The article explains why influence is essential for software testers aspiring to leadership, outlines key personal traits, presents common challenges, and provides a four‑step framework—including non‑violent communication techniques and practical case studies—to help testers effectively drive change and resolve conflicts.
Drawing from Wu Jun’s book “Geju,” this article models the achievement equation (Achievement = Success Rate × Influence × Speed), explains how to measure each factor, outlines strategies to improve them, and demonstrates their application in optimizing a software company’s project performance.
This article reviews the formation, strategies, and outcomes of a test‑team influence‑operations group, detailing its internal sharing events, data‑driven metrics, content review practices, promotional tactics, and lessons learned for improving team impact and productivity.
This article introduces a range of algorithms for Sina Weibo—including tag propagation, user similarity via LDA, time‑aware weighting, community detection, PageRank‑based influence ranking, and spam user identification—to illustrate how social network analysis can uncover user interests, influence, and malicious behavior.
