Multichannel social signatures and persistent features of ego networks

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Multichannel social signatures and persistent features of ego networks. / Heydari, Sara; Roberts, Sam G.; Dunbar, Robin I. M.; Saramäki, Jari.

In: Applied network science, Vol. 3, 3:8, 12.2018.

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@article{8452e2dbf8a84a9898611f3048758092,
title = "Multichannel social signatures and persistent features of ego 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, text, and mixed signatures resemble one another both at the population level and at the level of individuals. The consistency of social signatures across individuals for different channels of communication is surprising because the choice of channel appears to be alter-specific with no clear overall pattern, and ego networks constructed from calls and texts overlap only partially in terms of alters. These results demonstrate individuals vary in how they allocate their communication effort across their personal networks and this variation is persistent over time and across different channels of communication.",
keywords = "social signatures, social networks, egocentric networks, mobile phones",
author = "Sara Heydari and Roberts, {Sam G.} and Dunbar, {Robin I. M.} and Jari Saram{\"a}ki",
year = "2018",
month = "12",
doi = "10.1007/s41109-018-0065-4",
language = "English",
volume = "3",
journal = "Applied network science",
issn = "2364-8228",

}

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TY - JOUR

T1 - Multichannel social signatures and persistent features of ego networks

AU - Heydari, Sara

AU - Roberts, Sam G.

AU - Dunbar, Robin I. M.

AU - Saramäki, Jari

PY - 2018/12

Y1 - 2018/12

N2 - 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, text, and mixed signatures resemble one another both at the population level and at the level of individuals. The consistency of social signatures across individuals for different channels of communication is surprising because the choice of channel appears to be alter-specific with no clear overall pattern, and ego networks constructed from calls and texts overlap only partially in terms of alters. These results demonstrate individuals vary in how they allocate their communication effort across their personal networks and this variation is persistent over time and across different channels of communication.

AB - 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, text, and mixed signatures resemble one another both at the population level and at the level of individuals. The consistency of social signatures across individuals for different channels of communication is surprising because the choice of channel appears to be alter-specific with no clear overall pattern, and ego networks constructed from calls and texts overlap only partially in terms of alters. These results demonstrate individuals vary in how they allocate their communication effort across their personal networks and this variation is persistent over time and across different channels of communication.

KW - social signatures

KW - social networks

KW - egocentric networks

KW - mobile phones

U2 - 10.1007/s41109-018-0065-4

DO - 10.1007/s41109-018-0065-4

M3 - Article

VL - 3

JO - Applied network science

JF - Applied network science

SN - 2364-8228

M1 - 3:8

ER -

ID: 29817265