LEADER 04934nam 22007935 450 001 9910999790103321 005 20260128105543.0 010 $a3-031-84712-1 024 7 $a10.1007/978-3-031-84712-7 035 $a(CKB)38641682900041 035 $a(DE-He213)978-3-031-84712-7 035 $a(MiAaPQ)EBC32062817 035 $a(Au-PeEL)EBL32062817 035 $a(EXLCZ)9938641682900041 100 $a20250429d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aElements of Network Science $eTheory, Methods and Applications in Stata, R and Python /$fby Antonio Zinilli 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XVI, 242 p. 89 illus., 77 illus. in color.) 225 1 $aStatistics and Computing,$x2197-1706 311 08$a3-031-84711-3 327 $a- 1. Introduction -- 2. Network Science: concepts and definitions -- 3. Network Metrics -- 4. Theoretical models of networks -- 5.Statistical social network models. 330 $aThis book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python. Network science offers a means to understand and analyze complex systems that involve various types of relationships. This text bridges the gap between theoretical understanding and practical application, making network science more accessible to a wide range of users. It presents the statistical models pertaining to individual network techniques, followed by empirical applications that use both built-in and user-written packages, and reveals the mathematical and statistical foundations of each model, along with demonstrations involving calculations and step-by-step code implementation. In addition, each chapter is complemented by a case study that illustrates one of the several techniques discussed. The introductory chapter serves as a roadmap for readers, providing an initial understanding of network science and guidance on the required packages, the second chapter focuses on the main concepts related to network properties. The next two chapters present the primary definitions and concepts in network science and various classes of graphs observed in real contexts. The final chapter explores the main social network models, including the family of exponential random graph models. Each chapter includes real-world data applications from the social sciences, using at least one of the platforms Stata, R, and Python, providing a more comprehensive understanding of the availability of network science methods across different software platforms. The underlying computer code and data sets are available online. The book will appeal to graduate students, researchers and data scientists, mainly from the social sciences, who seek theoretical and applied tools to implement network science techniques in their work. 410 0$aStatistics and Computing,$x2197-1706 606 $aSocial sciences$xStatistical methods 606 $aMathematical statistics$xData processing 606 $aSocial sciences$xNetwork analysis 606 $aStatistics$xComputer programs 606 $aStatistics 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistics and Computing 606 $aNetwork Research 606 $aStatistical Software 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistical Theory and Methods 606 $aPython (Llenguatge de programació)$2thub 606 $aAnàlisi de sistemes$2thub 606 $aEstadística$2thub 608 $aLlibres electrònics$2thub 615 0$aSocial sciences$xStatistical methods. 615 0$aMathematical statistics$xData processing. 615 0$aSocial sciences$xNetwork analysis. 615 0$aStatistics$xComputer programs. 615 0$aStatistics. 615 0$aStatistics. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistics and Computing. 615 24$aNetwork Research. 615 24$aStatistical Software. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistical Theory and Methods. 615 7$aPython (Llenguatge de programació) 615 7$aAnàlisi de sistemes 615 7$aEstadística 676 $a300.727 700 $aZinilli$b Antonio$4aut$4http://id.loc.gov/vocabulary/relators/aut$01817605 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999790103321 996 $aElements of Network Science$94375525 997 $aUNINA