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Author : Xuzhen Zhu
Release : 2023-03-01
Genre : Science
Kind : eBook
Book Rating : 149/5 ( reviews)
Book Synopsis Network mining and propagation dynamics analysis by : Xuzhen Zhu
Download or read book Network mining and propagation dynamics analysis written by Xuzhen Zhu. This book was released on 2023-03-01. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ranran Bian
Release : 2019
Genre : Computer networks
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Heterogeneous Network Mining and Analysis by : Ranran Bian
Download or read book Heterogeneous Network Mining and Analysis written by Ranran Bian. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, large amounts of data are being created daily through ngertips with the emergence of abundant social media. With the exponential growth of the Internet over the past decades, there has been a surge of interest in the capability to extract useful data, trends and structures on these social platforms as they act as a gateway for online commercialization and information propagation. Heterogeneous networks model di erent types of objects and relationships among them. Compared to homogeneous networks, heterogeneous networks can fuse information from multiple data sources and social platforms. Therefore, it is natural to model complex objects and their relationships in big social media data with heterogeneous networks. Despite decades of technique development for various data mining tasks, few of them target heterogeneous networks. Heterogeneity is a key element in contemporary social networks which provides diversi ed perception of networks. Therefore, heterogeneous network analysis has become an important topic in data mining in recent years that has been attracting increasing attention from both industry and academia, as they provide more comprehensive and interesting analysis results than their projected homogeneous networks. Motivated by these considerations, this thesis presents a series of new techniques for knowledge discovery in heterogeneous networks. In particular, the methods proposed in this thesis have been applied to a wide range of applications including community discovery, ranking and information retrieval. For dynamic heterogeneous networks, our research presents a more e ective network embedding technique when compared to the existing state-of-the-art methods. Throughout this thesis, we highlight how our methodologies were able to identify more tightly coupled communities in heterogeneous networks, more accurately rank top performing social actors and having the capability to view heterogeneous networks in a dynamic construct.
Author : C. Lee Giles
Release : 2010-08-10
Genre : Computers
Kind : eBook
Book Rating : 286/5 ( reviews)
Book Synopsis Advances in Social Network Mining and Analysis by : C. Lee Giles
Download or read book Advances in Social Network Mining and Analysis written by C. Lee Giles. This book was released on 2010-08-10. Available in PDF, EPUB and Kindle. Book excerpt: This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.
Author : Jie Tang
Release : 2022-06-01
Genre : Mathematics
Kind : eBook
Book Rating : 621/5 ( reviews)
Book Synopsis Semantic Mining of Social Networks by : Jie Tang
Download or read book Semantic Mining of Social Networks written by Jie Tang. This book was released on 2022-06-01. Available in PDF, EPUB and Kindle. Book excerpt: Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ubiquity of the social Web and the wealth of social data offer us unprecedented opportunities for studying the interaction patterns among users so as to understand the dynamic mechanisms underlying different networks, something that was previously difficult to explore due to the lack of available data. In this book, we present the architecture of the research for social network mining, from a microscopic point of view. We focus on investigating several key issues in social networks. Specifically, we begin with analytics of social interactions between users. The first kinds of questions we try to answer are: What are the fundamental factors that form the different categories of social ties? How have reciprocal relationships been developed from parasocial relationships? How do connected users further form groups? Another theme addressed in this book is the study of social influence. Social influence occurs when one's opinions, emotions, or behaviors are affected by others, intentionally or unintentionally. Considerable research has been conducted to verify the existence of social influence in various networks. However, few literature studies address how to quantify the strength of influence between users from different aspects. In Chapter 4 and in [138], we have studied how to model and predict user behaviors. One fundamental problem is distinguishing the effects of different social factors such as social influence, homophily, and individual's characteristics. We introduce a probabilistic model to address this problem. Finally, we use an academic social network, ArnetMiner, as an example to demonstrate how we apply the introduced technologies for mining real social networks. In this system, we try to mine knowledge from both the informative (publication) network and the social (collaboration) network, and to understand the interaction mechanisms between the two networks. The system has been in operation since 2006 and has already attracted millions of users from more than 220 countries/regions.
Author : Rokia Missaoui
Release : 2017-04-29
Genre : Computers
Kind : eBook
Book Rating : 203/5 ( reviews)
Book Synopsis Trends in Social Network Analysis by : Rokia Missaoui
Download or read book Trends in Social Network Analysis written by Rokia Missaoui. This book was released on 2017-04-29. Available in PDF, EPUB and Kindle. Book excerpt: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.
