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| 1 | 《Science》杂志发表关于计算社会科学的文章:Computational Social Science显示文摘计算科学是一门正在兴起的综合性学科,它依赖于先进的计算机及计算技术对理论科学、大型实验、观测数据、应用科学、国防以及社会科学进行模型化、模拟与仿真、计算等。特别是对极复杂系统进行模型与程序化,然后利用计算机给出严格理论及实验无法达到的过程数据或者直接模拟出整个复杂过程的演变或者预测过程的发展趋势。对基础科学、应用科学、国防科学、社会科学以及工程技术等的发展有着不可估量的科学作用与经济效益。其中,随着信息化和网络化的不断普及与深入,社会动态变化的速度和规模已经提高到一个前所未有的水平,计算科学在社会科学中的深入应用,即计算社会科学也将成为科研信息化发展中一个新的热点。本刊对《Science》2009年2月发表的一篇关于计算社会科学的文章《Computational Social Science》进行了摘编,该文由美国多个大学及研究机构的共15名研究人员共同编写,文章从计算社会科学的数据获取、研究方法及其制约因素,以及人才的培养等几个方面,描述了计算社会科学的发展、讨论了社会科学研究的特点等。其主要目的是想借此文向广大读者介绍计算社会科学这一学科理念,推动这一对于提高社会科学研究水平和规范性的研究方法在国内的发展,并以此进一步繁荣我国社会科学研究工作。 | 张鉴 孔丽华 David Lazer Alex Pentland Lada Adamic Sinan Aral Albert-László Barabási Devon Brewer Nicholas Christakis Noshir Contractor James Fowler Myron Gutmann Tony Jebara Gary King Michael Macy Deb Roy Marshall Van Alstyne | 2010 | 科研信息化技术与应用2010，0，2： | 5 |
| 2 | BLOCKCHAIN TECHNOLOGIES AND APPLICATIONS显示文摘Blockchain is a technology that uses community validation to synchronize the content of ledgers replicated by multiple users.Although Blockchain derives its origins from technologies introduced decades ago,recently it has received an astonishing amount of attention in both academic and industry due to its charac-teristics of decentralization,point-to-point transmission,transparency,traceability,non-tampering,and data security.Both researchers and practitioners have recognized that Blockchain can be used to solve complex technical or socio-economic problems. | Erwu Liu Alex“Sandy”Pentland Greg Adamson Ramesh Ramadoss Yixian Yang Wei-Tek Tsai Yunlei Zhao Min Lei | 2019 | China Communications2019，16，6： | 2 |
| 3 | The Strength of Structural Diversity in Online Social Networks显示文摘Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes.Leveraging a large-scale dataset from a knowledge-sharing website,this paper presents an exploratory investigation of the way to depict structural diversity in directed networks and how it can be utilized to predict one’s online social reputation.To capture the structural diversity of an individual,we first consider the number of weakly and strongly connected components in one’s contact neighborhood and further take the coexposure network of social neighbors into consideration.We show empirical evidence that the structural diversity of an individual is able to provide valuable insights to predict personal online social reputation,and the inclusion of a coexposure network provides an additional ingredient to achieve that goal.After synthetically controlling several possible confounding factors through matching experiments,structural diversity still plays a nonnegligible role in the prediction of personal online social reputation.Our work constitutes one of the first attempts to empirically study structural diversity in directed networks and has practical implications for a range of domains,such as social influence and collective intelligence studies. | Yafei Zhang Lin Wang Jonathan JHZhu Xiaofan Wang Alex‘Sandy’Pentland | 2021 | Research2021，，1： | 2 |
| 4 | Fractal-based description of nature scenes显示文摘 | Pentland A P | 1984 | IEEE Trans on Pattern Analysis and Machine Intelligence1984，6，6： | 2 |
| 5 | Recursive estimation of motion,structure and focal length显示文摘 | Azarbayejani A Pentland A | 1995 | 1EEE Transactions on Pattern Analysis and Machine Intelligence1995，17，6： | 2 |
| 6 | Bayesian Face Recognition 显示文摘 | MOGHADDAM B JEBARA T PENTLAND A | 2000 | Pattern Recognition2000，，33： | 1 |
| 7 | Eigenfaces for Recognition显示文摘 | Turk M Pentland A | 1991 | Journal of Cognitive Neurosicence1991，3，1： | 1 |
| 8 | Autonomous mental development by robots and animals 显示文摘 | WENG J MCCLELLAND J PENTLAND A | 2001 | Science2001，291，： | 1 |
| 9 | Eigenfaces for recognition 显示文摘 | Turk M Pentland A | 1991 | J of Cognitive Neuroscience1991，3，1： | 1 |
| 10 | Automatic extraction of deformable part models显示文摘 | A Pentland | 1990 | Int J Comput1990，13，2： | 1 |
| 11 | Probabilistic visual learning for object representation 显示文摘 | Moghaddam B Pentland A D | 1997 | IEEE Trans PAMI1997，19，7： | 1 |
| 12 | Eigenfaces for face recognition显示文摘 | TURK M PENTLAND A | 1991 | Journal Cognitive Neuroscience1991，3，1： | 1 |
| 13 | A Bayesian computer vision system for modeling human interactions显示文摘 | Oliver N M Rosario B Pentland A P | 2000 | IEEE Trans PAMI2000，22，8： | 1 |
| 14 | Eigenfaces for ecognition 显示文摘 | Turk Pentland | 1991 | Journal of Cognitive Neuroscience1991，3，1： | 1 |
| 15 | Eigen faces for recognition显示文摘 | TURK M PENTLAND A | | 0，，01： | 1 |
| 16 | Eigenfaces for recognition显示文摘 | Turk M Pentland A | 1991 | Journal of Cognitive Neuroscienee1991，3，1： | 1 |
| 17 | Eigenfaces for recognition 显示文摘 | TURK M PENTLAND A | 1991 | Journal of Cognitive Neuroscience1991，3，1： | 1 |
| 18 | Reconceptualizing Organizational Routines as a Source of Flexibility and Change显示文摘 | Feldman Martha S Pentland Brian T | 2003 | Administrative Science Quarterly2003，48，： | 1 |
| 19 | Fractal-based description of natural scenes 显示文摘 | Pentland A P | 1984 | IEEE Transactions on Pattern Analysis and Machine Intelligence1984，6，6： | 1 |
| 20 | Eigenfaces for Recognition显示文摘 | Turk M Pentland A | 1991 | Journal of Cognitive Neuroscience1991，3，1： | 1 |
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