Sri Lanka has experienced the most devastating economic crisis since its independence in 1948. The island nation of 22 million people has suffered by high inflation, fuel and food shortages, and a lack of foreign reserves. This economic stress led to multiple fronts such a political and social crises. Most families are being negatively impacted by this situation and are feeling anxious and stressed out. Citizens use social media platforms to express their views and give their feedback through media platforms by sharing information and ideas about this social issue. This paper discusses the social influence of Twitter hate users and identifies the most influential hate users by ranking them. The analysis reveals that Eigenvector Centrality can find influential users, resulting in a ranking close to PageRank with little alterations. With more mentions and retweets during the crisis, the influence of hate users has increased. Furthermore, the network diameter and average path length indicate lower values while higher values are indicated by the average degree, average weighted degree, connected components, edges, and average cluster coefficient. There are more interpersonal connections, relationships, or ties among hate users now than there were before the crisis. Furthermore, hate users express more negative sentiments than positive ones. The "anger" and "fear" emotions rank higher than "trust" and "joy". To the best of our knowledge, this work is the first study on the influence, sentiment, and emotion analysis conducted during the political and economic crisis of Sri Lanka in 2022 with the Twittersphere.