Exploring Landline Communication Dynamics in Albania: Insights from a Two Non-consecutive Month Comparative Study

This research analyzes landline telecommunication patterns by examining call records from a southern Albanian operator across two non-consecutive months. Through cross-sectional analysis, rigorous data filtration, and aggregation, it utilizes statistical techniques such as descriptive statistics, normality tests (Shapiro-Wilk, Anderson-Darling), and the Mann-Whitney U test, along with Pearson’s correlation and visual tools (scatter, time-series plots, heatmaps), to show daily and hourly call trends. The main conclusions present distinct call duration and start time patterns. There is considerable variability, and a significant positive linear relationship between day-to-day changes in daily call volume and daily call duration in both months. Periods of heightened activity were identified during the mornings, late afternoon hours, and weekends. These underscore the complex nature of telecommunications interactions. The research findings improve understanding and network optimization strategies and also highlight the necessity for dynamic, data-centric approaches. The adoption of advanced analytical methods, including artificial intelligence, is supported to augment operational efficiency, shaping the telecommunications sector’s advancement toward a more adaptive, knowledge-based future.