Social science. Computational social science.
Social science. Computational social science.
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DOI：
10.1126/science.1167742
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发表时间：
2009-02-06
期刊：
影响因子：
--
通讯作者：
Van Alstyne M
中科院分区：
文献类型：
--
作者：
Lazer D;Pentland A;Adamic L;Aral S;Barabasi AL;Brewer D;Christakis N;Contractor N;Fowler J;Gutmann M;Jebara T;King G;Macy M;Roy D;Van Alstyne M
我们生活在网络中。我们定期查看电子邮件，在几乎任何地方打移动的电话，刷交通卡乘坐公共交通工具，用信用卡购物。我们在公共场所的活动可能会被摄像机捕捉到，我们的医疗记录也会被存储为数字文件。我们可能会发布任何人都可以访问的博客条目，或通过在线社交网络保持友谊。这些交易中的每一笔都留下了数字痕迹，这些痕迹可以被汇编成个人和群体行为的综合图片，并有可能改变我们对生活、组织和社会的理解。收集和分析大量数据的能力已经改变了生物学和物理学等领域。但数据驱动的“计算社会科学”的出现要慢得多。在经济学、社会学和政治学的主要期刊上，几乎没有关于这一领域的证据。但计算社会科学正在发生-在互联网公司，如谷歌和雅虎，并在政府机构，如美国国家安全局。计算社会科学可能成为私营公司和政府机构的专属领域。或者，可能会出现一批享有特权的学术研究人员，他们主持私人数据，根据这些数据撰写无法被批评或复制的论文。这两种情况都不符合积累、验证和传播知识的长期公共利益。在一个开放的学术环境中，基于计算社会科学的社会科学可以通过增强对个人和集体的理解来提供什么价值？有哪些
We live life in the network. We check our e-mails regularly, make mobile phone calls from almost any location, swipe transit cards to use public transportation, and make purchases with credit cards. Our movements in public places may be captured by video cameras, and our medical records stored as digital files. We may post blog entries accessible to anyone, or maintain friendships through online social networks. Each of these transactions leaves digital traces that can be compiled into comprehensive pictures of both individual and group behavior, with the potential to transform our understanding of our lives, organizations, and societies. The capacity to collect and analyze massive amounts of data has transformed such fields as biology and physics. But the emergence of a data-driven “computational social science” has been much slower. Leading journals in economics, sociology, and political science show little evidence of this field. But computational social science is occurring—in Internet companies such as Google and Yahoo, and in government agencies such as the US National Security Agency. Computational social science could become the exclusive domain of private companies and government agencies. Alternatively, there might emerge a privileged set of academic researchers presiding over private data from which they produce papers that cannot be critiqued or replicated. Neither scenario will serve the long-term public interest of accumulating, verifying, and disseminating knowledge. What value might a computational social science—based in an open academic environment—offer society, by enhancing understanding of individuals and collectives? What are the
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DOI：
10.1073/pnas.0610245104
发表时间：
2007-05-01
影响因子：
11.1
作者：
Onnela, J.-P.;Saramaki, J.;Barabasi, A.-L.
通讯作者：
Barabasi, A.-L.
DOI：
10.1073/pnas.0405728101
发表时间：
2004-10-05
影响因子：
11.1
作者：
Eckmann, JP;Moses, E;Sergi, D
通讯作者：
Sergi, D
影响因子：
5.6
作者：
Teevan, Jaime
通讯作者：
Teevan, Jaime
影响因子：
64.8
作者：
Gonzalez, Marta C.;Hidalgo, Cesar A.;Barabasi, Albert-Laszlo
通讯作者：
Barabasi, Albert-Laszlo
影响因子：
4.5
作者：
Homer N;Szelinger S;Redman M;Duggan D;Tembe W;Muehling J;Pearson JV;Stephan DA;Nelson SF;Craig DW
通讯作者：
Craig DW