How networks shape diversity for better or worse

被引:1
|
作者
Musso, Andrea [1 ,2 ]
Helbing, Dirk [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Computat Social Sci, Ramistr 81, CH-8092 Zurich, Switzerland
[2] Complex Sci Hub, Josefstadter Str 39, A-1080 Vienna, Austria
来源
ROYAL SOCIETY OPEN SCIENCE | 2024年 / 11卷 / 05期
基金
欧盟地平线“2020”;
关键词
networks; diversity; cultural evolution; opinion dynamics; graph theory; COLLECTIVE DYNAMICS; SOCIAL NETWORK; PERFORMANCE; EVOLUTION; SCIENCE; COOPERATION; EMERGENCE; SPREAD;
D O I
10.1098/rsos.230505
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Socio-diversity, the variety of human opinions, ideas, behaviours and styles, has profound implications for social systems. While it fuels innovation, productivity and collective intelligence, it can also complicate communication and erode trust. So what mechanisms can influence it? This paper studies how fundamental characteristics of social networks can support or hinder socio-diversity. It employs models of cultural evolution, mathematical analysis and numerical simulations. We find that pronounced inequalities in the distribution of connections obstruct socio-diversity. By contrast, the prevalence of close-knit communities, a scarcity of long-range connections, and a significant tie density tend to promote it. These results open new perspectives for understanding how to change social networks to sustain more socio-diversity and, thereby, societal innovation, collective intelligence and productivity.
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页数:15
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