建筑行业群体应激行为治理的社会网络视角分析被引量：1

Social network analysis on group stress behaviors governance in construction industry

下载PDF

导出

摘要从社会网络分析的视角出发,运用社会网络理论和方法对建筑行业群体应激行为的信息传播机制以及在社会影响下的网络个体的演化过程进行研究.通过分析、掌握建筑行业群体事件社会网络中信息流动和传播途径,以及群体应激行为在群体事件中发展轨迹和特点,以帮助建立和完善地方政府将"以人为中心"的柔性治理和"以制度为中心"的刚性治理相结合的刚柔并济、行之有效的治理建筑行业群体应激行为的公共危机风险控制机制,形成反应灵敏、运转高效、功能齐全的建筑行业风险防范管理体系. From the perspective of social network analysis, we focused on the information dissemination mechanism and the evolution of individuals in the social network with social influence by using social network theory and method of group stress behaviors in construction industry. By analyzing the model to understand the information flow and transmission path in the construction industry group incidents and the characteristics and evolution process, local government is helped to improve the ＂people-centered＂ flexible governance and establish a ＂system-centric＂ and rigid governance combined pubic crisis risk control mechanism of construction industry, and thus formulate a full functional risk prevention management system.

作者高凤妮周恩毅

机构地区西安建筑科技大学管理学院

出处《西安建筑科技大学学报（自然科学版）》 CSCD 北大核心 2014年第4期546-552,共7页 Journal of Xi'an University of Architecture & Technology(Natural Science Edition)

基金陕西省社科联课题(2012Z035)

关键词建筑行业群体应激行为社会网络分析社会影响社会参与者 construction industry group stress behavior social network analysis social effect social participants

分类号 C91 [经济管理]

引文网络
相关文献

参考文献23

1Wasserman S.Social network analysis:Methods and applications[M].New York:Cambridge university press,1994.
2Brashears M E.Social Influence Network Theory:A sociological examination of group dynamics[J].J Math Sociol,2013,37(3):192-193.
3PARK C H,KOO J H.An analysis of the influential relationship between cultural promotion activities and social capital in the traditional market:a comparative view with routine merchant activities[J].J Asian Archit Build,2014,13(1):71-78.
4PHANG C W,ZHANG C H,SUTANTO J.The influence of user interaction and participation in social media on the consumption intention of niche products[J].Inform Manage-Amster,2013,50(8):661-672.
5林聚任.社会网络分析[M].北京:北京师范大学出版社,2009:107.
6WATTS D J,STROGATZ S H.Collective dynamics of'small-world'networks[J].Nature,1998,393(6684):440-442.
7NEWMAN M E J,WATTS D J.Scaling and percolation in the small-world network model[J].Phys Rev E,1999,60(6):7332-7342.
8BARABáSI A L,ALBERT R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.
9JAIN R K,GULBINAS R,TAYLOR J E et al.Can social influence drive energy savingsDetecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback[J].Energ Buildings,2013,66:119-127.
10CHAUDHURY A,BASUCHOWDHURI P,MAJUMDER S.Spread of Information in a Social Network Using Influential Nodes[M].Berlin:Heidelberg,Springer 2012.