Forms of influence are widely applied in social networks in order to encourage users to take actions that are favourable to these technologies providers. In our prior work, we proposed a set of influence patterns that are applied in social networks (suggestion pattern, reminder pattern, reward pattern, interaction pattern and social influence pattern) which influence users progressively over time in order to shape their behaviours and to persuade them to stay as long as possible. Nevertheless, the guidance or recommendations for applying these patterns for developers have not yet been defined. This research will focus on the first suggestion pattern and describes an experiment designed to examine whether excessive/intense application of suggestions (which may adversely affect user time) is also more effective and more satisfying from a user perspective. We used two video sharing applications (YouTube and YouTube Focus); the first contains excessive/intense suggestions against the second that contains limited suggestions. Our finding shows that limited suggestions are more effective than excessive/intense suggestions and are as satisfactory as excessive/intense suggestions. We believe that these results will promote favourable outcomes when applying the suggestion pattern, (1) for users: by helping them understand the nature of influence techniques and to empower them to be proactive in creating an environment that is more favourable for them, and that helps them to achieve their goals without getting distracted; (2) for designers: by providing them with insights on the optimal and effective method of using patterns of influence notably, suggestion pattern.

影响力的形式广泛应用于社交网络中，以鼓励用户采取有利于这些技术提供商的行动。在我们之前的工作中，我们提出了一套在社交网络中应用的影响模式（建议模式，提醒模式，奖励模式，交互模式和社会影响模式），这些模式会随着时间的推移逐渐影响用户，以塑造他们的行为并说服他们他们要停留尽可能长的时间。但是，尚未定义将这些模式应用于开发人员的指南或建议。这项研究将集中于第一个建议模式，并描述了一个旨在检查从用户角度来看，过度/强烈应用建议（这可能会对用户时间产生不利影响）的实验是否也更有效，更令人满意。我们使用了两个视频共享应用程序（YouTube和YouTube Focus）；第一个包含过多/强烈的建议，而第二个包含有限的建议。我们的发现表明，有限的建议比过度/强烈的建议更有效，并且与过度/强烈的建议一样令人满意。我们认为，在应用建议模式时，这些结果将为用户带来有利的结果，（1）对于用户：通过帮助他们了解影响力技术的本质，并使他们能够积极主动地创造一种对他们更有利的环境，并帮助他们实现自己的目标而不会分心；（2）对于设计师：通过向他们提供有关使用影响模式的最佳和有效方法的见解，特别是建议模式。