| Description |
1 online resource (501 pages) |
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text file |
| Contents |
Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I: SOCIAL NETWORKS; Chapter 1 Using Social Network Analysis of Human Aspects For Online Social Network Software: A Design Methodology; Abstract; Introduction; Failure and Timeline of Online Social Network Sites; Proposed Design Methodology; Results and Discussion; Conclusion; References; Chapter 2 A Social Network Analysis on Clinical Education of Diabetic Foot; Abstract; Introduction; Methods; Results; Discussion; Acknowledgement |
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Authors' ContributionsReferences; Chapter 3 Rational Erdös Number And Maximum Flow as Measurement Models For Scientific Social Network Analysis; Abstract; Introduction; Scientific Social Networks and Information Diffusion; Measurement Models To Define Tie Weight; Case Study; Final Remarks; Authors' Contributions; References; Chapter 4 Identifying Network Public Opinion Leaders Based on Markov Logic Networks; Abstract; Introduction; Markov Logic Networks; System Framework; Experimental Verification; Conclusions; Acknowledgments; References |
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Chapter 5 Constructing, Conducting and Interpreting Animal Social Network AnalysisSummary; Introduction; Overview Of Network Analysis; Defining Network Edges; Data Collection Methods; Inferring Associations From Data; Displaying Social Structures; Interpreting Network Metrics; Constructing Null Models; Hypothesis Testing In Animal Social Networks; Estimating Power and Precision; Remaining Challenges and Future Directions; Conclusion; Acknowledgements; References; SECTION II NEURAL NETWORKS |
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Chapter 6 Connectivity Inference From Neural Recording Data: Challenges, Mathematical Bases And Research DirectionsAbstract; Introduction; Data Processing Pipeline; Challenges; Model-Free Methods; Model-Based Methods; Case Study; Discussion; Conclusion; Acknowledgments; References; Chapter 7 Generative Models For Network Neuroscience: Prospects and Promise; Abstract; Introduction; Generative Models: A Primer; Generative Models of Biological Neural Networks; A Few Relevant Distinctions; Future Directions; Conclusion; Acknowledgements; References |
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SECTION III GENE REGULATORY NETWORKS AND BIOLOGICAL SYSTEMSChapter 8 Inferring Regulatory Networks From Expression Data Using Tree-Based Methods; Abstract; Introduction; Methods; Results; Discussion; Author Contributions; References; Chapter 9 Hybrid-Controlled Neurofuzzy Networks Analysis Resulting In Genetic Regulatory Networks Reconstruction; Abstract; Introduction; Algorithm; Results; Discussion; Conclusions; References; SECTION IV BAYESIAN NETWORKS; Chapter 10 Bayesian Networks Analysis of Malocclusion Data; Abstract; Introduction; Methods; Results; Adjusted Data; Discussion |
| Note |
Acknowledgements |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
System analysis -- Statistical methods.
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System analysis -- Statistical methods. |
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System analysis. |
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Social sciences -- Network analysis.
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Social sciences -- Network analysis. |
| Genre/Form |
Electronic books.
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| Added Author |
Moreira, Olga.
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| Other Form: |
Print version: Moreira, Olga. Probabilistic Inference and Statistical Methods in Network Analysis. Ashland : Arcler Press, ©2019 |
| ISBN |
1773616536 |
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9781773616537 (electronic book) |
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