Multichannel social signatures and persistent features of ego networks
S. Heydari, S.G.B. Roberts, R.I.M. Dunbar, J. Saram\"aki

TL;DR
This study investigates the stability and characteristics of social signatures across call and text communication channels, revealing persistent individual differences despite channel-specific alter choices.
Contribution
It introduces a method to compare and combine social signatures from multiple communication channels, showing their stability and similarity across channels and over time.
Findings
Social signatures are stable over time despite network turnover.
Call and text signatures are similar at the population and individual levels.
Individuals vary in communication effort distribution across their networks.
Abstract
The structure of egocentric networks reflects the way people balance their need for strong, emotionally intense relationships and a diversity of weaker ties. Egocentric network structure can be quantified with 'social signatures', which describe how people distribute their communication effort across the members (alters) of their personal networks. Social signatures based on call data have indicated that people mostly communicate with a few close alters; they also have persistent, distinct signatures. To examine if these results hold for other channels of communication, here we compare social signatures built from call and text message data, and develop a way of constructing mixed social signatures using both channels. We observe that all types of signatures display persistent individual differences that remain stable despite the turnover in individual alters. We also show that call,…
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