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Using longitudinal data from UCNets, we examined newly-listed alters and distinguished between truly new ties who were recently met (typically coworkers and acquaintances) and awakened ties who were previously known to ego (typically extended kin and friends). Half of the newly-listed ties among the younger respondents were truly new, whereas two-thirds among the older respondents were awakened. In both groups, however, most alters were previously listed. These ties mainly included kin, confidants, and advisors, suggesting stability in the network core. Methodological implications for the name-generating process and substantive implications for the understanding of network dynamics and structure are discussed. • This study examines which alters were mentioned for the first time in the later wave of UCNets. • Only one-third of all alters were newly-listed, suggesting stability in the network core. • Most newly-listed ties in the young cohort were truly new ties and in the old cohort were awakened ties. • Alters who were not new mainly included kin, confidants, and advisors. • Multilevel models estimate the alter and ego attributes associated with a tie being truly new or awakened. [ABSTRACT FROM AUTHOR]

Complementing and extending prior studies on the value of existing work relationships, this study examines whether we can predict the value of brand-new ties before people ever meet. We examine this question by developing three sets of hypotheses reflecting the three main perspectives in the social networks literature: the resource (actor), dyadic (tie), and structural (network) perspective. To test our hypotheses, we asked executives to reach out for advice from someone they had never met and to complete a survey of their various thoughts about the other person both before and after making a connection. We find support for all three perspectives after a connection has been made; however, before tie formation, we find evidence only for the structural perspective. Our results suggest that the lack of reliable information about strangers obscures which brand-new ties will turn out to be more valuable but that surrounding network structures remain a reliable predictor of value, even for brand-new ties. [ABSTRACT FROM AUTHOR]