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Titlebook: Challenges in Social Network Research; Methods and Applicat Giancarlo Ragozini,Maria Prosperina Vitale Book 2020 Springer Nature Switzerlan

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書(shū)目名稱(chēng)Challenges in Social Network Research
副標(biāo)題Methods and Applicat
編輯Giancarlo Ragozini,Maria Prosperina Vitale
視頻videohttp://file.papertrans.cn/224/223491/223491.mp4
概述Includes statistical methods for data mining and social network analysis.Contains methods on network measures, multilevel networks and clustering on networks.Offers interesting applications to a wide
叢書(shū)名稱(chēng)Lecture Notes in Social Networks
圖書(shū)封面Titlebook: Challenges in Social Network Research; Methods and Applicat Giancarlo Ragozini,Maria Prosperina Vitale Book 2020 Springer Nature Switzerlan
描述.The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals..
出版日期Book 2020
關(guān)鍵詞Social Network Analysis; Statistical Methods; Multilevel Networks; multilevel network analysis; informat
版次1
doihttps://doi.org/10.1007/978-3-030-31463-7
isbn_softcover978-3-030-31465-1
isbn_ebook978-3-030-31463-7Series ISSN 2190-5428 Series E-ISSN 2190-5436
issn_series 2190-5428
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governancey) shock on the structure of a network. The bootstrap test compares two values of the Gini index, and the test is performed on the difference between them. The application is based on the interlocking directorship network. At the director level, Italian corporate governance is characterized by the w
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Association Rules and Network Analysis for Exploring Comorbidity Patterns in Health Systemshenomenon is known as comorbidity, and it can be studied from the administrative databases of general practitioners’ prescriptions based on diagnoses. In this contribution, we propose a two-step strategy for analyzing comorbidity patterns. In the first step, we investigate the prescription data with
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A DEA-Based Network Formation Model. Micro and Macro Analysis the network as a date and then studies its phenomena, while the second deals with how and why networks are formed. The current study falls into this second vein and proposes a network formation model based on DEA. This work exploits the DEA methodology as a process generating relational data. In ot
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