Nowadays, human decision-making power and attitude revolutionize over time and change their viewpoint towards substantial convinced values because of the influence of social media. Social network plays a crucial role in human life with the progression of technology. In the online social network, the responsibility of opinion leaders is also vital in information diffusion and promotion purposes. In this manuscript, we proposed a different Game theory-based Opinion Leader Detection (GOLD) algorithm to identify the group of users having the maximum synergy declared as the coalition of opinion leaders. For implementing purpose, we used the game theory approach in which all the users behave like a player, and a trustor–trustee tree formed comprised coalitions based on trust and conditional probability. We proposed an inventive and distinctive solution to measures the individual payoff using the distance-based centrality parameter. We also computed the Shapley value for each user to identify the maximum marginal contribution and determined the maximum synergy of each coalition. The main advantage of the proposed approach is to strengthen the power of the coalition and produced the synergetic outcome. The proposed approach delivered around 90% accuracy and decreased 37% execution time. Therefore, it provides superior results regarding the accuracy, precision, time complexity, rate of convergence, and computational time with other SNA (Social Network Analysis) measures.

如今，由于社交媒体的影响，人类的决策权和态度随着时间的推移发生了革命，并改变了他们对实质性确信价值的看法。随着技术的进步，社交网络在人类生活中起着至关重要的作用。在在线社交网络中，意见领袖的责任在信息传播和推广中也至关重要。在该手稿，我们提出了一种不同的G ^为基础的理论火焰ö小齿轮大号EADER d etection（GOLD）算法来识别具有最大协同作用的用户组，这些用户组被宣布为意见领袖。为了实现目标，我们使用了博弈论方法，在该方法中，所有用户的行为都像玩家一样，并且形成了一个基于信任和条件概率的联盟的信任者-受托人树。我们提出了一种创新而独特的解决方案，以使用基于距离的中心性参数来测量个人收益。我们还计算了每个用户的Shapley值，以确定最大的边际贡献并确定了每个联盟的最大协同作用。提议的方法的主要优点是加强了联盟的力量并产生了协同效应。所提出的方法提供了大约90％的准确性，并减少了37％的执行时间。因此，