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Socio-diversity, the variety of human opinions, ideas, behaviors and styles, has profound implications for social systems. While it fuels innovation, productivity, and collective intelligence, it can also complicate communication and erode…

物理与社会 · 物理学 2024-02-19 Andrea Musso , Dirk Helbing

The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the…

社会与信息网络 · 计算机科学 2016-10-24 Daniel Barkoczi , Mirta Galesic

Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working in networked social environments. However, little is known about how network structure and the functional…

Many models of learning in teams assume that team members can share solutions or learn concurrently. However, these assumptions break down in multidisciplinary teams where team members often complete distinct, interrelated pieces of larger…

物理与社会 · 物理学 2023-08-16 John Meluso , Laurent Hébert-Dufresne

We revisit DeGroot learning to examine the robustness of social learning in dynamic networks -- networks that evolve randomly over time. Dynamics have double-edged effects depending on social structure: while they can foster consensus and…

理论经济学 · 经济学 2025-06-04 Florian Mudekereza

Innovation is fundamental for development and provides a competitive advantage for societies. It is the process of creating more complex technologies, ideas, or protocols from existing ones. While innovation may be created by single agents…

物理与社会 · 物理学 2024-09-16 Fatemeh Zarei , Jan Ryckebusch , Koen Schoors , Luis E C Rocha

In decentralised autonomous systems it is the interactions between individual agents which govern the collective behaviours of the system. These local-level interactions are themselves often governed by an underlying network structure.…

多智能体系统 · 计算机科学 2023-06-07 Michael Crosscombe , Jonathan Lawry

Prior work has provided strong evidence that, within organizational settings, teams that bring a diversity of information and perspectives to a task are more effective than teams that do not. If this form of informational diversity confers…

计算机科学与博弈论 · 计算机科学 2023-01-31 Hoda Heidari , Solon Barocas , Jon Kleinberg , Karen Levy

Collective behavior in online social media and networks is known to be capable of generating non-intuitive dynamics associated with crowd wisdom and herd behaviour. Even though these topics have been well-studied in social science, the…

信号处理 · 电气工程与系统科学 2018-05-16 Fernando Rosas , Kwang-Cheng Chen , Deniz Gunduz

Collaboration networks provide a method for examining the highly heterogeneous structure of collaborative communities. However, we still have limited theoretical understanding of how individual heterogeneity relates to network…

物理与社会 · 物理学 2016-07-27 Katharine A. Anderson

Many of the world's most pressing issues, such as climate change and global peace, require complex collective problem-solving skills. Recent studies indicate that diversity in individuals' behaviors is key to developing such skills and…

人工智能 · 计算机科学 2025-01-30 Matteo Bettini , Ryan Kortvelesy , Amanda Prorok

Adaptation to dynamic conditions requires a certain degree of diversity. If all agents take the best current action, learning that the underlying state has changed and behavior should adapt will be slower. Diversity is harder to maintain…

社会与信息网络 · 计算机科学 2023-05-02 Daron Acemoglu , Asuman Ozdaglar , Sarath Pattathil

The dynamics of herd immunity depend crucially on the interaction between collective social behavior and disease transmission, but the role of heterogeneity in this context frequently remains unclear. Here, we dissect this co-evolutionary…

物理与社会 · 物理学 2026-02-05 Mehran Noori , Nahid Azimi-Tafreshi , Mohammad Salahshour

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective…

多智能体系统 · 计算机科学 2019-02-20 Shelley D. Dionne , Hiroki Sayama , Francis J. Yammarino

Recent studies show that task distribution plays a vital role in the meta-learner's performance. Conventional wisdom is that task diversity should improve the performance of meta-learning. In this work, we find evidence to the contrary; (i)…

机器学习 · 计算机科学 2022-11-28 Ramnath Kumar , Tristan Deleu , Yoshua Bengio

Using data from a large laboratory experiment on problem solving in which we varied the structure of 16-person networks we investigate how an organization's network structure may be constructed to optimize performance in complex…

社会与信息网络 · 计算机科学 2014-07-01 Jesse Shore , Ethan Bernstein , David Lazer

There is growing recognition that the network structures arising from interactions between different entities in physical, social and biological systems fundamentally alter the evolutionary outcomes. Previous paradigm exploring evolutionary…

物理与社会 · 物理学 2023-08-08 Yao Meng , Sean P. Cornelius , Yang-Yu Liu , Aming Li

Recent works examine the relationship between the communication structure and the performance of a group in a problem solving task. Some conclude that inefficient communication networks with long paths outperform efficient networks on the…

社会与信息网络 · 计算机科学 2014-03-26 Sebastian Herrmann , Jörn Grahl , Franz Rothlauf

Social networks continuously change as new ties are created and existing ones fade. It is widely noted that our social embedding exerts a strong influence on what information we receive and how we form beliefs and make decisions. However,…

社会与信息网络 · 计算机科学 2020-06-02 Abdullah Almaatouq , Alejandro Noriega-Campero , Abdulrahman Alotaibi , P. M. Krafft , Mehdi Moussaid , Alex Pentland

Information sharing between individuals is crucial to improve performance in collective tasks. However, in a competitive world, individuals may be reluctant to share information with the others, and it is still unclear how the presence of…

物理与社会 · 物理学 2026-05-04 Ye Wang , Andrea Civilini , Anzhi Sheng , Xiaojie Chen , Long Wang , Vito Latora
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