●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 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.
發表於2024-12-23
Social Physics 2024 pdf epub mobi 電子書 下載
彭特蘭帶領的媒介實驗室通過大數據的搜集和分析證實瞭社會網絡理論中的原有的很多假設。例如,社會網絡的大小與想法的多樣性有正相關關係;社會網絡的互動密度與效率顯著相關。 作者創造性地使用瞭“想法流”這一概念。通過監測想法流的流動方嚮、流動密度來考察信息間的互動,...
評分書還是蠻值得一看的,業餘時間嘗試翻譯成中文,中文組: http://www.douban.com/group/544100/ 高度連接的互聯網時代人類社會的係統模式。基於大數據、社交網絡、信息流基礎之上的,創新模式,自我成長,城市感知,信息傳播,以及協同行為。
評分 評分“擁有最好想法的並不是最聰明的人,而是那些最擅長從彆人那裏獲取想法的人;推動變革的並不是最堅定的人,而是那些最能與誌同道閤者相處的人;最能激發人的不是財富和聲望,而是來自同伴的尊重和幫助。物理學旨在瞭解能量的流動是如何轉化為運動的改變,社會物理學旨在瞭解想...
圖書標籤: 社會物理 社會計算 復雜係統 NonFiction 通識 營銷 英文原版 經濟學
一個物理PhD candidate 和一個社會學PhD candidate 討論小組的第一本書
評分話題很有意思,作者也很牛,可惜作者從材料的組織,觀點的敘述,到錶達的趣味都是完全沒有的,還不如直接去看他寫的論文呢……不推薦不推薦不推薦
評分話題很有意思,作者也很牛,可惜作者從材料的組織,觀點的敘述,到錶達的趣味都是完全沒有的,還不如直接去看他寫的論文呢……不推薦不推薦不推薦
評分讀完無感,需要把作者的論文都找來讀。。。汪小帆和女兒翻譯瞭這本書,有機會再讀一遍。
評分話題很有意思,作者也很牛,可惜作者從材料的組織,觀點的敘述,到錶達的趣味都是完全沒有的,還不如直接去看他寫的論文呢……不推薦不推薦不推薦
Social Physics 2024 pdf epub mobi 電子書 下載