Dynamic organizations. How to measure evolution and change in organizations by analyzing email communication networks

被引:4
|
作者
Zenk, Lukas [1 ]
Stadtfeld, Christoph [2 ]
机构
[1] Danube Univ Krems, Dept Knowledge & Commun Management, Res Ctr KnowComm, A-3500 Krems, Austria
[2] Karlsruhe Inst Technol, IME Grad Sch, Inst Informat Syst & Management, D-76131 Karlsruhe, Germany
关键词
dynamic networks; organizational network analysis; social network analysis; teams; exponential random graph models; MODELS;
D O I
10.1016/j.sbspro.2010.07.479
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Since organizations are dynamic systems, they change over time. Communication within organizations represents these changes. The use of social network analysis is an established (although still not common) approach to better understanding organizational structures. Methods and business applications for dynamic analyses are still a new, though promising field. The increasing use of computer mediated communication, like email, provides particularly relevant data for studying organizations. Focusing exclusively on the changes in the use of email communication over time, two different methodological approaches are used to analyze the email data stream: descriptive network visualizations and a new model using exponential random graph models for event stream data. In a simulation with 97 students, a merger of two different organizations was replicated.
引用
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页码:14 / 25
页数:12
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