Networked Social Influence

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Social Influence Network Theory

Author : Noah E. Friedkin
Publisher : Cambridge University Press
ISBN 13 : 113949905X
Total Pages : 391 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Social Influence Network Theory by : Noah E. Friedkin

Download or read book Social Influence Network Theory written by Noah E. Friedkin and published by Cambridge University Press. This book was released on 2011-04-18 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which group members are responding to the displayed positions of the members of the group. Social influence network theory advances a dynamic social cognition mechanism, in which individuals are weighing and combining their own and others' positions on an issue in the revision of their own positions. The influence network construct of the theory is the social structure of the endogenous interpersonal influences that are involved in this mechanism. With this theory, the authors seek to lay the foundation for a better formal integration of classical and current lines of work on small groups in psychological and sociological social psychology.

Social Influence Network Theory

Author : Noah E. Friedkin
Publisher :
ISBN 13 : 9781139078283
Total Pages : 391 pages
Book Rating : 4.0/5 (782 download)

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Book Synopsis Social Influence Network Theory by : Noah E. Friedkin

Download or read book Social Influence Network Theory written by Noah E. Friedkin and published by . This book was released on 2014-05-14 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which group members are responding to the displayed positions of the members of the group. Social influence network theory advances a dynamic social cognition mechanism, in which individuals are weighing and combining their own and others' positions on an issue in the revision of their own positions. The influence network construct of the theory is the social structure of the endogenous interpersonal influences that are involved in this mechanism. With this theory, the authors seek to lay the foundation for a better formal integration of classical and current lines of work on small groups in psychological and sociological social psychology.

A Networked Self

Author : Zizi Papacharissi
Publisher : Routledge
ISBN 13 : 1135966168
Total Pages : 337 pages
Book Rating : 4.1/5 (359 download)

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Book Synopsis A Networked Self by : Zizi Papacharissi

Download or read book A Networked Self written by Zizi Papacharissi and published by Routledge. This book was released on 2010-09-10 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Networked Self examines self presentation and social connection in the digital age. This collection brings together new work on online social networks by leading scholars from a variety of disciplines. The volume is structured around the core themes of identity, community, and culture—the central themes of social network sites. Contributors address theory, research, and practical implications of the many aspects of online social networks.

Networked

Author : Lee Rainie
Publisher : MIT Press
ISBN 13 : 0262526166
Total Pages : 373 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Networked by : Lee Rainie

Download or read book Networked written by Lee Rainie and published by MIT Press. This book was released on 2014-02-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: How social networks, the personalized Internet, and always-on mobile connectivity are transforming—and expanding—social life. Daily life is connected life, its rhythms driven by endless email pings and responses, the chimes and beeps of continually arriving text messages, tweets and retweets, Facebook updates, pictures and videos to post and discuss. Our perpetual connectedness gives us endless opportunities to be part of the give-and-take of networking. Some worry that this new environment makes us isolated and lonely. But in Networked, Lee Rainie and Barry Wellman show how the large, loosely knit social circles of networked individuals expand opportunities for learning, problem solving, decision making, and personal interaction. The new social operating system of “networked individualism” liberates us from the restrictions of tightly knit groups; it also requires us to develop networking skills and strategies, work on maintaining ties, and balance multiple overlapping networks. Rainie and Wellman outline the “triple revolution” that has brought on this transformation: the rise of social networking, the capacity of the Internet to empower individuals, and the always-on connectivity of mobile devices. Drawing on extensive evidence, they examine how the move to networked individualism has expanded personal relationships beyond households and neighborhoods; transformed work into less hierarchical, more team-driven enterprises; encouraged individuals to create and share content; and changed the way people obtain information. Rainie and Wellman guide us through the challenges and opportunities of living in the evolving world of networked individuals.

Networks, Crowds, and Markets

Author : David Easley
Publisher : Cambridge University Press
ISBN 13 : 1139490303
Total Pages : 745 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Networks, Crowds, and Markets by : David Easley

Download or read book Networks, Crowds, and Markets written by David Easley and published by Cambridge University Press. This book was released on 2010-07-19 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

The Handbook of the Psychology of Communication Technology

Author : S. Shyam Sundar
Publisher : John Wiley & Sons
ISBN 13 : 1118413369
Total Pages : 613 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis The Handbook of the Psychology of Communication Technology by : S. Shyam Sundar

Download or read book The Handbook of the Psychology of Communication Technology written by S. Shyam Sundar and published by John Wiley & Sons. This book was released on 2015-03-16 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of the Psychology of Communication Technology offers an unparalleled source for seminal and cutting-edge research on the psychological aspects of communicating with and via emergent media technologies, with leading scholars providing insights that advance our knowledge on human-technology interactions. • A uniquely focused review of extensive research on technology and digital media from a psychological perspective • Authoritative chapters by leading scholars studying psychological aspects of communication technologies • Covers all forms of media from Smartphones to Robotics, from Social Media to Virtual Reality • Explores the psychology behind our use and abuse of modern communication technologies • New theories and empirical findings about ways in which our lives are transformed by digital media

Network Models of the Diffusion of Innovations

Author : Thomas W. Valente
Publisher :
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Network Models of the Diffusion of Innovations by : Thomas W. Valente

Download or read book Network Models of the Diffusion of Innovations written by Thomas W. Valente and published by . This book was released on 1995 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a key to understanding how ideas, products and opinions take off and spread throughout society - referred to as the diffusion of innovation - and provides a means to estimate how fast or slow that spread occurs. The diffusion of innovations occurs among individuals in a social system, and the pattern of communications among these individuals is a social network. The network determines how quickly innovations diffuse and the timing of each individual's adoption. The book thus analyses how social networks structure the diffusion of innovation.

Advances in Social Network Analysis

Author : Stanley Wasserman
Publisher : SAGE Publications
ISBN 13 : 1452253919
Total Pages : 320 pages
Book Rating : 4.4/5 (522 download)

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Book Synopsis Advances in Social Network Analysis by : Stanley Wasserman

Download or read book Advances in Social Network Analysis written by Stanley Wasserman and published by SAGE Publications. This book was released on 1994-07-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.

Information and Influence Propagation in Social Networks

Author : Wei Chen
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627051163
Total Pages : 179 pages
Book Rating : 4.6/5 (27 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 Morgan & Claypool Publishers. This book was released on 2013-10-01 with total page 179 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.

Networks for Social Impact

Author : Michelle Shumate
Publisher : Oxford University Press
ISBN 13 : 0190091991
Total Pages : 289 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Networks for Social Impact by : Michelle Shumate

Download or read book Networks for Social Impact written by Michelle Shumate and published by Oxford University Press. This book was released on 2022-01-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad review of how nonprofits, businesses, and governments work together to tackle social problems Networks for Social Impact takes a systems approach to explain how and when networks make a social impact. Michelle Shumate and Katherine R. Cooper argue that network design and management is not a one-size-fits-all formula. Instead, they show that the type of social issue, the mechanism for social impact, environment, and resources available each determine appropriate choices. Drawing on research from public administration, psychology, business, network science, social work, and communication, this book synthesizes what we know about how to best design and manage networks. It includes illustrations from thirty original case studies which describe groups of organizations addressing issues such as gender-based violence, educational outcomes, senior care, veterans' services, mental health and wellness, and climate change. Additionally, the volume examines critical issues that leaders address in creating and managing networks, including social issue analysis, network governance, securing and managing funding, dealing with power and conflict, using data effectively, and managing change. Each chapter includes tools for network leaders to use to handle these issues. This book is neither an overly idealistic, pro-collaboration account of the benefits of network approaches, nor is it a critical view of these efforts. Instead, this clear and concise volume highlights the opportunities and challenges of networks.

The Psychology of Social Networking Vol.1

Author : Giuseppe Riva
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311047378X
Total Pages : 232 pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis The Psychology of Social Networking Vol.1 by : Giuseppe Riva

Download or read book The Psychology of Social Networking Vol.1 written by Giuseppe Riva and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-01-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a novel approach to consider the available literature and research, this book focuses on the psychology of social media based on the assumption that the experience of being in a social media has an impact on both our identity and social relationships. In order to ‘be online’, an individual has to create an online presence – they have to share information about themselves online. This online self is presented in different ways, with diverse goals and aims in order to engage in different social media activities and to achieve desired outcomes. Whilst this may not be a real physical presence, that physicality is becoming increasingly replicated through photos, video, and ever-evolving ways of defining and describing the self online. Moreover, individuals are using both PC-based and mobile-based social media as well as increasingly making use of photo and video editing tools to carefully craft and manipulate their online self. This book therefore explores current debates in Cyberpsychology, drawing on the most up-to-date theories and research to explore four main aspects of the social media experience (communication, identity, presence and relationships). In doing so, it considers the interplay of different areas of psychological research with current technological and security insight into how individuals create, manipulate and maintain their online identity and relationships. The social media are therefore at the core of every chapter, with the common thread throughout being the very unique approach to considering diverse and varied online behaviours that may not have been thus far considered from this perspective. It covers a broad range of both positive and negative behaviours that have now become integrated into the daily lives of many westernised country’s Internet users, giving it an appeal to both scholarly and industry readers alike.

A Network Approach to Web 2.0 Social Influence

Author : Kyounghee Kwon
Publisher :
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4.:/5 (714 download)

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Book Synopsis A Network Approach to Web 2.0 Social Influence by : Kyounghee Kwon

Download or read book A Network Approach to Web 2.0 Social Influence written by Kyounghee Kwon and published by . This book was released on 2011 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Sites (SNS), the most prevalent Web 2.0 service, blossom with interpersonal sharing practices. A culture of sharing and the subsequent production of abundant social information are driven by the visibility of digital networked-ness. Social information embedded in digital social networks influences the shaping of our attitudes, thoughts, and online behaviors. Marketers and campaigners have been taking advantage of SNS's social information for various instrumental goals. Based on a cyber-field behavioral experiment on Facebook, this dissertation attempts to theorize underlying mechanisms of the SNS social influence process and analyze the ensuing formation of a collective communication structure. This dissertation particularly emphasizes the social network effects on the influence outcome. Multilevel-perspectives are employed to analyze the dynamics of Facebook's social network influence. The findings are summarized as follows.^First, an individual-level examination was performed. Particularly, personal influence on mobilizing others' online behaviors was explored. The results found that the influentials in SNS were characterized as not only having a leader-like personality, but also being digitally connected to a diverse and large number of social contacts through participation in multiple virtual group activities and maintenance of heterogeneous personal networks. The findings of this project support the concept that the personal influence on Facebook should be understood as normative rather than informational. Second, structural social influence has been theorized based on three sub-mechanisms: Direct recommendation, social contagion, and network embeddedness.^The study found the following: (a) message compliance was stronger when individuals were exposed to multiple direct contacts; (b) Facebook displayed the effect of indirect exposure to others' behaviors, not just the effect of direct recommendation; in other words, it has a social contagion effect; and (c) While network embeddedness did not directly affect an individual's online behavior, this positional property acted as a moderator for direct recommendation and social contagion effects. Lastly, a macro-structural analysis was conducted to explore the properties of communication systems that emerged through social influence processing. The community structure strategically formed by this field experiment was examined based on the three well-known network topologies -scale-free, small-world, and centralization, finding the the emerged community was characterized as scale-free and small-world like and weakly centralized.^The implications of having such structural properties on the effectiveness of communication system are discussed.

The Oxford Handbook of Social Influence

Author : Stephen G. Harkins
Publisher : Oxford University Press
ISBN 13 : 0199859876
Total Pages : 497 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis The Oxford Handbook of Social Influence by : Stephen G. Harkins

Download or read book The Oxford Handbook of Social Influence written by Stephen G. Harkins and published by Oxford University Press. This book was released on 2017 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Social Influence restores this important field to its once preeminent position within social psychology. Editors Harkins, Williams, and Burger lead a team of leading scholars as they explore a variety of topics within social influence, seamlessly incorporating a range of analyses (including intrapersonal, interpersonal, and intragroup), and examine critical theories and the role of social influence in applied settings today.

The Human Network

Author : Matthew O. Jackson
Publisher : Vintage
ISBN 13 : 1101972963
Total Pages : 354 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis The Human Network by : Matthew O. Jackson

Download or read book The Human Network written by Matthew O. Jackson and published by Vintage. This book was released on 2020-02-04 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a fresh, intriguing, and, above all, authoritative book about how our sometimes hidden positions in various social structures—our human networks—shape how we think and behave, and inform our very outlook on life. Inequality, social immobility, and political polarization are only a few crucial phenomena driven by the inevitability of social structures. Social structures determine who has power and influence, account for why people fail to assimilate basic facts, and enlarge our understanding of patterns of contagion—from the spread of disease to financial crises. Despite their primary role in shaping our lives, human networks are often overlooked when we try to account for our most important political and economic practices. Matthew O. Jackson brilliantly illuminates the complexity of the social networks in which we are—often unwittingly—positioned and aims to facilitate a deeper appreciation of why we are who we are. Ranging across disciplines—psychology, behavioral economics, sociology, and business—and rich with historical analogies and anecdotes, The Human Network provides a galvanizing account of what can drive success or failure in life.

Social Network Data Analytics

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 1441984623
Total Pages : 508 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Social Network Data Analytics by : Charu C. Aggarwal

Download or read book Social Network Data Analytics written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2011-03-18 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Complex Spreading Phenomena in Social Systems

Author : Sune Lehmann
Publisher : Springer
ISBN 13 : 3319773321
Total Pages : 356 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Complex Spreading Phenomena in Social Systems by : Sune Lehmann

Download or read book Complex Spreading Phenomena in Social Systems written by Sune Lehmann and published by Springer. This book was released on 2018-06-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.

Understanding Social Influence Using Network Analysis and Machine Learning

Author : Adjodlah, Dhaval Dhamnidhi Kumar Adjodah
Publisher :
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Understanding Social Influence Using Network Analysis and Machine Learning by : Adjodlah, Dhaval Dhamnidhi Kumar Adjodah

Download or read book Understanding Social Influence Using Network Analysis and Machine Learning written by Adjodlah, Dhaval Dhamnidhi Kumar Adjodah and published by . This book was released on 2013 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: If we are to enact better policy, fight crime and decrease poverty, we will need better computational models of how society works. In order to make computational social science a useful reality, we will need generative models of how social influence sprouts at the interpersonal level and how it leads to emergent social behavior. In this thesis, I take steps at understanding the predictors and conduits of social influence by analyzing real-life data, and I use the findings to create a high-accuracy prediction model of individuals' future behavior. The funf dataset which comprises detailed high-frequency data gathered from 25 mobile phone-based signals from 130 people over a period of 15 months, will be used to test the hypothesis that people who interact more with each other have a greater ability to influence each other. Various metrics of interaction will be investigated such as self-reported friendships, call and SMS logs and Bluetooth co-location signals. The Burt Network Constraint of each pair of participants is calculated as a measure of not only the direct interaction between two participants but also the indirect friendships through intermediate neighbors that form closed triads with both the participants being assessed. To measure influence, the results of the live funf intervention will be used where behavior change of each participant to be more physically active was rewarded, with the reward being calculated live. There were three variants of the reward structure: one where each participant was rewarded for her own behavior change without seeing that of anybody else (the control), one where each participant was paired up with two 'buddies' whose behavior change she could see live but she was still rewarded based on her own behavior, and one where each participant who was paired with two others was paid based on their behavior change that she could see live. As a metric for social influence, it will be considered how the change in slope and average physical activity levels of one person follows the change in slope and average physical activity levels of the buddy who saw her data and/or was rewarded based on her performance. Finally, a linear regression model that uses the various types of direction and indirect network interactions will be created to predict the behavior change of one participant based on her closeness with her buddy. In addition to explaining and demonstrating the causes of social influence with unprecedented detail using network analysis and machine learning, I will discuss the larger topic of using such a technology-driven approach to changing behavior instead of the traditional policy-driven approach. The advantages of the technology-driven approach will be highlighted and the potential political-economic pitfalls of implementing such a novel approach will also be addressed. Since technology-driven approaches to changing individual behavior can have serious negative consequences for democracy and the free-market, I will introduce a novel dimension to the discussion of how to protect individuals from the state and from powerful private organizations. Hence, I will describe how transparency policies and civic engagement technologies can further this goal of 'watching the watchers'.