健康信息服务的研究热点,为图书馆履行健康信息服务职能提供建议.

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。

SNA在专利分析中的应用研究

对社会网络分析方法在专利分析中的应用进行探讨。在研究社会网络分析原理和专利情报分析内容的基础上,以集成电路中的半导体芯片相关专利为研究对象进行实证分析。实证研究表明,应用社会网络分析方法能使专利分析的结果更加全面、丰富。社会网络分析在情报获取、战略制定等方面能给专利分析提供更多有价值的参考信息。

基于SNA的国内竞争情报领域作者合作关系研究

科学研究中的作者合作关系对于资源共享、思想交流、知识传播、信息获取等方面都具有重要的意义。文章以社会网络分析为主,辅以作者关键词耦合分析和因子分析,对国内竞争情报领域作者的合作关系进行深层次探索,并通过合作网络结构分析发现了该领域内潜在的合作团体以及其相应的研究主题,从而对作者间的知识交流以及政策制定提供一定启示。

基于SNA的iConference论文作者合作情况研究

搜集整理2008-2012年iConference会议论文,利用UCINET及Pajek构建作者合作网,并根据合作网络群体的连接特点,将作者合作网络分为单核模式、完备模式、桥梁模式及多团体合作模式。再对所有合作子网的作者机构进行统计分析,从而证明iSchool跨机构、跨领域及与产业应用结合的成果比较明显,并且有进一步发展可能。

基于SNA的我国绿色建筑项目风险关联关系研究

绿色建筑项目较一般建筑项目面临着更加复杂的风险系统,各风险之间具有复杂的关联关系,风险关联关系决定着整个项目的风险程度。从社会网络分析(social network analysis)的视角来研究绿色建筑项目的风险关联关系,构建了绿色建筑项目风险关联关系网络,利用社会网络分析工具Pajek软件进行风险关联关系网络的参数计算,使用k核与社会网络参数相结合的研究方法,对绿色建筑项目的风险关联关系进行综合分析与评估。得到了绿色建筑项目风险网络的11核凝聚子网络,较原风险网络的顶点数量降低53%,密度提升49.7%。根据11核子网络进一步识别出绿色建筑项目中的可控关键风险和首要控制风险,并提出了风险治理策略。

基于SNA的科学计量学领域作者互引网络分析

总体来讲，作者之间的引证关系可以大致分成共被引、耦合和互引三个方面。其中，作者共被引分析自1981年被引入之后，便在探讨学科结构及其研究现状和趋势方面产生了极为广泛的应用。后来，2008年作者耦合概念的提出和实证探索又为学者利用耦合关系研究学科前沿、揭示学科知识结构提供了进一步发掘的空间。在作者互引方面，还多集中在基于引用认同和引证图像的引证行为本身的描述，而对于作者引证关系背后所隐含的知识交流、作者研究相关度、学术共同体发现等方面却没有过多的涉及。针对以上问题，笔者将以科学计量学领域内的核心作者为实证对象，在作者互引关系研究方面作出进一步系列的探索，以期对科学计量学的发展和引文分析的深入应用提供参考，其中本文主要利用社会网络分析方法对科学计量学领域作者互引关系及其网络结构进行深入探索，从互引角度为作者研究相关性、学术地位及知识交流情况提供一定的启示，从而也为后续研究做好铺垫。

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的指挥控制关系及其中心性分析

社会网络分析方法(Social Network Analysis,以下简称SNA)是指挥控制关系研究领域新近引入的一种有效的定量分析方法。从社会学的角度分析了指挥控制关系网络中权力的"影响"和"支配"两个维度,研究了C2组织中的指挥控制权力和指挥控制关系。结合一个想定,从点度中心性和中间中心性两个方面介绍了指挥控制关系中心性研究的基本思路,并且借助于社会网络分析应用软件,对想定中的C2组织进行了中心性的实际计算和分析,得出的结论对于C2组织及指挥控制关系的设计和建模仿真具有重要意义。