Purpose

Social influence plays a crucial role in determining the size of information diffusion. Drawing on threshold models, we reformulate the nonlinear threshold hypothesis of social influence.

Design/methodology/approach

We test the threshold hypothesis of social influence with a large dataset of information diffusion on social media.

Findings

There exists a bell-shaped relationship between social influence and diffusion size. However, the large network threshold, limited diffusion depth and intense bursts become the bottlenecks that constrain the diffusion size.

Practical implications

The practice of viral marketing needs innovative strategies to increase information novelty and reduce the excessive network threshold.

Originality/value

In all, this research extends threshold models of social influence and underlines the nonlinear nature of social influence in information diffusion.

中文翻译：

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跨越信息传播的网络门槛：检验社会影响的门槛假设

目的

社会影响在决定信息传播的大小方面起着至关重要的作用。利用阈值模型，我们重新制定了社会影响的非线性阈值假设。

设计/方法/方法

我们用社交媒体上的大量信息传播数据集测试了社会影响的阈值假设。

发现

社会影响与扩散规模之间存在钟形关系。然而，大的网络阈值、有限的扩散深度和强烈的爆发成为限制扩散大小的瓶颈。

实际影响

病毒式营销的实践需要创新的策略来增加信息的新鲜度，降低过度的网络门槛。

原创性/价值

总之，这项研究扩展了社会影响的阈值模型，并强调了信息传播中社会影响的非线性性质。