The increasing use of social media has significantly impacted wireless network performance, particularly in data transmission efficiency. This study aims to analyze the impact of social media usage on network congestion and wireless data transmission efficiency. Experimental and quantitative methods were employed, utilizing direct network traffic measurement and simulation techniques. The study assessed key parameters, including throughput, latency, packet loss, and jitter, to evaluate network congestion levels caused by social media activities such as video streaming, image uploads, and real-time communication. The results indicate a 15–30% decrease in throughput, an increase in latency from 30 ms to 120 ms, a packet loss surge from 0.5% to 4–7%, and a jitter increase from 10 ms to 50 ms during peak hours of social media usage. The study also found that channel bonding techniques can improve throughput by up to 63.6% under controlled interference conditions. These findings highlight the necessity of effective traffic management strategies, including 5G network deployment, machine learning-based traffic optimization, and Quality of Service (QoS) implementation, to mitigate network congestion issues caused by the exponential growth of social media users.

<p>Good local government performance, especially related to the realization of good corporate governance, can be created if there is good communication between agencies, employees and compact collaboration to synergize policies that facilitate public services. To optimize government performance, one of which is the Boyolali District Archives and Library Service through collaborative relationships between employees so as to create intense two-way communication. This study aims to identify social networks related to collaboration between employees using the Social Network Analysis method and a total of 40 people as respondents, but only 32 people filled out the questionnaire data completely. The indicators used in viewing the research results are density values, degree centrality values, closeness centrality values, betweenness centrality values, and clique values. The results of the analysis obtained a network density level of 14.8% (considered weak because it is less than 50 percent). Employee number 21 has the highest degree centrality value and betweenness centrality value, then employee number 9 has the highest closeness centrality. This research concludes that there is a good collaborative relationship between the four departments in the Archives and Library Office of Boyolali Regency, namely the Operations department, the Service department, the Archives department, and the Librarian department.  </p>