Persistence of social signatures in human communication

By J. Saramaki, Elizabeth A. Leicht, Eduardo López, Susan C. Roberts, Felix Reed-Tsochas, Robin I. M. Dunbar. Proceedings of the National Academy of Sciences of the United States of America, 2012

370 citations recorded by the source corpus.

Significance We combine cell phone data with survey responses to show that a person’s social signature, as we call the pattern of their interactions with different friends and family members, is remarkably robust. People focus a high proportion of their communication efforts on a small number of individuals, and this behavior persists even when there are changes in the identity of the individuals involved. Although social signatures vary between individuals, a given individual appears to retain a specific social signature over time. Our results are likely to reflect limitations in the ability of humans to maintain many emotionally close relationships, both because of limited time and because the emotional “capital” that individuals can allocate between family members and friends is finite. The social network maintained by a focal individual, or ego, is intrinsically dynamic and typically exhibits some turnover in membership over time as personal circumstances change. However, the consequences of such changes on the distribution of an ego’s network ties are not well understood. Here we use a unique 18-mo dataset that combines mobile phone calls and survey data to track changes in the ego networks and communication patterns of students making the transition from school to university or work. Our analysis reveals that individuals display a distinctive and robust social signature, captured by how interactions are distributed across different alters. Notably, for a given ego, these social signatures tend to persist over time, despite considerable turnover in the identity of alters in the ego network. Thus, as new network members are added, some old network members either are replaced or receive fewer calls, preserving the overall distribution of calls across network members. This is likely to reflect the consequences of finite resources such as the time available for communication, the cognitive and emotional effort required to sustain close relationships, and the ability to make emotional investments.

Subfields: Statistical and Nonlinear Physics, Transportation

View Paper: https://www.semanticscholar.org/paper/eac4b5d909448d03dc4634b6619880d3a8d34ea5

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Citations in the corpus

Do online social media cut through the constraints that limit the size of offline social networks? (2016, background): “Data from both face-to-face contacts [25,35] as well as mobile phone databases [34,77] suggest that there are natural limits to both the amount of time we can devote to social interactions with network members and how we distribute this time among them.”
The Neurobiology of Social Distance (2020, neutral): “are competing friendship interests [66].”
The scaling of human interactions with city size (2012, background): “We focus on Portugal as, in comparison to landlines, mobile phone communication provides a more direct proxy for person-to-person interactions [25, 29, 30] and is generally known to correlate well with other means of communication [21] and face-to-face meetings [31].”
How many hours does it take to make a friend? (2019, background): “Four months after meeting potential friends, few new friendships develop (Saramaki et al., 2014) either because individuals have elected not to pursue a closer relationship (Bahns et al., 2017) or do not have sufficient time to dedicate to new friends (van Duijn et al., 2003).”
Returners and explorers dichotomy in human mobility (2015, background): “Recent advances in characterizing the signature 41 or strategies 42 of social interactions and the possibility to exploit the information on an individual’s social ties to predict her future locations 43,44 demonstrate a strong connection between social interactions and human mobility patterns.”