Group Processes: Data-Driven Computational Approaches
暫譯: 群體過程：數據驅動的計算方法
Pilny, Andrew, Poole, Marshall Scott
- 出版商: Springer
- 出版日期: 2018-08-07
- 售價: $5,380
- 貴賓價: 9.5 折 $5,111
- 語言: 英文
- 頁數: 206
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3319840533
- ISBN-13: 9783319840536
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相關主題
商品描述
Indeed, the use of methods under the name of computational social science have exploded over the years. However, attention has been focused on original research rather than pedagogy, leaving those interested in obtaining computational skills lacking a much needed resource. Although the methods here can be applied to wider areas of social science, they are specifically tailored to group process research.
A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. In order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon.
This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups.
商品描述(中文翻譯)
本卷介紹了一系列不同的數據驅動計算方法，通過教學和教程範例來分析群體過程。群體過程對於社會的許多領域至關重要，包括政府、軍事、醫療保健和企業。計算方法比傳統方法更適合處理（潛在龐大的）群體過程數據，因為它們具有更靈活的假設和處理實時追蹤數據的能力。
事實上，隨著時間的推移，以計算社會科學為名的方法使用量激增。然而，注意力主要集中在原始研究上，而非教學，這使得那些希望獲得計算技能的人缺乏所需的資源。儘管這裡的方法可以應用於更廣泛的社會科學領域，但它們特別針對群體過程研究進行了調整。
本卷展示了一些適應於群體過程研究的數據驅動方法，包括文本挖掘、關聯事件建模、社會模擬、機器學習、社會序列分析和響應面分析。為了利用這些新機會，本書提供了清晰的範例（例如，提供代碼）來展示各種情境下的群體過程，並為未來的工作設定指導方針和最佳實踐。
本卷將對那些願意學習計算方法的人帶來巨大益處。這些人包括研究生和教職員等學術界人士、多學科專業人士和從事組織與管理科學研究的研究人員，以及各類組織和團體的顧問。
作者簡介
Andrew Pilny (Ph.D., University of Illinois) is an assistant professor in the Department of Communication at the University of Kentucky. His main research areas concern the development of effective organizing social systems and structures. His research has been applied to nonprofit organizations, social movement groups, work teams, and dark organizations. Andy also specializes in social network analysis.
Marshall Scott Poole (Ph.D., University of Wisconsin) is the David L. Swanson Professor of Communication, Senior Research Scientist at the National Center for Supercomputing Applications, and Director of I-CHASS: The Institute for Computing in the Humanities, Arts, and Social Sciences at the University of Illinois. He is also a CCSS Fellow in the Organization Science Program at Vrije University in Amsterdam, Netherlands. His research interests include group and organizational communication, information and communication technologies, collaboration, organizational change and innovation, and theory construction.
作者簡介(中文翻譯)
安德魯·皮爾尼（Andrew Pilny，伊利諾伊大學博士）是肯塔基大學傳播系的助理教授。他的主要研究領域涉及有效組織社會系統和結構的發展。他的研究已應用於非營利組織、社會運動團體、工作團隊和黑暗組織。安迪還專注於社會網絡分析。
馬歇爾·斯科特·普爾（Marshall Scott Poole，威斯康辛大學博士）是伊利諾伊大學的戴維·L·斯旺森傳播教授、國家超級計算應用中心的高級研究科學家，以及人文、藝術和社會科學計算研究所（I-CHASS）的主任。他還是荷蘭阿姆斯特丹自由大學組織科學計畫的CCSS研究員。他的研究興趣包括群體和組織傳播、資訊與通信技術、協作、組織變革與創新，以及理論建構。
