This paper presents a new decision support system offered for an in-depth
analysis of semantic networks, which can provide insights for a better
exploration of a brand's image and the improvement of its connectivity. In
terms of network analysis, we show that this goal is achieved by solving an
extended version of the Maximum Betweenness Improvement problem, which includes
the possibility of considering adversarial nodes, constrained budgets, and
weighted networks - where connectivity improvement can be obtained by adding
links or increasing the weight of existing connections. We present this new
system together with two case studies, also discussing its performance. Our
tool and approach are useful both for network scholars and for supporting the
strategic decision-making processes of marketing and communication managers.

该研究论文介绍了一种新的决策支持系统，用于对语义网络进行深入分析，从而为品牌形象的探索和连接性的提高提供洞察力。论文展示了通过解决最大介数改进问题的扩展版本来实现该目标，该问题包括考虑对抗节点、有限预算和加权网络的可能性，其中通过添加连接或增加现有连接的权重来改善连接性。同时，该论文还展示了两个案例研究，并讨论了该系统的性能。该工具和方法对网络学者以及支持市场营销和传播经理的战略决策过程都非常有用。