Probabilistic Approaches For Social Media Analysis Data Community And Influence
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Probabilistic Approaches For Social Media Analysis
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Author : Kun Yue
language : en
Publisher:
Release Date : 2020
Probabilistic Approaches For Social Media Analysis written by Kun Yue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Content analysis (Communication) categories.
"This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--
Probabilistic Approaches For Social Media Analysis Data Community And Influence
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Author : Kun Yue
language : en
Publisher: World Scientific
Release Date : 2020-02-24
Probabilistic Approaches For Social Media Analysis Data Community And Influence written by Kun Yue and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Computers categories.
This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle.The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases.
Geography Of Technology Transfer In China A Glocal Network Approach
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Author : Chengliang Liu
language : en
Publisher: World Scientific
Release Date : 2023-12-06
Geography Of Technology Transfer In China A Glocal Network Approach written by Chengliang Liu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with Business & Economics categories.
Technology transfer studies are usually framed through Economics and Management Sciences, but this volume Geography of Technology Transfer in China seeks to reveal the mechanism of technology transfer from the geographical perspective. It not only depicts the spatial evolution laws of glocal technology transfer networks, but also uses regression models to uncover the two-way effects between the networks and innovative capacity. In addition, this book highlights the integration and interaction of networks on both the global and local scales. A theoretical framework on glocal networks of technology transfer is established based on a series of economic geography bases in order to depict the spatial differences and coupling mechanism among multi-scaled networks in China.This book consists of 5 parts and 10 chapters, which illustrate the background, theoretical basis, spatial evolution, dual-way influences, and policy implications of technology transfer in China, presenting a clear structure both theoretically and empirically. The book begins with the 'what', 'why', and 'how' questions behind geographical studies on technology transfer to clarify the purpose of the book and its differentiation from present technology transfer studies. Thereafter, it discusses the 'holy trinity' framework of glocal technology transfer networks consisting of cultural, territorial, and networked subsystems. To this end, the spatial evolution of the technology transfer is highlighted through soical network analysis, which aims at depicting the geographical rules of China's technology transfer networks at global, domestic, and regional scales. Based on these discoveries, the next part of the book further analyzes, through a series of regression models such as ERGM and NBRM, the kinds of determinants which have influenced the network size and how the network has in turn affected local innovation capacity . Lastly, the policy implications connect the findings of empirical studies with the operability of the national innovation system. On the whole, this book extensively covers the theoretical, empirical, and practical applications of the geography of technology transfer in China.
Achieving Greater Educational Impact Through Data Intelligence Practice Challenges And Expectations Of Education
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Author : Bian Wu
language : en
Publisher: World Scientific
Release Date : 2021-11-24
Achieving Greater Educational Impact Through Data Intelligence Practice Challenges And Expectations Of Education written by Bian Wu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Education categories.
What is data intelligence? How can data intelligence influence education system systematically? The paradigm shift of scientific research implies a coming age of data-driven educational research and practice. This book presents research and practice of data intelligence in education from three levels: (i) educational governance, (ii) teaching practice, and (iii) student learning. Each chapter gives an analysis of fundamental knowledge, key themes, the state-of-the-art technologies and education application cases. This interdisciplinary book is essential reading for anyone interested in applying big data technology in education and for different stakeholders including education administrators, teachers, students, and researchers to broaden their minds to wisely use educational data to solve complex problems in the education field.
Design And Development Of A Wiki Based Collaborative Process Writing Pedagogy Putting Technological Pedagogical And Content Knowledge Tpack In Action
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Author : Xuanxi Li
language : en
Publisher: World Scientific
Release Date : 2022-01-05
Design And Development Of A Wiki Based Collaborative Process Writing Pedagogy Putting Technological Pedagogical And Content Knowledge Tpack In Action written by Xuanxi Li and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Education categories.
This book provides an example of the capitalization of computer and wiki technology to support collaborative writing among Mainland Chinese upper primary school students. It presents the results of a study showing the application of the Design-Based Research (DBR) methodology to design a Wiki-based Collaborative Process Writing Pedagogy (WCPWP) to help students with their writing in the Chinese context. The WCPWP is designed and developed based on social constructivist theory and the social view of writing process theory, as well as in consideration of the Technological, Pedagogical, and Content Knowledge (TPACK) framework.Primarily aimed at researchers and practitioners in the fields of collaborative learning, TPACK, and Chinese writing, as well as Chinese language educators, this book will also deepen primary educators' understanding of the links among technology, pedagogy and content, and guide educators in the integration of social media, as well as the design of effective matching pedagogic strategies, in their teaching of writing.
Load Balance For Distributed Real Time Computing Systems
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Author : Junhua Fang
language : en
Publisher: World Scientific
Release Date : 2020-05-19
Load Balance For Distributed Real Time Computing Systems written by Junhua Fang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-19 with Computers categories.
This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.
Biological Language Model Theory And Application
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Author : Qiwen Dong
language : en
Publisher: World Scientific
Release Date : 2020-06-05
Biological Language Model Theory And Application written by Qiwen Dong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-05 with Computers categories.
Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers.
Community Detection And Influence Maximization In Online Social Networks
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Author : Kanna Gharib Falahi
language : en
Publisher:
Release Date : 2014
Community Detection And Influence Maximization In Online Social Networks written by Kanna Gharib Falahi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Communities categories.
The detecting and clustering of data and users into communities on the social web are important and complex issues in order to develop smart marketing models in changing and evolving social ecosystems. These marketing models are created by individual decision to purchase a product and are influenced by friends and acquaintances. This leads to novel marketing models, which view users as members of online social network communities, rather than the traditional view of marketing to individuals. This thesis starts by examining models that detect communities in online social networks. Then an enhanced approach to detect community which clusters similar nodes together is suggested. Social relationships play an important role in determining user behavior. For example, a user might purchase a product that his/her friend recently bought. Such a phenomenon is called social influence and is used to study how far the action of one user can affect the behaviors of others. Then an original metric used to compute the influential power of social network users based on logs of common actions in order to infer a probabilistic influence propagation model. Finally, a combined community detection algorithm and suggested influence propagation approach reveals a new influence maximization model by identifying and using the most influential users within their communities. In doing so, we employed a fuzzy logic based technique to determine the key users who drive this influence in their communities and diffuse a certain behavior. This original approach contrasts with previous influence propagation models, which did not use similarity opportunities among members of communities to maximize influence propagation. The performance results show that the model activates a higher number of overall nodes in contemporary social networks, starting from a smaller set of key users, as compared to existing landmark approaches which influence fewer nodes.
Social Network Analysis Community Detection And Evolution
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Author : Rokia Missaoui
language : en
Publisher: Springer
Release Date : 2015-01-13
Social Network Analysis Community Detection And Evolution written by Rokia Missaoui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-13 with Computers categories.
This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.
Learning Influence Probabilities In Social Networks
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Author : Gheorghita Bordianu
language : en
Publisher:
Release Date : 2013
Learning Influence Probabilities In Social Networks written by Gheorghita Bordianu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
"Social network analysis is an important cross-disciplinary area of research, with applications in fields such as biology, epidemiology, marketing and even politics. Influence maximization is the problem of finding the set of seed nodes in an information diffusion process that guarantees maximum spread of influence in a social network, given its structure. Most approaches to this problem make two assumptions. First, the global structure of the network is known. Second, influence probabilities between any two nodes are known beforehand, which is rarely the case in practical settings. In this thesis we propose a different approach to the problem of learning those influence probabilities from past data, using only the local structure of the social network. The method is grounded in unsupervised machine learning techniques and is based on a form of hierarchical clustering, allowing us to distinguish between influential and the influenceable nodes. Finally, we provide empirical results using real data extracted from Facebook." --