在自我中心的沟通网络中普遍存在的模式
Gerardo Iñiguez1,2,3,4, Sara Heydari5, János Kertész6,7
1Department of Network and Data Science, Central European University, 1100, Vienna, Austria. iniguezg@ceu.edu.
Nature communications
|August 26, 2023
概括
社交网络纽带的优势显示了跨通讯模式的普遍模式. 一个模型显示,累积优势和随机选择之间的竞争推动了社会联系中的这种多样性.
科学领域:
- 社交网络分析 社交网络分析
- 计算社会科学 计算社会科学
- 网络科学 网络科学
背景情况:
- 社交网络具有异质的纽带优势,强弱的纽带发挥着不同的作用.
- 自我中心的网络通常显示较少的强联系和较弱的联系,可在通信数据中观察到.
- 在沟通道之间,社会联系模式的个体差异仍然存在.
研究的目的:
- 调查社会纽带强度异质性的普遍性和潜在机制.
- 分析各种数据集和通信模式的自我中心网络纽带优势.
- 为了建模自我中心网络的演变,并解释观察到的纽带强度分布.
主要方法:
- 对大规模的自我中心网络数据集的分析,这些数据集在长时间内覆盖了数百万个人.
- 检查各种通信道的交互模式,包括那些不直接反映离线关系的道.
- 开发和应用一个模拟自我中心网络演变的计算模型.
主要成果:
- 在社会纽带强度分布和不同通信模式的个体变异中观察到普遍性.
- 这些普遍模式甚至在离线社会结构脱离的数字通信道中也被发现.
- 一个计算模型表明,累积优势和随机选择之间的平衡解释了纽带强度异质性.
结论:
- 这项研究揭示了控制自我中心网络中社会纽带强度异质性的普遍原则.
- 累积优势和随机选择之间的相互作用被确定为驱动联系多样性的关键机制.
- 调查结果提供了对社交网络结构,个体行为以及社会联系的动态的见解.
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