A landmark tour of the new science of "idea flow" outlines revolutionary insights into the mysteries of collective intelligence and social influence, explaining the virtually unlimited data sets of today's digital technologies and the considerable accuracy of information from social networks.

"From one of the world's leading data scientists, a landmark tour of the new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence" If the Big Data revolution has a presiding genius, it is MIT's Alex "Sandy" Pentland. Over years of groundbreaking experiments, he has distilled remarkable discoveries significant enough to become the bedrock of a whole new scientific field: social physics. Humans have more in common with bees than we like to admit: We're social creatures first and foremost. Our most important habits of action--and most basic notions of common sense--are wired into us through our coordination in social groups. Social physics is about "idea flow," the way human social networks spread ideas and transform those ideas into behaviors. Thanks to the millions of digital bread crumbs people leave behind via smartphones, GPS devices, and the Internet, the amount of new information we have about human activity is truly profound. Until now, sociologists have depended on limited data sets and surveys that tell us how people "say" they think and behave, rather than what they actually "do." As a result, we've been stuck with the same stale social structures--classes, markets--and a focus on individual actors, data snapshots, and steady states. Pentland shows that, in fact, humans respond much more powerfully to social incentives that involve rewarding others and strengthening the ties that bind than incentives that involve only their own economic self-interest. Pentland and his teams have found that they can study "patterns "of information exchange in a social network without any knowledge of the actual "content "of the information and predict with stunning accuracy how productive and effective that network is, whether it's a business or an entire city. We can maximize a group's collective intelligence to improve performance and use social incentives to create new organizations and guide them through disruptive change in a way that maximizes the good. At every level of interaction, from small groups to large cities, social networks can be tuned to increase exploration and engagement, thus vastly improving idea flow. "Social Physics" will change the way we think about how we learn and how our social groups work--and can be made to work better, at every level of society. Pentland leads readers to the edge of the most important revolution in the study of social behavior in a generation, an entirely new way to look at life itself.

Where do ideas come from? How do they get put into action? How can we create social structures that are productive and creative? If the Big Data revolution has a presiding genius, it is MIT’s Alex Pentland. Over years of groundbreaking experiments, he has distilled remarkable discoveries that have become the bedrock of a new scientific field: social physics. This revolutionary science shows that innovation doesn’t come from a few exceptionally bright people, but from the flow of ideas — especially how our social networks spread ideas and turn those ideas into behaviours. Thanks to the rise of smartphones, GPS devices, and the internet, Pentland and his teams can study patterns of information exchange in a social network, without any knowledge of the content of the information. Using this data, they can tell with stunning accuracy how effective that network is, whether it’s a business or an entire city. Pentland shows us how to fine-tune these networks to improve their performance — for instance, by maximising a group’s collective intelligence, or by using social incentives to work through disruptive change. Social Physics will change the way we think about how we learn and how our social groups work — and can be made to work better, at every level of society. It is an entirely new way to look at life itself.

From one of the world’s leading data scientists, a landmark tour of the new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence If the Big Data revolution has a presiding genius, it is MIT’s Alex “Sandy” Pentland. Over years of groundbreaking experiments, he has distilled remarkable discoveries significant enough to become the bedrock of a whole new scientific field: social physics. Humans have more in common with bees than we like to admit: We’re social creatures first and foremost. Our most important habits of action—and most basic notions of common sense—are wired into us through our coordination in social groups. Social physics is about idea flow, the way human social networks spread ideas and transform those ideas into behaviors. Thanks to the millions of digital bread crumbs people leave behind via smartphones, GPS devices, and the Internet, the amount of new information we have about human activity is truly profound. Until now, sociologists have depended on limited data sets and surveys that tell us how people say they think and behave, rather than what they actually do. As a result, we’ve been stuck with the same stale social structures—classes, markets—and a focus on individual actors, data snapshots, and steady states. Pentland shows that, in fact, humans respond much more powerfully to social incentives that involve rewarding others and strengthening the ties that bind than incentives that involve only their own economic self-interest. Pentland and his teams have found that they can study patterns of information exchange in a social network without any knowledge of the actual content of the information and predict with stunning accuracy how productive and effective that network is, whether it’s a business or an entire city. We can maximize a group’s collective intelligence to improve performance and use social incentives to create new organizations and guide them through disruptive change in a way that maximizes the good. At every level of interaction, from small groups to large cities, social networks can be tuned to increase exploration and engagement, thus vastly improving idea flow. Social Physics will change the way we think about how we learn and how our social groups work—and can be made to work better, at every level of society. Pentland leads readers to the edge of the most important revolution in the study of social behavior in a generation, an entirely new way to look at life itself.

A new, counterintuitive theory for how social networks influence the spread of behavior New social movements, technologies, and public-health initiatives often struggle to take off, yet many diseases disperse rapidly without issue. Can the lessons learned from the viral diffusion of diseases improve the spread of beneficial behaviors and innovations? How Behavior Spreads presents over a decade of original research examining how changes in societal behavior—in voting, health, technology, and finance—occur and the ways social networks can be used to influence how they propagate. Damon Centola's startling findings show that the same conditions that accelerate the viral expansion of an epidemic unexpectedly inhibit the spread of behaviors. How Behavior Spreads is a must-read for anyone interested in how the theory of social networks can transform our world.

“A thorough yet thoroughly digestible book on the ubiquity of data gathering and the unraveling of personal privacy.” —Daniel Pink, author of Drive Thanks to recent advances in technology, prediction models for individual behavior grow more sophisticated by the day. Whether you’ll marry, commit a crime or fall victim to one, or contract a disease are becoming easily accessible facts. The naked future is upon us, and the implications are staggering. Patrick Tucker draws on fascinating stories from health care to urban planning to online dating. He shows how scientists can predict your behavior based on your friends’ Twitter updates, anticipate the weather a year from now, figure out the time of day you’re most likely to slip back into a bad habit, and guess how well you’ll do on a test before you take it. Tucker knows that the rise of Big Data is not always a good thing. But he also shows how we’ve gained tremendous benefits that we have yet to fully realize.

How understanding the signaling within social networks can change the way we make decisions, work with others, and manage organizations. How can you know when someone is bluffing? Paying attention? Genuinely interested? The answer, writes Alex Pentland in Honest Signals, is that subtle patterns in how we interact with other people reveal our attitudes toward them. These unconscious social signals are not just a back channel or a complement to our conscious language; they form a separate communication network. Biologically based “honest signaling,” evolved from ancient primate signaling mechanisms, offers an unmatched window into our intentions, goals, and values. If we understand this ancient channel of communication, Pentland claims, we can accurately predict the outcomes of situations ranging from job interviews to first dates. Pentland, an MIT professor, has used a specially designed digital sensor worn like an ID badge—a “sociometer”—to monitor and analyze the back-and-forth patterns of signaling among groups of people. He and his researchers found that this second channel of communication, revolving not around words but around social relations, profoundly influences major decisions in our lives—even though we are largely unaware of it. Pentland presents the scientific background necessary for understanding this form of communication, applies it to examples of group behavior in real organizations, and shows how by “reading” our social networks we can become more successful at pitching an idea, getting a job, or closing a deal. Using this “network intelligence” theory of social signaling, Pentland describes how we can harness the intelligence of our social network to become better managers, workers, and communicators.