Individuals benefit from occupying central roles in social networks, but little is known about the psychological traits that predict centrality. Across four college freshman dorms (n = 193), we characterized individuals with a battery of personality questionnaires and also asked them to nominate dorm members with whom they had different types of relationships. This revealed several social networks within dorm communities with differing characteristics. In particular, additional data showed that networks varied in the degree to which nominations depend on (i) trust and (ii) shared fun and excitement. Networks more dependent upon trust were further defined by fewer connections than those more dependent on fun. Crucially, network and personality features interacted to predict individuals' centrality: people high in well-being (i.e., life satisfaction and positive emotion) were central to networks characterized by fun, whereas people high in empathy were central to networks characterized by trust. Together, these findings provide network-based corroboration of psychological evidence that well-being is socially attractive, whereas empathy supports close relationships. More broadly, these data highlight how an individual's personality relates to the roles that they play in sustaining their community.social networks | empathy | well-being | centrality | personality I n a community, certain individuals take central roles and are sought out by others for advice, support, fun, and companionship. Central individuals substantially impact the health and well-being of their community (1-4), for example, by reducing stress and generating opportunities for other community members (5). Who comes to occupy these central network positions? Recent research suggests that individuals' personalities influence their ability to attract social ties (6-11),* but this personality-centrality relationship may vary depending on the type of connection that one uses to define a network. For example, extraverts become more central than introverts in networks defined by friendship (6).Past work generally focuses on the relationship between a single personality trait (e.g., extraversion) and centrality in a single network (e.g., friendship networks). However, communities contain multiple networks that are defined by different types of relationships. Individuals might ask for advice from one subset of their community, look for companionship with another subset, and seek emotional support from a third subset (12)(13)(14)(15). This means that an individual could occupy a central role in one type of network, but hold a more peripheral position in a different type of network (2). We study this by first mapping several networks within a community and then by assessing a person's position in a network with respect to a broad array of personality traits. This allows us to identify the features of an individual that predict their centrality in various types of networks.Previous psychological research suggests that an individual's personality might relate t...