Dresden 2020 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 14: Social Systems, Opinion and Group Formation

SOE 14.4: Talk

Thursday, March 19, 2020, 12:15–12:30, GÖR 226

Social features in ICT data — •Gábor Tamás¹, Yohsuke Murase², Hang-Hyun Jo^3,4,5, János Kertész^5,6, Kimmo Kaski⁵, and János Török^1,7 — ¹Dept. of Theoretical Physics, BME, Budapest H-1111, Hungary — ²R-CCS, Kobe, Hyogo 650-0047, Japan — ³APCTP, Pohang 37673, Republic of Korea — ⁴Dept. of Physics, POSTECH, Pohang 37673, Republic of Korea — ⁵Dept. of Computer Science, Aalto University, Espoo FI-00076, Finland — ⁶DNDS, CEU, Budapest H-1051, Hungary — ⁷MTA-BME Morphodynamics Research Group, Budapest H-1111, Hungary

In human societies homophily, the tendency of similar individuals getting associated and bonded with each other is known to be a prime tie formation factor between a pair of individuals. This is manifested in the egocentric networks of humans, which are characterized by different communities related to our activities. The social features of the acquaintances in these groups are similar to some extent.

To quantify the above effect, we have measured the average group overlap with the ego on two different social network sites (iWiW and Pokec). We found that the feature overlap counterintuitively increases with the egocentric group size.

We use a model [1] that describes social tie formation based on focal and cyclic closure, and we show that the above effect is related to the social effort needed to keep up a big community.

[1] Murase, Y., Jo, H. H., Török, J., Kertész, J., & Kaski, K. (2019). Structural transition in social networks: The role of homophily. Scientific reports, 9(1), 4310.