The Power Of Information Networks

The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.

The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.

An accessible illustrated introducton to the networks we use every day, from Facebook and Google to WiFi and the Internet What makes WiFi faster at home than at a coffee shop? How does Google order search results? Is it really true that everyone on Facebook is connected by six steps or less? The Power of Networks answers questions like these for the first time in a way that all of us can understand. Using simple language, analogies, stories, hundreds of illustrations, and no more math than simple addition and multiplication, Christopher Brinton and Mung Chiang provide a smart and accessible introduction to the handful of big ideas that drive the computer networks we use every day. The Power of Networks unifies these ideas through six fundamental principles of networking. These principles explain the difficulties in sharing network resources efficiently, how crowds can be wise or not so wise depending on the nature of their connections, why there are many layers in a network, and more. Along the way, the authors also talk with and share the special insights of renowned experts such as Google’s Eric Schmidt, former Verizon Wireless CEO Dennis Strigl, and “fathers of the Internet” Vint Cerf and Bob Kahn.

Real world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. Therefore, effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this monograph, we investigate the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view data as homogeneous graphs or networks, our semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from interconnected data. This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies for mining interconnected data, including (1) rank-based clustering and classification, (2) meta-path-based similarity search and mining, (3) relation strength-aware mining, and many other potential developments. This monograph introduces this new research frontier and points out some promising research directions.

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.

This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimately should be the basis for improving the PageRank algorithm, and he presents algorithms that exploit the convergence behavior of individual components of the PageRank vector. Kamvar then extends the ideas of reputation management and personalized search to distributed networks like peer-to-peer and social networks. He highlights locality and computational considerations related to the structure of the network, and considers such unique issues as malicious peers. He describes the EigenTrust algorithm and applies various PageRank concepts to P2P settings. Discussion chapters summarizing results conclude the book's two main sections. Clear and thorough, this book provides an authoritative look at central innovations in search for all of those interested in the subject.

In this volume, experts analyze the global governance of electronic networks, emphasizing international power dynamics and the concerns of nondominant actors. Each chapter concludes with a set of policy recommendations for the promotion of an open, dynamic and more equitable networld order.

"The Power of Networks describes a typology of network-based research practices in the historical disciplines, ranging from the use of quantitative network analysis in cultural, economic, social or political history or religious studies, to novel approaches in the Digital Humanities. Network data visualisations and calculations have proven to be useful tools for the analysis of mostly textual sources containing relational information, offering new perspectives on complex historical phenomena. Including case studies from antiquity to contemporary history, the book provides a clear demonstration of the opportunities historical network research (HNR) provides for historical studies. The examples presented within the pages of this volume are arranged in a way to highlight three central typological pillars of HNR: (re-)construction and analysis of historical networks; computational extraction of network data; and infrastructures for data collection and exploration. The Power of Networks outlines the history and current state of research in HNR and points towards future research frontiers in the wake of new digital technologies. As such, the book should be essential reading for academics, students and practitioners with an interest in digital humanities, history, archaeology and religion"--