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Analysis and Modeling of Complex Data in Behavioral and Social Sciences / / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Analysis and Modeling of Complex Data in Behavioral and Social Sciences / / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (297 p.)
Disciplina 519.5
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics 
Social sciences
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
Methodology of the Social Sciences
Statistics for Social Sciences, Humanities, Law
ISBN 3-319-06692-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Time-frequency Filtering for Seismic Waves Clustering -- Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement -- Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919) -- Estimating a Rasch Model via Fuzzy Empirical Probability Functions -- Scale Reliability Evaluation for a-priori Clustered Data -- An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project -- A New Index for the Comparison of Different Measurement Scales -- Asymmetries in Organizational Structures -- A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults -- The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank -- The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method -- Dynamic Clustering of Financial Assets -- A Comparison of  metrics for the Assessment of Relational Similarities in Affiliation Networks -- Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models -- Social Networks as Symbolic Data -- Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis -- Fuzzy c-means for Web Mining: The Italian Tourist Forum Case -- On Joint Dimension Reduction and Clustering of Categorical Data -- A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web -- Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case -- The Analysis of Partnership Networks in Social Planning Processes -- Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling -- Statistical Characterization of the Virtual Water Trade Network -- A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks -- The RCI as a Measure of Monotonic Dependence -- A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data -- Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison -- Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory -- Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets -- A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis -- Assessing Cooperation in Open Systems: an Empirical Test in Healthcare.
Record Nr. UNINA-9910299981703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Challenges in Social Network Research [[electronic resource] ] : Methods and Applications / / edited by Giancarlo Ragozini, Maria Prosperina Vitale
Challenges in Social Network Research [[electronic resource] ] : Methods and Applications / / edited by Giancarlo Ragozini, Maria Prosperina Vitale
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 239 p. 76 illus., 33 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Social Networks
Soggetto topico Data mining
Social sciences—Data processing
Social sciences—Computer programs
Artificial intelligence
Database management
Physics
Data Mining and Knowledge Discovery
Computational Social Sciences
Artificial Intelligence
Database Management
Applications of Graph Theory and Complex Networks
ISBN 3-030-31463-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction. - Synchronization costs in dynamics of multilevel networks -- Socio-cultural Cognitive Mapping to Identify Communities and Latent Networks -- Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance -- Association rule and network analysis for exploring comorbidity patterns in health system -- A mixture model approach for clustering bipartite networks -- Big data and Social Network Analysis: foundations, perspectives and applications in Economic History -- Networks and Context: Algorithmic Challenges for Context-Aware Social Network Research -- Unraveling Innovation Networks in Conservation Agriculture using Social Network Analysis -- Mapping the informal organization through the urban activism: the case of self-organized spaces in the city of Naples -- The paths of the Italian young poets. A Social Network Analysis of the contemporary poetic field -- A data-driven method to form a DEA-based network -- Multilayer network analysis of innovation intermediaries' activities -- Inter-Organizational Networks and Third Sector: Emerging Features from two Case-Studies in Southern Italy.
Record Nr. UNISA-996465456503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Challenges in Social Network Research : Methods and Applications / / edited by Giancarlo Ragozini, Maria Prosperina Vitale
Challenges in Social Network Research : Methods and Applications / / edited by Giancarlo Ragozini, Maria Prosperina Vitale
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 239 p. 76 illus., 33 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Social Networks
Soggetto topico Data mining
Social sciences—Data processing
Social sciences—Computer programs
Artificial intelligence
Database management
Physics
Data Mining and Knowledge Discovery
Computational Social Sciences
Artificial Intelligence
Database Management
Applications of Graph Theory and Complex Networks
ISBN 3-030-31463-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction. - Synchronization costs in dynamics of multilevel networks -- Socio-cultural Cognitive Mapping to Identify Communities and Latent Networks -- Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance -- Association rule and network analysis for exploring comorbidity patterns in health system -- A mixture model approach for clustering bipartite networks -- Big data and Social Network Analysis: foundations, perspectives and applications in Economic History -- Networks and Context: Algorithmic Challenges for Context-Aware Social Network Research -- Unraveling Innovation Networks in Conservation Agriculture using Social Network Analysis -- Mapping the informal organization through the urban activism: the case of self-organized spaces in the city of Naples -- The paths of the Italian young poets. A Social Network Analysis of the contemporary poetic field -- A data-driven method to form a DEA-based network -- Multilayer network analysis of innovation intermediaries' activities -- Inter-Organizational Networks and Third Sector: Emerging Features from two Case-Studies in Southern Italy.
Record Nr. UNINA-9910366659903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui