Assessing Network Structure With Practical Sampling Methods


Assessing Network Structure With Practical Sampling Methods
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Assessing Network Structure With Practical Sampling Methods


Assessing Network Structure With Practical Sampling Methods
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Author : Georgiy Bobashev
language : en
Publisher: RTI Press
Release Date : 2018-05-10

Assessing Network Structure With Practical Sampling Methods written by Georgiy Bobashev and has been published by RTI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-10 with Technology & Engineering categories.


Using data from an enumerated network of worldwide flight connections between airports, we examine how sampling designs and sample size influence network metrics. Specifically, we apply three types of sampling designs: simple random sampling, nonrandom strategic sampling (i.e., selection of the largest airports), and a variation of snowball sampling. For the latter sampling method, we design what we refer to as a controlled snowball sampling design, which selects nodes in a manner analogous to a respondent-driven sampling design. For each design, we evaluate five commonly used measures of network structure and examine the percentage of total air traffic accounted for by each design. The empirical application shows that (1) the random and controlled snowball sampling designs give rise to more efficient estimates of the true underlying structure, and (2) the strategic sampling method can account for a greater proportion of the total number of passenger movements occurring in the network.



Assessing Network Structure With Practical Sampling Methods


Assessing Network Structure With Practical Sampling Methods
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Author : Georgiy Bobashev
language : en
Publisher:
Release Date : 2018

Assessing Network Structure With Practical Sampling Methods written by Georgiy Bobashev and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


Using data from an enumerated network of worldwide flight connections between airports, we examine how sampling designs and sample size influence network metrics. Specifically, we apply three types of sampling designs: simple random sampling, nonrandom strategic sampling (i.e., selection of the largest airports), and a variation of snowball sampling. For the latter sampling method, we design what we refer to as a controlled snowball sampling design, which selects nodes in a manner analogous to a respondent-driven sampling design. For each design, we evaluate five commonly used measures of network structure and examine the percentage of total air traffic accounted for by each design. The empirical application shows that (1) the random and controlled snowball sampling designs give rise to more efficient estimates of the true underlying structure, and (2) the strategic sampling method can account for a greater proportion of the total number of passenger movements occurring in the network.



Quantitative Assessment And Validation Of Network Inference Methods In Bioinformatics


Quantitative Assessment And Validation Of Network Inference Methods In Bioinformatics
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Author : Benjamin Haibe-Kains
language : en
Publisher: Frontiers Media SA
Release Date : 2015-04-14

Quantitative Assessment And Validation Of Network Inference Methods In Bioinformatics written by Benjamin Haibe-Kains and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-14 with Bioengineering categories.


Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thoroughly characterize biological systems of interest. High-throughput “omics” technologies enable to generate enormous quantities of data at the DNA, RNA, epigenetic and proteomic levels. One of the major challenges of the post-genomic era is to extract functional information by integrating such heterogeneous high-throughput genomic data. This is not a trivial task as we are increasingly coming to understand that it is not individual genes, but rather biological pathways and networks that drive an organism’s response to environmental factors and the development of its particular phenotype. In order to fully understand the way in which these networks interact (or fail to do so) in specific states (disease for instance), we must learn both, the structure of the underlying networks and the rules that govern their behavior. In recent years there has been an increasing interest in methods that aim to infer biological networks. These methods enable the opportunity for better understanding the interactions between genomic features and the overall structure and behavior of the underlying networks. So far, such network models have been mainly used to identify and validate new interactions between genes of interest. But ultimately, one could use these networks to predict large-scale effects of perturbations, such as treatment by multiple targeted drugs. However, currently, we are still at an early stage of comprehending methods and approaches providing a robust statistical framework to quantitatively assess the quality of network inference and its predictive potential. The scope of this Research Topic in Bioinformatics and Computational Biology aims at addressing these issues by investigating the various, complementary approaches to quantify the quality of network models. These “validation” techniques could focus on assessing quality of specific interactions, global and local structures, and predictive ability of network models. These methods could rely exclusively on in silico evaluation procedures or they could be coupled with novel experimental designs to generate the biological data necessary to properly validate inferred networks.



Verification And Evaluation Of Computer And Communication Systems


Verification And Evaluation Of Computer And Communication Systems
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Author : Belgacem Ben Hedia
language : en
Publisher: Springer Nature
Release Date : 2020-12-19

Verification And Evaluation Of Computer And Communication Systems written by Belgacem Ben Hedia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-19 with Computers categories.


This book constitutes the proceedings of the 14th International Conference on Verification and Evaluation of Computer and Communication Systems, VECoS 2020, which was supposed to be held in Xi’an, China, in October 2020, but was held virtually instead. The 19 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 60 submissions. The aim of the VECoS conference is to bring together researchers and practitioners in the areas of verification, control, performance, and dependability evaluation in order to discuss state of the art and challenges in modern computer and communication systems in which functional and extra-functional properties are strongly interrelated. Thus, the main motivation for VECoS is to encourage the cross-fertilization between various formal verification and evaluation approaches, methods and techniques, and especially those developed for concurrent and distributed hardware/software systems. The papers are organized in the following topical sections: petri-net, simulation, and scheduling; formal modeling and verification, testing; and artificial intelligence and machine learning.



Language Variation And Change In Social Networks


Language Variation And Change In Social Networks
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Author : Robin Dodsworth
language : en
Publisher: Routledge
Release Date : 2019-08-21

Language Variation And Change In Social Networks written by Robin Dodsworth and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-21 with Language Arts & Disciplines categories.


This monograph takes up recent advances in social network methods in sociology, together with data on economic segregation, in order to build a quantitative analysis of the class and network effects implicated in vowel change in a Southern American city. Studies of sociolinguistic variation in urban spaces have uncovered durable patterns of linguistic difference, such as the maintenance of blue collar/white collar distinctions in the case of stable linguistic variables. But the underlying interactional origins of these patterns, and the interactional reasons for their durability, are not well understood, due in part to the near-absence of large-scale network investigation. This book undertakes a sociolinguistic network analysis of data from the Raleigh corpus, a set of conversational interviews collected form natives of Raleigh, North Carolina, from 2008-2017. Acoustic analysis of the corpus shows the rapid, ongoing retreat from the Southern Vowel Shift and increasing participation in national vowel changes. The social distribution of these trends is explored via standard social factors such as occupation as well as innovative network variables, including a measure of nestedness in the community network. The book aims to pursue new network-based questions about sociolinguistic variation that can be applied to other corpora, making this key reading for students and researchers in sociolinguistics and historical linguistics as well as those interested in further understanding how existing quantitative network methods from sociological research might be applied to sociolinguistic data.



Data Science And Machine Learning For Non Programmers


Data Science And Machine Learning For Non Programmers
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Author : Dothang Truong
language : en
Publisher: CRC Press
Release Date : 2024-02-23

Data Science And Machine Learning For Non Programmers written by Dothang Truong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Business & Economics categories.


As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.



Practical Deep Learning At Scale With Mlflow


Practical Deep Learning At Scale With Mlflow
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Author : Yong Liu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-07-08

Practical Deep Learning At Scale With Mlflow written by Yong Liu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-08 with Computers categories.


Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflow Key Features • Focus on deep learning models and MLflow to develop practical business AI solutions at scale • Ship deep learning pipelines from experimentation to production with provenance tracking • Learn to train, run, tune and deploy deep learning pipelines with explainability and reproducibility Book Description The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas. From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified framework to track DL data, code and pipelines, models, parameters, and metrics at scale. You'll also tackle running DL pipelines in a distributed execution environment with reproducibility and provenance tracking, and tuning DL models through hyperparameter optimization (HPO) with Ray Tune, Optuna, and HyperBand. As you progress, you'll learn how to build a multi-step DL inference pipeline with preprocessing and postprocessing steps, deploy a DL inference pipeline for production using Ray Serve and AWS SageMaker, and finally create a DL explanation as a service (EaaS) using the popular Shapley Additive Explanations (SHAP) toolbox. By the end of this book, you'll have built the foundation and gained the hands-on experience you need to develop a DL pipeline solution from initial offline experimentation to final deployment and production, all within a reproducible and open source framework. What you will learn • Understand MLOps and deep learning life cycle development • Track deep learning models, code, data, parameters, and metrics • Build, deploy, and run deep learning model pipelines anywhere • Run hyperparameter optimization at scale to tune deep learning models • Build production-grade multi-step deep learning inference pipelines • Implement scalable deep learning explainability as a service • Deploy deep learning batch and streaming inference services • Ship practical NLP solutions from experimentation to production Who this book is for This book is for machine learning practitioners including data scientists, data engineers, ML engineers, and scientists who want to build scalable full life cycle deep learning pipelines with reproducibility and provenance tracking using MLflow. A basic understanding of data science and machine learning is necessary to grasp the concepts presented in this book.



Icpdi 2023


Icpdi 2023
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Author : Md Rabiul Islam
language : en
Publisher: European Alliance for Innovation
Release Date : 2023-11-21

Icpdi 2023 written by Md Rabiul Islam and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.


The 2nd International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2023) was successfully held on 1-3 September 2023 in Chongqing, China. This conference aimed to bring together researchers, scholars, and practitioners from various fields to exchange ideas and discuss advancements in the areas of public management, digital economy, and internet technology. The conference featured a diverse range of research topics, including but not limited to Public Management, Digital Economy and Internet Technology. The conference fostered a rich and stimulating intellectual environment. The program included keynote speeches by renowned experts in the field, parallel sessions for paper presentations, and panel discussions addressing emerging trends and challenges. The conference proceedings showcased a wide array of research papers, providing valuable insights into the latest theoretical and practical developments in the field of public management, digital economy, and internet technology. Participants had the opportunity to engage in constructive discussions, offer feedback, and establish potential collaborations for future research endeavors. We extend our gratitude to all participants, presenters, organizers, and sponsors for their contributions in making this conference a resounding success. We look forward to the 3rd edition of this conference, where we can further explore the dynamic intersections of public management, digital economy, and internet technology.



Seismic Vulnerability Assessment Of Civil Engineering Structures At Multiple Scales


Seismic Vulnerability Assessment Of Civil Engineering Structures At Multiple Scales
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Author : Tiago Miguel Ferreira
language : en
Publisher: Woodhead Publishing
Release Date : 2021-12-02

Seismic Vulnerability Assessment Of Civil Engineering Structures At Multiple Scales written by Tiago Miguel Ferreira and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Technology & Engineering categories.


Seismic Vulnerability Assessment of Civil Engineering Structures at Multiple Scales: From Single Buildings to Large-Scale Assessment provides an integrated, multiscale platform for fundamental and applied studies on the seismic vulnerability assessment of civil engineering structures, including buildings with different materials and building typologies. The book shows how various outputs obtained from different scales and layers of assessment (from building scale to the urban area) can be used to outline and implement effective risk mitigation, response and recovery strategies. In addition, it highlights how significant advances in earthquake engineering research have been achieved with the rise of new technologies and techniques. The wide variety of construction and structural systems associated with the complex behavior of their materials significantly limits the application of current codes and building standards to the existing building stock, hence this book is a welcomed guide on new construction standards and practices. Provides the theoretical backgrounds on the most advanced seismic vulnerability assessment approaches at different scales and for most common building typologies Covers the most common building typologies and the materials they are made from, such as concrete, masonry, steel, timber and raw earth Presents practical guidelines on how the outputs coming from such approaches can be used to outline effective risk mitigation and emergency planning strategies



A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports


A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports
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Author : Sally L. Benjamin
language : en
Publisher: CRC Press
Release Date : 2001-02-21

A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports written by Sally L. Benjamin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Law categories.


A Practical Guide to Understanding, Managing and Reviewing Environmental Risk Assessment Reports provides team leaders and team members with a strategy for developing the elements of risk assessment into a readable and beneficial report. The authors believe that successful management of the risk assessment team is a key factor is quality repor