/Lőrincz László – Lengyel Balázs – Hannák Anikó – Guilherme Kenjy Chihaya – Rikard Eriksson/
Social connections that reach distant places are thought to help individuals, firms and communities grow by providing access to opportunities and diverse knowledge. In the case of companies, however, firm performance depends extensively on the combination of similar or different skills in coworker collaboration. In this paper we analyze how the skill composition of workers differs between globally connected employees and the rest of the employees in the company. We map the information, socialization and cooperation networks of employees in 16 IT companies of Umea, Sweden using a survey representing 10% of the local industry. Permitted by all individuals, we collect public information from their LinkedIn profiles as well. These data allow us to quantify global connections of employees and to measure the degree of their skill-relatedness to coworkers. We find that the workers with extensive local networks typically have related skills to others in the region and to their coworkers; while workers with many distant ties typically combine less related skills in local coworker collaboration. We also find that similarity of skills influences, how advice-seeking networks are formed within the firms. These results provide new insights to the composition of skills within knowledge intensive firms by connecting the geography of networks and the similarity versus diversity of skills.