Several Practical Models And Their Approximate Solutions In Social Networks

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Several Practical Models and Their Approximate Solutions in Social Networks

Author : Jianxiong Guo
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis Several Practical Models and Their Approximate Solutions in Social Networks by : Jianxiong Guo

Download or read book Several Practical Models and Their Approximate Solutions in Social Networks written by Jianxiong Guo and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The online social platforms developed due to the popularity of the Internet and have become the mainstream way for daily communication as well as information spreading. The users and relationships between users in these social platforms can be abstracted by a social graph (social network). The most typical application in social networks is viral marketing, which takes the advantage of online advertisements to make information spread to more audiences in a short time. At the same time, we have to constrain the negative impact of misinformation spread. They can be formulated as combinatorial optimization problems in the directed graph, such as influence maximization, profit maximization, and rumor blocking. Influence spread can be characterized by different diffusion models. However, the existing models cannot portray the colorful real world. In this dissertation, we propose a series of new diffusion models, including a complementary products model, a multi-feature diffusion model, a k-hop collaborate game model, and an influence balancing model to adapt to some realistic applications in social networks, also study their related algorithmic problems. Because of their NP-hardness, we focus on designing efficient approximate algorithms. To overcome the #P-hardness of computing objective functions, we adopt the techniques of reverse influence sampling to improve efficiency without losing the approximation ratio.

Information and Influence Propagation in Social Networks

Author : Wei Chen
Publisher : Springer Nature
ISBN 13 : 3031018508
Total Pages : 161 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Information and Influence Propagation in Social Networks by : Wei Chen

Download or read book Information and Influence Propagation in Social Networks written by Wei Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking, etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization. This book starts with a detailed description of well-established diffusion models, including the independent cascade model and the linear threshold model, that have been successful at explaining propagation phenomena. We describe their properties as well as numerous extensions to them, introducing aspects such as competition, budget, and time-criticality, among many others. We delve deep into the key problem of influence maximization, which selects key individuals to activate in order to influence a large fraction of a network. Influence maximization in classic diffusion models including both the independent cascade and the linear threshold models is computationally intractable, more precisely #P-hard, and we describe several approximation algorithms and scalable heuristics that have been proposed in the literature. Finally, we also deal with key issues that need to be tackled in order to turn this research into practice, such as learning the strength with which individuals in a network influence each other, as well as the practical aspects of this research including the availability of datasets and software tools for facilitating research. We conclude with a discussion of various research problems that remain open, both from a technical perspective and from the viewpoint of transferring the results of research into industry strength applications.

Learning from Multiple Social Networks

Author : Liqiang Nie
Publisher : Springer Nature
ISBN 13 : 3031023005
Total Pages : 102 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Learning from Multiple Social Networks by : Liqiang Nie

Download or read book Learning from Multiple Social Networks written by Liqiang Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and their contexts are usually consistent or complementary rather than independent. Hence, as compared to using information from a single social network, appropriate aggregation of multiple social networks offers us a better way to comprehensively understand the given social users. Learning across multiple social networks brings opportunities to new services and applications as well as new insights on user online behaviors, yet it raises tough challenges: (1) How can we map different social network accounts to the same social users? (2) How can we complete the item-wise and block-wise missing data? (3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplored to date. We noticed this timely opportunity, and in this book we present some state-of-the-art theories and novel practical applications on aggregation of multiple social networks. In particular, we first introduce multi-source dataset construction. We then introduce how to effectively and efficiently complete the item-wise and block-wise missing data, which are caused by the inactive social users in some social networks. We next detail the proposed multi-source mono-task learning model and its application in volunteerism tendency prediction. As a counterpart, we also present a mono-source multi-task learning model and apply it to user interest inference. We seamlessly unify these models with the so-called multi-source multi-task learning, and demonstrate several application scenarios, such as occupation prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy issues and source complementarity modeling. This is preliminary research on learning from multiple social networks, and we hope it can inspire more active researchers to work on this exciting area. If we have seen further it is by standing on the shoulders of giants.

Computational Social Networks

Author : My T. Thai
Publisher : Springer
ISBN 13 : 3319217860
Total Pages : 320 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computational Social Networks by : My T. Thai

Download or read book Computational Social Networks written by My T. Thai and published by Springer. This book was released on 2015-07-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Computational Social Networks, CSoNet 2015, held in Beijing, China, in August 2015. The 23 revised full papers and 3 short papers presented together with 2 extended abstracts were carefully reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social link prediction and recommendation; and social network structure analysis.

Social Networks: Models of Information Influence, Control and Confrontation

Author : Alexander G. Chkhartishvili
Publisher : Springer
ISBN 13 : 3030054292
Total Pages : 158 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Social Networks: Models of Information Influence, Control and Confrontation by : Alexander G. Chkhartishvili

Download or read book Social Networks: Models of Information Influence, Control and Confrontation written by Alexander G. Chkhartishvili and published by Springer. This book was released on 2018-12-30 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.

Exploratory Analysis in Dynamic Social Networks

Author : Carlos Andre Pinheiro
Publisher : Createspace Independent Pub
ISBN 13 : 9781461098737
Total Pages : 210 pages
Book Rating : 4.0/5 (987 download)

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Book Synopsis Exploratory Analysis in Dynamic Social Networks by : Carlos Andre Pinheiro

Download or read book Exploratory Analysis in Dynamic Social Networks written by Carlos Andre Pinheiro and published by Createspace Independent Pub. This book was released on 2012-12-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social interactions within networks comprise an increasing event nowadays. Different aspects of societies and competitive markets, such as Social Medias through the Internet and Telecommunications environments hold a high correlation with the social network analysis methodology. By understanding these social structures and its interactions might be possible to realize how individuals and consumers relate each other and hence predict further social structures in the future. However, most of the current social network analysis projects are in relation to static structures, not considering how the social network evolves over the time. The dynamic approach can points out new perspectives in terms of social network analysis, including prediction and simulations scenarios. In order to perceive the social network relations over the time is crucial to collect the distinct snapshots of the social structure, understanding not just how the social members relate each other but in addition to that how this relationships evolves over the time. Measures in relation to social network describe nodes and links by static metrics, depicting its strength, its overall distances to the other related nodes, and its amounts of connections, among others. This dynamic approach makes possible to create a historical data, quite usual for predictive modeling. As such, new social network measures and algorithms should be created in order to describe dynamic features assigned to social structures over the time. Chapter 1 gives a brief overview of social network, such as its characteristics and how to visualize it. Chapter 2 discusses the general practice of building pervasive online social networks using real-world services and presents various projects that focus on the online social networking of the physical world. Chapter 3 presents a semantic model, non probabilistic and predictive, for the decisional analysis of professional and institutional social networks. Chapter 4 describes a novel approach towards the visualization and analysis of network dynamics. The goal is to handle network data and visualization in ways that explicitly deal with its time-based nature while simultaneously assessing nodal- and macro- network dynamics. Chapter 5 shows how the network topology affects epidemic diffusion and cascade dynamics. It also clarifies the largest maximum eigenvalue of the adjacency matrix of the network is the key index to estimate the properties of networks. Chapter 6, discusses the behaviors of malware propagation in online social networks using analytical models and conducts some simulations. Chapter 7 analyzes the Google Analytics data from multiple web companies. These web services all positioned themselves as social network sites within a relatively short time from their establishment. Several important measures available on Google Analytics were discussed with experienced practitioners to be identified for data collection. Chapter 8 explores the effects of spatiality and the direction of information transmission over cooperation dynamics. The model is based on the well-known "selfish herd" concept, and assumes that cultural and biological dynamics are driven by natural selection of the phenotypes. This model allows us to study the differences between the dynamics of cooperative, group-forming individuals subject to a selective pressure (predation). Chapter 9 does the survey about the types of private information and privacy threats on social network graphs, and then introduce the methods to protect the private information. Chapter 10 reviews the e-Government development processes in Canada, Malaysia, Australia, Singapore and Korea in order to identify the factors that contribute to the successful development of e-Government therein.

Social Computing, Behavioral-Cultural Modeling and Prediction

Author : William G. Kennedy
Publisher : Springer
ISBN 13 : 3319055798
Total Pages : 435 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Social Computing, Behavioral-Cultural Modeling and Prediction by : William G. Kennedy

Download or read book Social Computing, Behavioral-Cultural Modeling and Prediction written by William G. Kennedy and published by Springer. This book was released on 2014-03-14 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014, held in Washington, DC, USA, in April 2014. The 51 full papers presented were carefully reviewed and selected from 101 submissions. The SBP conference provides a forum for researchers and practitioners from academia, industry, and government agencies to exchange ideas on current challenges in social computing, behavioral-cultural modeling and prediction, and on state-of-the-art methods and best practices being adopted to tackle these challenges. The topical areas addressed by the papers are social and behavioral sciences, health sciences, military science, and information science.

Computational Data and Social Networks

Author : Sriram Chellappan
Publisher : Springer Nature
ISBN 13 : 303066046X
Total Pages : 551 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Data and Social Networks by : Sriram Chellappan

Download or read book Computational Data and Social Networks written by Sriram Chellappan and published by Springer Nature. This book was released on 2021-01-03 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.

Complex Networks & Their Applications XII

Author : Hocine Cherifi
Publisher : Springer Nature
ISBN 13 : 3031534727
Total Pages : 501 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Complex Networks & Their Applications XII by : Hocine Cherifi

Download or read book Complex Networks & Their Applications XII written by Hocine Cherifi and published by Springer Nature. This book was released on 2024 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.

Computational Data and Social Networks

Author : David Mohaisen
Publisher : Springer Nature
ISBN 13 : 3030914348
Total Pages : 392 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Computational Data and Social Networks by : David Mohaisen

Download or read book Computational Data and Social Networks written by David Mohaisen and published by Springer Nature. This book was released on 2021-12-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.

Algorithmic Aspects in Information and Management

Author : Shaojie Tang
Publisher : Springer
ISBN 13 : 3030046184
Total Pages : 329 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Algorithmic Aspects in Information and Management by : Shaojie Tang

Download or read book Algorithmic Aspects in Information and Management written by Shaojie Tang and published by Springer. This book was released on 2018-11-26 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 12th International Conference on Algorithmic Aspects in Information and Management, AAIM 2018, held in Dallas, Texas, USA, in December 2018. The 25 full papers presented were carefully reviewed and selected. The papers deal with current trends of research on algorithms, data structures, operation research, combinatorial optimization and their applications.

Nonlinear Combinatorial Optimization

Author : Ding-Zhu Du
Publisher : Springer
ISBN 13 : 3030161943
Total Pages : 315 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Nonlinear Combinatorial Optimization by : Ding-Zhu Du

Download or read book Nonlinear Combinatorial Optimization written by Ding-Zhu Du and published by Springer. This book was released on 2019-05-31 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Nonlinear combinatorial optimization is a new research area within combinatorial optimization and includes numerous applications to technological developments, such as wireless communication, cloud computing, data science, and social networks. Theoretical developments including discrete Newton methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed and explored in this book through articles by leading experts.

Media Controversy: Breakthroughs in Research and Practice

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522598707
Total Pages : 814 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Media Controversy: Breakthroughs in Research and Practice by : Management Association, Information Resources

Download or read book Media Controversy: Breakthroughs in Research and Practice written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-09-06 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media is rapidly evolving. From social media to news channels, individuals are being bombarded with headlines, new technologies, and varying opinions. Consequently, it has become pivotal to develop new approaches for information processing, understanding, and redistributing. Media Controversy: Breakthroughs in Research and Practice examines the effect of conflicting opinions and views of news outlets and other mass media outlets on cultures, individuals, and groups. It also examines the role of the internet, mobile phones, and other digital platforms in creating an environment for discussing and sharing the latest controversial news. Highlighting a range of topics such as censorship, media ethics, and media transparency, this publication is an ideal reference source for government officials, leaders, activists, professionals, policymakers, media specialists, academicians, and researchers interested in the various facets of media controversy.

Theory and Applications of Models of Computation

Author : T V Gopal
Publisher : Springer
ISBN 13 : 3319060899
Total Pages : 434 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Theory and Applications of Models of Computation by : T V Gopal

Download or read book Theory and Applications of Models of Computation written by T V Gopal and published by Springer. This book was released on 2014-04-01 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th Annual Conference on Theory and Applications of Models of Computation, TAMC 2014, held in Chennai, India, in April 2014. The 27 revised full papers presented were carefully reviewed and selected from 112 submissions. The papers explore the algorithmic foundations, computational methods and computing devices to meet today's and tomorrow's challenges of complexity, scalability and sustainability, with wide-ranging impacts on everything from the design of biological systems to the understanding of economic markets and social networks.

Opportunistic Mobile Social Networks

Author : Jie Wu
Publisher : CRC Press
ISBN 13 : 1466594942
Total Pages : 546 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Opportunistic Mobile Social Networks by : Jie Wu

Download or read book Opportunistic Mobile Social Networks written by Jie Wu and published by CRC Press. This book was released on 2014-08-05 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread availability of mobile devices along with recent advancements in networking capabilities make opportunistic mobile social networks (MSNs) one of the most promising technologies for next-generation mobile applications. Opportunistic Mobile Social Networks supplies a new perspective of these networks that can help you enhance spontaneous interaction and communication among users that opportunistically encounter each other, without additional infrastructure support. The book explores recent developments in the theoretical, algorithmic, and application-based aspects of opportunistic MSNs. It presents the motivation behind opportunistic MSNs, describes their underpinning and key concepts, and also explores ongoing research. Supplies a systematic study of the constrained information flow problem Reviews the recent literature on social influence in complex social networks Presents a complete overview of the fundamental characteristics of link-level connectivity in opportunistic networks Explains how mobility and dynamic network structure impact the processing capacity of opportunistic MSNs for cloud applications Provides a comprehensive overview of the routing schemes proposed in opportunistic MSNs Taking an in-depth look at multicast protocols, the book explains how to provide pervasive data access to mobile users without the support of cellular or Internet infrastructures. Considering privacy and security issues, it surveys a collection of cutting-edge approaches for minimizing privacy leakage during opportunistic user profile exchange. The book concludes by introducing a framework for mobile peer rating using a multi-dimensional metric scheme based on encounter and location testing. It also explains how to develop a network emulation test bed for validating the efficient operation of opportunistic network applications and protocols in scenarios that involve both node mobility and wireless communication.

Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation

Author : Mehmet Kaya
Publisher : Springer Nature
ISBN 13 : 3030336980
Total Pages : 245 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation by : Mehmet Kaya

Download or read book Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation written by Mehmet Kaya and published by Springer Nature. This book was released on 2019-12-27 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Method and Morals in Constitutional Economics

Author : Geoffrey Brennan
Publisher : Springer Science & Business Media
ISBN 13 : 3662048108
Total Pages : 576 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Method and Morals in Constitutional Economics by : Geoffrey Brennan

Download or read book Method and Morals in Constitutional Economics written by Geoffrey Brennan and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift was "presented" in electronic form to Buchanan on the occasion of his eightieth birthday on October 3, 1999, after dinner in Fairfax, Virginia. As one might have expected, the response to our call for papers was vo luminous. In looking over the many contributions, we felt that a "published" Festschrift was also possible and fitting for the eightieth birthday of so prodi gious and influential a scholar as Professor Buchanan. To that end we have assembled the following volume. In selecting the papers to be included here we have basically tried to choose those papers which in some way bear on Buchanan's contributions. Perfectly good papers about issues not related to Buchanan's research agenda or not referring directly to Buchanan's work were not included. Space constraints did not allow universal coverage, so choices had to be made. It should be stated clearly that these were our choices based on the criterion that the contribution be relevant to Buchanan's work. Buchanan had nothing whatsoever to do with the selection of papers for this volume. Once choices had been made, we arranged the papers by subject matter ranging from various aspects of Buchanan's work in economics, political science, philosophy, and related areas, to some more personal recollections of Jim as a professor, friend, and colleague. Including the latter material was also our decision, and this probably represents a choice with which Jim would not have agreed. We think, however, that the reader will find these pieces interesting and informative.