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Lise Getoor Privacy in Social Networks


This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs.
Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings

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Xiaodong Lin Vehicular Ad Hoc Network Security and Privacy


This book is a complete, single information source of techniques for complex security and privacy issues in vehicular ad hoc networks Take a cooperative approach towards addressing the technology’s challenges of security and privacy issues Explores interdisciplinary methods by combining social science, cryptography, and privacy enhancing technique Richly illustrated with detailed designs and results for all approaches used Introduces standardization and industry activities, and government regulation in secure vehicular networking

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Группа авторов Social Security in Religious Networks

Robert L. Cross The Hidden Power of Social Networks


A powerful, visual framework helps managers discover how employees really communicate and collaborate to get work done – and helps them identify ways they can influence these social networks to improve performance and innovation. In The Hidden Power of Social Networks, Cross and Parker, experts in «social network analysis»—a technique that visually maps relationships between people in large, distributed groups – apply this powerful tool to management for the first time. Based on their in-depth study of sixty informal employee networks in well-known companies around the world, Cross and Parker show managers how to conduct a social network analysis of their organization.

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Daniel Birke Social Networks and their Economics. Influencing Consumer Choice


Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily available. More and more companies such as mobile phone carriers or social networking sites such as Facebook are collecting such data electronically. Daniel Birke illustrates in compelling real-world case studies how companies use social networks for marketing purposes and which statistical analysis and unique datasets can be used. Social Networks and their Economics: Explores network effects and the analysis of social networks, whilst providing an overview of the state-of-the art research. Looks at consumption interdependences between friends and peers: Who is influencing who through which channels and to what degree? Presents statistical methods and research techniques that can be used in the analysis of social networks. Examines SNA and its practical application for marketing purposes. Features a supporting website www.wiley.com/go/social_networks featuring SNA visualizations and business case studies. Aimed at post-graduate students involved in social network analysis, industrial economics, innovation and consumer marketing, this book offers a unique perspective from both an academic and practitioner point of view on how social networks can help understand and influence consumer behaviour. This book will prove to be a useful resource for marketing practitioners from companies where social network data is available and for consulting companies who advise businesses on marketing and social media related issues.

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Carlos José Castillo Information and Influence Propagation in Social Networks

Huan Liu Mining Human Mobility in Location-Based Social Networks

Steven Seidman Contested Knowledge


In the sixth edition of Contested Knowledge, social theorist Steven Seidman presents the latest topics in social theory and addresses the current shift of 'universalist theorists' to networks of clustered debates. Responds to current issues, debates, and new social movements Reviews sociological theory from a contemporary perspective Reveals how the universal theorist and the era of rival schools has been replaced by networks of clustered debates that are relatively 'autonomous' and interdisciplinary Features updates and in-depth discussions of the newest clustered debates in social theory—intimacy, postcolonial nationalism, and the concept of 'the other' Challenges social scientists to renew their commitment to the important moral and political role social knowledge plays in public life

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Ferguson Niall Square and the Tower. Networks, Hierarchies & Struggle for Global Power


Most history is about the people at the top of the towers of power. But what if the real action is in the social networks down below, in the town squares? Niall Ferguson, the international bestselling author of Empire, The Ascent of Money and Civilization, brilliantly recasts past and present as an unending contest between hierarchies and networks.

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Ted G. Lewis, PhD Network Science


A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.

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Privacy in Social Networks: A Survey | SpringerLink

Lise Getoor; Chapter. First Online: 17 March 2011. 41 Citations; 12k Downloads; Abstract . In this chapter, we survey the literature on privacy in social networks. We focus both on online social networks and online affiliation networks. We formally define the possible privacy breaches and describe the privacy attacks that have been studied. We present definitions of privacy in the context of ...

Privacy in Social Networks (English Edition) eBook ...

Privacy in Social Networks (English Edition) eBook: Zheleva, Elena, Terzi, Evimaria, Getoor, Lise: Amazon.de: Kindle-Shop

Privacy in Social Networks Synthesis Lecutres on Data ...

Privacy in Social Networks (Synthesis Lecutres on Data Mining and Knowledge Discovery) | Zheleva, Elena, Terzi, Evimaria, Getoor, Lise | ISBN: 9781608458622 ...

PRIVACY IN SOCIAL NETWORKS: A SURVEY

Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742, USA [email protected] Abstract In this chapter, we survey the literature on privacy in social networks. We focus both on online social networks and online af¿liation networks. We formally de¿ne the possible privacy breaches and describe the privacy attacks that have been studied. We present de¿nitions ...

Graph Identification and Privacy in Social Networks

Speaker: Lise Getoor Lise Getoor is an associate professor in the Computer Science Department at the University of Maryland, College Park. She received her PhD from Stanford University in 2001 ...

Lise Getoor > privacy | PUMA

1 To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles E. Zheleva , und L. Getoor . WWW '09: Proceedings of the 18th International Conference on World Wide Web , Seite 531--540 .

Lise Getoor - Wikipedia

Lise Getoor is a professor in the Computer Science Department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network ...

Series ISSN: 2151-0067 SDSDSD M K YNTHESIS ATA M M K INING ...

Lise Getoor, University of Maryland, College Park This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties.

Lise Getoor, Ph.D. - Home | getoor.soe.ucsc.edu

Lise Getoor, Ph.D. Professor, Computer Science Department Center Director of UC Santa Cruz D3 Data Science Research Center. Main navigation. Home; Bio; Contact; Teaching; LINQS; Publications ; Research Interests. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration ...

Lise Getoor - "Link Mining" - SSW12

Summer Social Webshop 2012 Lise Getoor, University of Maryland In this talk, I will survey link mining methods from the machine learning and data mining communities, focusing on algorithms that ...

Privacy in Social Networks | Synthesis Lectures on Data ...

Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer ...

Lise Getoor – Wikipedia

Seit 2013 ist sie Professorin an der University of California, Santa Cruz (wo sie zuvor Gastprofessor war) und Adjunct Professor an der University of Maryland. Sie befasst sich mit Maschinenlernen (Statistical relational learning, SRL), Schlussfolgerungen unter Unsicherheit, Datenbanken und Künstlicher Intelligenz.

‪Lise Getoor‬ - ‪Google Scholar‬

Lise Getoor. Professor of Computer Science, University of California, Santa Cruz. Verified email at ucsc.edu - Homepage. Machine Learning Reasoning Under Uncertainty Graph & Network Analysis Information Integration Ethics & Responsible Data Scie. Articles Cited by Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Introduction to statistical ...

Privacy In Social Networks Zheleva Elena Terzi Evimaria ...

Everybody knows that reading Privacy In Social Networks Zheleva Elena Terzi Evimaria Getoor Lise is useful, because we can easily get information through the reading ...

Synthesis Lectures on Data Mining and Knowledge Discovery

Lise Getoor, University of California Santa Cruz Wei Wang, University of North Carolina, Chapel Hill Johannes Gehrke, Cornell University Robert Grossman, University of Chicago. Synthesis Lectures on Data Mining and Knowledge Discovery is edited by Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke, and Robert Grossman. The series publishes 50- to 150-page publications on topics pertaining to ...

Privacy in Social Networks: Elena Zheleva, Evimaria Terzi ...

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Lise Getoor - IEEE Xplore Author Details

Lise Getoor received the B.S. degree from UC Santa Barbara, Santa Barbara, CA, USA, the M.S. degree from UC Berkeley,Berkeley, CA, USA and the Ph.D. degree from Stanford University, Stanford, CA, USA. She is a Professor with the Computer Science Department, UC Santa Cruz, Santa Cruz, CA, USA, and the Director of the UC Santa Cruz D3 Data ...

Lise Getoor | UMD Department of Computer Science

Lise Getoor, Michael Hicks and Jonathan Katz Promoted to Full Professor . Lise Getoor Invited Speaker at Conference and Commencement. 2012. Dr. Getoor To Give Lecture. Dr. Getoor Invited Speaker at CMU. 2011. Using Classifier Cascades for Scalable E-Mail Classification. 2010 . Invited Speaker: Lise Getoor. 2008. Best student paper award, 14th ACM SIGKDD. 1; 2; next › last » Browse All News ...

New data science institute includes a focus on ethics and ...

Lise Getoor Abel Rodriguez. UC Santa Cruz will join three other institutions to establish a transdisciplinary research institute bringing together mathematicians, statisticians, and theoretical computer scientists to develop the theoretical foundations of the fast-growing field of data science. Funded by the National Science Foundation (NSF), the Institute for Foundations of Data Science (IFDS ...

Computer scientist Lise Getoor receives research funding ...

Lise Getoor, professor of computer science and engineering at UC Santa Cruz, and her collaborators at UC Santa Barbara and the University of Southern California will receive grants from Google totaling $1 million over three years to support their research on online recommender dialogue systems. Recommender systems are among the most familiar practical applications of artificial intelligence ...

Preserving the Privacy of Sensitive Relationships in Graph ...

Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships from anonymized graph data as link re-identification.We propose five different privacy preservation strategies, which vary in terms of the amount of data removed (and hence their utility) and the amount of privacy ...

Graph Identification and Privacy in Social Networks

Lise Getoor is an associate professor in the Computer Science Department at the University of Maryland, College Park. She received her PhD from Stanford University in 2001. Her current work includes research on link mining, statistical relational learning and representing uncertainty in structured and semi-structured data. She has published numerous articles in machine learning, data mining ...

Entity Resolution: Theory, Practice & Open Challenges

tity management, privacy, query-driven ER, and active learn- ing or crowd-sourcing based methods for ER. 3. BIOGRAPHICAL SKETCHES Lise Getoor is an associate professor in the Computer Science Department at the University of Maryland, College Park. Her main research interests are machine learning and reasoning under uncertainty, particularly in the context of structured and sem-structured data ...

(PDF) Preserving the privacy of sensitive relationships in ...

In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships from anonymized graph data as link re-identification. We propose five different

Lise Getoor Profiles in Santa Cruz CA and University Park MD

Lise Getoor: Filing Date: August 25, 2015: File Number: 201524010204: View People Named Lise Getoor in California: Contact Us About The Company Profile For Enlinq LLC: LISE C. GETOOR (AGENT) ENLINQ LLC: MARYLAND DOMESTIC LLC: WRITE REVIEW : Address: 4205 Underwood Street University Park, MD 20782: Registered Agent: Ms. Lise C. Getoor: Filing Date: March 11, 2011: File Number: W14060339: View ...

Lise Getoor - San Francisco Bay Area | Professional ...

View Lise Getoor’s professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Lise Getoor discover inside connections to recommended job ...

Kollaboration und Privacy in einem gesundheitszentrischen ...

Elena Zheleva und Lise Getoor (2009) To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. Mitgliedschaften. FGIR (GI-Fachgruppe Information Retrieval) Easy Access to Digital Libraries; Kontakt. Universität Duisburg-Essen Campus Duisburg 47048 Duisburg. Mail: m.bick(at)inf.uni-due.de Tel.: +49 (0) 203 / 379 - 1434. Sitemap; Infoline ...

Privacy, accuracy, bias: UC Santa Cruz research tackles ...

In terms of personal privacy, a 2009 paper co-authored by Getoor found sensitive information about social media users who cloak their personal information behind privacy settings can be easily ...

Provenance Data in Social Media - odbms.org

Lise Getoor, University of Maryland, Wei Wang, University of North Carolina, Chapel Hill, ... privacy, and adversarial data mining, visual data mining, visual analytics, and data visualization. Provenance Data in Social Media Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, and Huan Liu 2013 Graph Mining: Laws,Tools, and Case Studies D. Chakrabarti and C. Faloutsos 2012 Mining Heterogeneous ...

Kollaboration und Privacy in einem gesundheitszentrischen ...

Elena Zheleva und Lise Getoor (2009) To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

Lise Getoor. Lise Carol Getoor ist ein US-amerikanischer Inf

ⓘ Lise Getoor. Mathematical Statistics. Er war seit 1959 verheiratet und hatte eine Tochter Lise Getoor die Informatik - Professorin an der University of Maryland ist. Seine; Getoor ist der Nachname von: Lise Getoor US - amerikanische Informatikerin Ronald Getoor 1929 2017 US - amerikanischer Mathematiker

Publications | LINQS

2007 : Preserving the Privacy of Sensitive Relationships in Graph Data: Elena Zheleva, Lise Getoor: First ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD ...

To join or not to join | Proceedings of the 18th ...

E. Zheleva and L. Getoor. Preserving the privacy of sensitive relationships in graph data. PinKDD, 2007. Google Scholar Digital Library; Index Terms. To join or not to join. Information systems . Information systems applications. Data mining. Comments. Login options. Check if you have access through your login credentials or your institution to get full access on this article. Sign in. Full ...

Lise Getoor: free download. Ebooks library. On-line books ...

Lise Getoor: free download. Ebooks library. On-line books store on Z-Library | B–OK. Download books for free. Find books

Entity Resolution for Big Data - GitHub Pages

Lise Getoor University of Maryland, College Park Ashwin Machanavajjhala Duke University Abstract Entity resolution (ER), the problem of extracting, matching and resolving entity mentions in structured and unstructured data, is a long-standing challenge in database management, information retrieval, machine learning, natural language processing and statistics. Accurate and fast entity ...

Preserving the privacy of sensitive relationships in graph ...

We propose five different privacy preservation strategies, which vary in terms of the amount of data removed (and hence their utility) and the amount of privacy preserved. We assume the adversary has an accurate predictive model for links, and we show experimentally the success of different link re-identification strategies under varying structural characteristics of the data. References ...

Publications | LINQS

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Sonstiges

To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. In: WWW '09: Proceedings of the 18th International Conference on World Wide Web, Seiten 531-540. ACM, New York, NY, USA, 2009. Elena Zheleva und Lise Getoor. [Kurzfassung]

Privacy in Social Networks eBook: Zheleva, Elena, Terzi ...

Privacy in Social Networks eBook: Zheleva, Elena, Terzi, Evimaria, Getoor, Lise: Amazon.in: Kindle Store

Responsible data science - Inqury @ UC Santa Cruz

Credit: SlideRabbit LLC, courtesy of Lise Getoor. The accelerating use of digital technology over the last decade has raised thorny questions about ownership, privacy, accuracy, and bias. To address these issues, some concerned scientists have begun to call for “responsible data science”—a new approach that requires thinking critically about the increasing interactions between people and ...

Privacy in Social Networks : Elena Zheleva : 9781608458622

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and ...

Privacy in social networks | Elena Zheleva, Evimaria Terzi ...

Elena Zheleva, Evimaria Terzi, Lise Getoor. This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to ...

Privacy in Social Networks / Edition 1 by Elena Zheleva ...

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on...

dblp: Dhanya Sridhar

Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor: Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. CoRR abs/1607.00474 (2016) 2015 [c1] view. electronic edition via DOI (open access) electronic edition @ aclweb.org (open access) references & citations . export record. BibTeX; RIS; RDF N-Triples; RDF/XML; XML; dblp key: conf/acl/SridharFHGW15; ask ...

CiteSeerX — To join or not to join: the illusion of ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users.

Simon Haykin Handbook on Array Processing and Sensor Networks


A handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks. Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.

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Stefan Bornholdt Handbook of Graphs and Networks


Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science. For example, economic or social interactions often organize themselves in complex network structures. Similar phenomena are observed in traffic flow and in communication networks as the internet. In current problems of the Biosciences, prominent examples are protein networks in the living cell, as well as molecular networks in the genome. On larger scales one finds networks of cells as in neural networks, up to the scale of organisms in ecological food webs. This book defines the field of complex interacting networks in its infancy and presents the dynamics of networks and their structure as a key concept across disciplines. The contributions present common underlying principles of network dynamics and their theoretical description and are of interest to specialists as well as to the non-specialized reader looking for an introduction to this new exciting field. Theoretical concepts include modeling networks as dynamical systems with numerical methods and new graph theoretical methods, but also focus on networks that change their topology as in morphogenesis and self-organization. The authors offer concepts to model network structures and dynamics, focussing on approaches applicable across disciplines.

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Robert Thomas J. Driving Results Through Social Networks. How Top Organizations Leverage Networks for Performance and Growth


Driving Results Through Social Networks shows executives and managers how to obtain substantial performance and innovation impact by better leveraging these traditionally invisible assets. For the past decade, Rob Cross and Robert J. Thomas have worked closely with executives from over a hundred top-level companies and government agencies. In this groundbreaking book, they describe in-depth how these leaders are using network thinking to increase revenues, lower costs, and accelerate innovation.

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Tom Watson CauseWired. Plugging In, Getting Involved, Changing the World


Now in paperback, an eye-opening guide to the massive societal impact of online social networks For today's super-wired, always-on, live-life-in-public young Americans, the causes they support define who they are. Societal aspirations have so permeated the «net native» population that causes have become like musical tastes. CauseWired illustrates wired causes in action, bringing real-world stories to readers. Tracks the massive societal impact on causes of online social networks-from blogs, to video, to the rise of social networks Reveals the extraordinary influence of online social networks-in raising money for charity, in changing the political climate and electing candidates, and in raising consciousness for causes From Facebook causes and campaigns on MySpace, to a raft of new startups and innovative projects like Kiva, Change.org and DonorsChoose, this immensely relevant book delivers actionable research and recommendations to help readers launch their own successful wired social campaigns.

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Dionne Kasian-Lew The Social Executive. How to Master Social Media and Why It's Good for Business


Social media is not about social media. It's about leadership and connections. Billions of conversations are taking place in social networks every day. But for busy executives and business owners, time constraints make it hard to dedicate time to demystifying these communication opportunities. In The Social Executive, readers are given evidence-based, data-driven strategies for mastering social media, and using it to enable business success. This book's easy, straightforward, practical style ensures that you will gain a solid working platform in the shortest amount of time possible. The focus is on the reasons why social media is important for executives, and how it aligns perfectly with business strategies. The Social Executive is for analogue people who know they need to be digital but need a guiding hand – the book is a safety net – it's saying – we will guide you there – we will tell you why – we will tell you how – let us help you to remain relevant and become more influential – it's about human communication. It gives the tips and tools to adapt to new online environments, and the confidence to use them to build credibility, authority deeper and new business relationships. Written by Dionne Kasian-Lew, an expert who has advised many executives on the topic of corporate social media use, this resource also helps professionals pinpoint the most important social networks to invest time in, and explores which platforms are best suited for various communication goals. Brings together strategy and concrete actions, so can learn not only the most rewarding approaches, but how best to carry them out Delves into the benefits of a strong presence on the most popular social networks, including Twitter, LinkedIn, SlideShare, Pinterest, Instagram, Google+ and YouTube Presents hard evidence that shows the positive results of investing time and energy in social networks Focuses on the most important aspects of social networks that can be learned in a short period, and is designed for busy professionals Social networks represent a powerful way to make connections and draw attention and interest to your company. This resource can help you hit the ground running and become social media savvy efficiently and effectively.

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Akbar G. Rahbar Quality of Service in Optical Packet Switched Networks


This book is a comprehensive study on OPS networks, its architectures, and developed techniques for improving its quality of switching and managing quality of service. The book includes: Introduction to OPS networks, OOFDM networks, GMPLS-enabled optical networks, QoS in OPS networks Hybrid contention avoidance/resolution schemes in both long-haul and metro optical networks Hybrid optical switching schemes

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Группа авторов Facebook and Philosophy


Facebook and Philosophy is an entertaining, multi-faceted exploration of what Facebook means for us and for our relationships. With discussions ranging from the nature of friendship and its relationship to «friending,» to the (debatable) efficacy of «online activism,» this book is the most extensive and systematic attempt to understand Facebook yet. And with plenty of new perspectives on Twitter and Web 2.0 along the way, this fun, thought-provoking book is a serious and significant contribution for anyone working with social media, whether in academia, journalism, public relations, activism, or business. Exploring far-reaching questions — Can our interactions on Facebook help us care about each other more? Does Facebook signal the death of privacy, or (perhaps worse yet) the death of our desire for privacy? — Facebook and Philosophy is vital reading for anyone involved in social networks today.

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Anthony Johnson Social Network Analysis with Applications


A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.

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Liqiang Nie Learning from Multiple Social Networks

Susan B. Barnes Social Networks

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