Disentangling degree and tie strength heterogeneity in egocentric social networks
Abstract The structure of personal networks reflects how we organise and maintain social relationships. The distribution of tie strengths in personal networks is heterogeneous, with a few close, emotionally intense relationships and a larger number of weaker ties. Recent results indicate this featur...
Saved in:
| Main Authors: | Sara Heydari, Gerardo Iñiguez, János Kertész, Jari Saramäki |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-12-01
|
| Series: | EPJ Data Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1140/epjds/s13688-024-00513-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TSL:predicting popularity of Facebook content based on tie strength
by: Xiaomeng WANG, et al.
Published: (2019-10-01) -
Exploring support provision for recovery from substance use disorder among members of a sober active community
by: Megan S. Patterson, et al.
Published: (2025-03-01) -
Inequality and Social Ties: Evidence from 15 U.S. Data Sets
by: Cristobal Young, et al.
Published: (2025-05-01) -
Mapping Social Capital in Vocational Education and Training: A Multi-Perspective Egocentric Social Network Analysis in a European Innovation Project
by: Lisa Meyne, et al.
Published: (2025-07-01) -
On the Strength of Weak Ties: Barriers to Political Expression Online
by: Limor Ziv, et al.
Published: (2025-06-01)