Modeling Information Diffusion In Social Networks

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Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Haiyan Wang,Feng Wang,Kuai Xu
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations Book PDF

Author : Haiyan Wang,Feng Wang,Kuai Xu
Publisher : Springer Nature
Page : 153 pages
File Size : 51,8 Mb
Release : 2020-03-16
Category : Mathematics
ISBN : 9783030388522

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Modeling Information Diffusion in Online Social Networks with Partial Differential Equations by Haiyan Wang,Feng Wang,Kuai Xu Pdf

The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.

Diffusion in Social Networks

Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo
Diffusion in Social Networks Book PDF

Author : Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo
Publisher : Springer
Page : 101 pages
File Size : 43,6 Mb
Release : 2015-09-16
Category : Computers
ISBN : 9783319231051

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Diffusion in Social Networks by Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo Pdf

This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.

Python for Graph and Network Analysis

Mohammed Zuhair Al-Taie,Seifedine Kadry
Python for Graph and Network Analysis Book PDF

Author : Mohammed Zuhair Al-Taie,Seifedine Kadry
Publisher : Springer
Page : 203 pages
File Size : 45,5 Mb
Release : 2017-03-20
Category : Computers
ISBN : 9783319530048

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Python for Graph and Network Analysis by Mohammed Zuhair Al-Taie,Seifedine Kadry Pdf

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.

Advances in Information Retrieval

Pavel Serdyukov,Pavel Braslavski,Sergei O. Kuznetsov,Jaap Kamps,Stefan Rüger,Eugene Agichtein,Ilya Segalovich,Emine Yilmaz
Advances in Information Retrieval Book PDF

Author : Pavel Serdyukov,Pavel Braslavski,Sergei O. Kuznetsov,Jaap Kamps,Stefan Rüger,Eugene Agichtein,Ilya Segalovich,Emine Yilmaz
Publisher : Springer
Page : 894 pages
File Size : 46,5 Mb
Release : 2013-03-12
Category : Computers
ISBN : 9783642369735

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Advances in Information Retrieval by Pavel Serdyukov,Pavel Braslavski,Sergei O. Kuznetsov,Jaap Kamps,Stefan Rüger,Eugene Agichtein,Ilya Segalovich,Emine Yilmaz Pdf

This book constitutes the proceedings of the 35th European Conference on IR Research, ECIR 2013, held in Moscow, Russia, in March 2013. The 55 full papers, 38 poster papers and 10 demonstrations presented in this volume were carefully reviewed and selected from 287 submissions. The papers are organized in the following topical sections: user aspects; multimedia and cross-media IR; data mining; IR theory and formal models; IR system architectures; classification; Web; event detection; temporal IR, and microblog search. Also included are 4 tutorial and 2 workshop presentations.

Online Social Networks

Valerio Arnaboldi,Andrea Passarella,Marco Conti,Robin I.M. Dunbar
Online Social Networks Book PDF

Author : Valerio Arnaboldi,Andrea Passarella,Marco Conti,Robin I.M. Dunbar
Publisher : Elsevier
Page : 116 pages
File Size : 45,6 Mb
Release : 2015-09-25
Category : Computers
ISBN : 9780128030424

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Online Social Networks by Valerio Arnaboldi,Andrea Passarella,Marco Conti,Robin I.M. Dunbar Pdf

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Knowledge Discovery in Databases: PKDD 2006

Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Knowledge Discovery in Databases PKDD 2006 Book PDF

Author : Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Publisher : Springer
Page : 660 pages
File Size : 41,5 Mb
Release : 2006-09-21
Category : Computers
ISBN : 9783540460480

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Knowledge Discovery in Databases: PKDD 2006 by Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou Pdf

This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Modeling, Stochastic Control, Optimization, and Applications

George Yin,Qing Zhang
Modeling Stochastic Control Optimization and Applications Book PDF

Author : George Yin,Qing Zhang
Publisher : Springer
Page : 599 pages
File Size : 42,9 Mb
Release : 2019-07-16
Category : Mathematics
ISBN : 9783030254988

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Modeling, Stochastic Control, Optimization, and Applications by George Yin,Qing Zhang Pdf

This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.

Information and Influence Propagation in Social Networks

Wei Chen,Carlos Castillo,Laks V.S. Lakshmanan
Information and Influence Propagation in Social Networks Book PDF

Author : Wei Chen,Carlos Castillo,Laks V.S. Lakshmanan
Publisher : Springer Nature
Page : 161 pages
File Size : 44,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018503

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Information and Influence Propagation in Social Networks by Wei Chen,Carlos Castillo,Laks V.S. Lakshmanan Pdf

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

Liqiang Nie,Xuemeng Song,Tat-Seng Chua
Learning from Multiple Social Networks Book PDF

Author : Liqiang Nie,Xuemeng Song,Tat-Seng Chua
Publisher : Springer Nature
Page : 102 pages
File Size : 40,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031023002

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Learning from Multiple Social Networks by Liqiang Nie,Xuemeng Song,Tat-Seng Chua Pdf

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.

Intelligent Information and Database Systems

Ngoc Thanh Nguyen,Duong Hung Hoang,Tzung-Pei Hong,Hoang Pham,Bogdan Trawiński
Intelligent Information and Database Systems Book PDF

Author : Ngoc Thanh Nguyen,Duong Hung Hoang,Tzung-Pei Hong,Hoang Pham,Bogdan Trawiński
Publisher : Springer
Page : 0 pages
File Size : 53,6 Mb
Release : 2018-02-15
Category : Computers
ISBN : 3319754165

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Intelligent Information and Database Systems by Ngoc Thanh Nguyen,Duong Hung Hoang,Tzung-Pei Hong,Hoang Pham,Bogdan Trawiński Pdf

The two-volume set LNAI 10751 and 10752 constitutes the refereed proceedings of the 10th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2018, held in Dong Hoi City, Vietnam, in March 2018. The total of 133 full papers accepted for publication in these proceedings was carefully reviewed and selected from 423 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Machine Learning and Data Mining; Decision Support and Control Systems; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Multiple Model Approach to Machine Learning; Sensor Networks and Internet of Things; Intelligent Information Systems; Data Structures Modeling for Knowledge Representation; Modeling, Storing, and Querying of Graph Data; Data Science and Computational Intelligence; Design Thinking Based R&D, Development Technique,and Project Based Learning; Intelligent and Contextual Systems; Intelligent Systems and Algorithms in Information Sciences; Intelligent Applications of Internet of Thing and Data Analysis Technologies; Intelligent Systems and Methods in Biomedicine; Intelligent Biomarkers of Neurodegenerative Processes in Brain; Analysis of Image, Video and Motion Data in Life Sciences; Computational Imaging and Vision; Computer Vision and Robotics; Intelligent Computer Vision Systems and Applications; Intelligent Systems for Optimization of Logistics and Industrial Applications.

Social Networks

Niyati Aggrawal,Adarsh Anand
Social Networks Book PDF

Author : Niyati Aggrawal,Adarsh Anand
Publisher : CRC Press
Page : 220 pages
File Size : 54,6 Mb
Release : 2022-02-18
Category : Technology & Engineering
ISBN : 9781000540000

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Social Networks by Niyati Aggrawal,Adarsh Anand Pdf

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

Advances in Artificial Intelligence, Software and Systems Engineering

Tareq Ahram
Advances in Artificial Intelligence Software and Systems Engineering Book PDF

Author : Tareq Ahram
Publisher : Springer
Page : 669 pages
File Size : 53,9 Mb
Release : 2019-06-10
Category : Technology & Engineering
ISBN : 9783030204549

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Advances in Artificial Intelligence, Software and Systems Engineering by Tareq Ahram Pdf

This book addresses emerging issues resulting from the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, highlighting ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. The book is based on two AHFE 2019 Affiliated Conferences – on Artificial Intelligence and Social Computing, and on Service, Software, and Systems Engineering –, which were jointly held on July 24–28, 2019, in Washington, DC, USA.

Intelligent Data Communication Technologies and Internet of Things

D. Jude Hemanth,Subarna Shakya,Zubair Baig
Intelligent Data Communication Technologies and Internet of Things Book PDF

Author : D. Jude Hemanth,Subarna Shakya,Zubair Baig
Publisher : Springer Nature
Page : 781 pages
File Size : 45,5 Mb
Release : 2019-11-10
Category : Computers
ISBN : 9783030340803

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Intelligent Data Communication Technologies and Internet of Things by D. Jude Hemanth,Subarna Shakya,Zubair Baig Pdf

This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies. In addition, it discusses potential topics like performance analysis, wireless communication networks, data security and privacy, human computer interaction, 5G Networks, and smart automated systems, which will provide insights for the evolving data communication technologies. In a nutshell, this proceedings book compiles novel and high-quality research that offers innovative solutions for communications in IoT networks.

Models and Methods in Social Network Analysis

Peter J. Carrington,John Scott,Stanley Wasserman
Models and Methods in Social Network Analysis Book PDF

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Unknown
Page : 328 pages
File Size : 43,7 Mb
Release : 2005-02-07
Category : Psychology
ISBN : 0521809592

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Understanding Social Networks

Charles Kadushin
Understanding Social Networks Book PDF

Author : Charles Kadushin
Publisher : Oxford University Press
Page : 265 pages
File Size : 52,7 Mb
Release : 2012-01-19
Category : Business & Economics
ISBN : 9780195379464

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Understanding Social Networks by Charles Kadushin Pdf

Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.