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.
●全球大数据权威、可穿戴设备之父、MIT人类动力学实验室主任。
●在近30年执教生涯中,彭特兰培养出了50余位博士,其中一半成长为该研究领域的领军人物,1/4成为创业公司的创始人,1/4成为业界相关领域的中坚力量。彭特兰的实验室孵化出了30家以上的高科技企业。
●在全球计算科学领域,彭特兰是被引述次数最多的科学家之一。2011年,《福布斯》评选他为全球大数据权威,《新闻周刊》称他是“改变20世纪的100位美国人”之一。2012年,他关于大数据应用的文章获得《哈佛商业评论》的麦肯锡奖。2008年和2013年,他的研究成果更是两度摘得《麻省理工科技评论》“年度十大突破性科学技术”桂冠。
书还是蛮值得一看的,业余时间尝试翻译成中文,中文组: http://www.douban.com/group/544100/ 高度连接的互联网时代人类社会的系统模式。基于大数据、社交网络、信息流基础之上的,创新模式,自我成长,城市感知,信息传播,以及协同行为。
评分其实这是第二次翻完这本书 第一次看的时候是在长途车上随便翻翻,结果几乎啥也没看懂。 因为这书的信息量太大,一两句话都能让人玩味会儿。所以我很多时候,并不知道作者想表达啥。 这次,认认真真看了下,全书【第一章到第八章】都写得非常好,读起来津津有味,提供了新的视角...
评分 评分作者是麻省理工的学者,研究的社会物理学,主要的关注点是想法流(idea flow)的传播的规律。 看完后基本的感觉是社会物理学的内容比较有新意,另外这是严肃的社会学研究而不是拍脑袋空想。但是全书的缺陷社会物理学作为一门科学,书中提出来的规律、定理太少了。社会物理学的...
话题很有意思,作者也很牛,可惜作者从材料的组织,观点的叙述,到表达的趣味都是完全没有的,还不如直接去看他写的论文呢……不推荐不推荐不推荐
评分读完无感,需要把作者的论文都找来读。。。汪小帆和女儿翻译了这本书,有机会再读一遍。
评分读完无感,需要把作者的论文都找来读。。。汪小帆和女儿翻译了这本书,有机会再读一遍。
评分社交网络交互流行大量数据信息,数据解读和利用帮更好理解人类社交生活。然而数据隐私是随之而来的一个问题。值得细读。
评分话题很有意思,作者也很牛,可惜作者从材料的组织,观点的叙述,到表达的趣味都是完全没有的,还不如直接去看他写的论文呢……不推荐不推荐不推荐
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