How New Ideas Diffuse in Science

膨胀的 社会学 光学(聚焦) 现存分类群 透视图(图形) 认识论 工作(物理) 意外事故 计算机科学 生物 光学 物理 工程类 哲学 机械工程 人工智能 复合材料 进化生物学 材料科学 抗压强度
作者
Mengjie Cheng,Daniel Scott Smith,Xiang Ren,Hancheng Cao,Sanne Smith,Daniel A. McFarland
出处
期刊:American Sociological Review [SAGE Publishing]
卷期号:88 (3): 522-561 被引量:23
标识
DOI:10.1177/00031224231166955
摘要

What conditions enable novel intellectual contributions to diffuse and become integrated into later scientific work? Prior work tends to focus on whole cultural products, such as patents and articles, and emphasizes external social factors as important. This article focuses on concepts as reflections of ideas, and we identify the combined influence that social factors and internal intellectual structures have on ideational diffusion. To develop this perspective, we use computational techniques to identify nearly 60,000 new ideas introduced over two decades (1993 to 2016) in the Web of Science and follow their diffusion across 38 million later publications. We find new ideas diffuse more widely when they socially and intellectually resonate. New ideas become core concepts of science when they reach expansive networks of unrelated authors, achieve consistent intellectual usage, are associated with other prominent ideas, and fit with extant research traditions. These ecological conditions play an increasingly decisive role later in an idea’s career, after their relations with the environment are established. This work advances the systematic study of scientific ideas by moving beyond products to focus on the content of ideas themselves and applies a relational perspective that takes seriously the contingency of their success.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Michelle发布了新的文献求助10
刚刚
刚刚
刚刚
希望天下0贩的0应助Tina采纳,获得30
1秒前
jerseyxin发布了新的文献求助10
1秒前
尘苏发布了新的文献求助10
2秒前
晕晕完成签到,获得积分10
3秒前
胺碘酮发布了新的文献求助10
3秒前
打打应助ss2255采纳,获得10
3秒前
英俊的誉发布了新的文献求助10
4秒前
华仔应助生物摸鱼大师采纳,获得10
4秒前
rodent发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
7秒前
完美世界应助axiba采纳,获得10
7秒前
SciGPT应助wcli采纳,获得10
8秒前
lsrlsr完成签到,获得积分10
8秒前
深情的黎云完成签到 ,获得积分10
8秒前
fbzb完成签到,获得积分10
8秒前
9秒前
9秒前
y943发布了新的文献求助10
9秒前
12306发布了新的文献求助10
10秒前
荼蘼完成签到,获得积分10
10秒前
yy完成签到,获得积分10
11秒前
流年亦梦发布了新的文献求助10
12秒前
小透明发布了新的文献求助10
13秒前
小二郎应助哈哈侠采纳,获得10
13秒前
13秒前
15秒前
科研通AI6.3应助jerseyxin采纳,获得10
15秒前
16秒前
sharkmelon应助mf采纳,获得10
16秒前
NexusExplorer应助无机盐采纳,获得10
17秒前
ding应助yu采纳,获得10
17秒前
chenchen完成签到,获得积分10
18秒前
秋是第二个春完成签到,获得积分10
19秒前
wanci应助jesmina采纳,获得10
20秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492120
求助须知:如何正确求助?哪些是违规求助? 8289867
关于积分的说明 17689242
捐赠科研通 5583803
什么是DOI,文献DOI怎么找? 2915205
邀请新用户注册赠送积分活动 1892371
关于科研通互助平台的介绍 1750330