●全球大數據權威、可穿戴設備之父、MIT人類動力學實驗室主任。
●在近30年執教生涯中,彭特蘭培養齣瞭50餘位博士,其中一半成長為該研究領域的領軍人物,1/4成為創業公司的創始人,1/4成為業界相關領域的中堅力量。彭特蘭的實驗室孵化齣瞭30傢以上的高科技企業。
●在全球計算科學領域,彭特蘭是被引述次數最多的科學傢之一。2011年,《福布斯》評選他為全球大數據權威,《新聞周刊》稱他是“改變20世紀的100位美國人”之一。2012年,他關於大數據應用的文章獲得《哈佛商業評論》的麥肯锡奬。2008年和2013年,他的研究成果更是兩度摘得《麻省理工科技評論》“年度十大突破性科學技術”桂冠。
From one of the world’s leading data scientists, a landmark tour ofthe 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.
为了以更精确的方法研究社会,阿莱克斯·彭特兰创立了一门新的学科——社会物理学。简单来说,就是像物理学那样,在社会科学领域做定量研究。为此,他和同事们使用了社会计量牌。这种电子设备可以像智能手机那样收集人与人之间的互动信息。之后,这些数据会被用来研究社会的互...
評分1 坚持看完本书,就内容的可阅读性来说,没有什么新理念,就是提了几个新名词,简单解释一下就可以了,没必要写成一个200多页的书。 2 书的页数250页左右,引言、序、推荐、目录等20页,附录和参考书目占了42页,每个章节都空了2-3页,每页的内容也不太多,感觉纯粹是为了凑数...
評分 評分 評分彭特兰带领的媒介实验室通过大数据的搜集和分析证实了社会网络理论中的原有的很多假设。例如,社会网络的大小与想法的多样性有正相关关系;社会网络的互动密度与效率显著相关。 作者创造性地使用了“想法流”这一概念。通过监测想法流的流动方向、流动密度来考察信息间的互动,...
作者用通俗易懂的文字介紹瞭社會物理學的作用和一些典型案例。但是作為一本不是麵嚮計算機專業的書,缺少各種信息挖掘的技術內容。當然作者提供瞭許多的網頁,這些網頁都是相關的公司或者組織,具體工具和數據的使用還有待後續的瞭解。但是作者提齣的許多觀點還是值得學習和藉鑒的。
评分作者邏輯有問題,論據並不支持論點,比如物質刺激那個例子就不恰當,還有兩地奔波的成本問題故意忽略,所以得到的論點有頗為偏頗。最後是不是為瞭湊數暢銷書,居然用瞭幾章談大數據,真是什麼都能跟大數據扯上關係啊!
评分通俗易懂,但看完瞭沒有特彆醍醐灌頂的地方
评分科普書,這書上講得都是物理人熟的不能再熟的東西瞭。
评分草草翻過
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