TY - GEN
T1 - Beyond Social Fragmentation
T2 - 6th International School and Conference on Network Science, NetSci-X 2020
AU - Sayama, Hiroki
AU - Yamanoi, Junichi
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 19H04220.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Social fragmentation caused by widening differences among constituents has recently become a highly relevant issue to our modern society. Theoretical models of social fragmentation using the adaptive network framework have been proposed and studied in earlier literature, which are known to either converge to a homogeneous, well-connected network or fragment into many disconnected subnetworks with distinct states. Here we introduced the diversities of behavioral attributes among social constituents and studied their effects on social network evolution. We investigated, using a networked agent-based simulation model, how the resulting network states and topologies would be affected when individual constituents’ cultural tolerance, cultural state change rate, and edge weight change rate were systematically diversified. The results showed that the diversity of cultural tolerance had the most direct effect to keep the cultural diversity within the society high and simultaneously reduce the average shortest path length of the social network, which was not previously reported in the earlier literature. Diversities of other behavioral attributes also had effects on final states of the social network, with some nonlinear interactions. Our results suggest that having a broad distribution of cultural tolerance levels within society can help promote the coexistence of cultural diversity and structural connectivity.
AB - Social fragmentation caused by widening differences among constituents has recently become a highly relevant issue to our modern society. Theoretical models of social fragmentation using the adaptive network framework have been proposed and studied in earlier literature, which are known to either converge to a homogeneous, well-connected network or fragment into many disconnected subnetworks with distinct states. Here we introduced the diversities of behavioral attributes among social constituents and studied their effects on social network evolution. We investigated, using a networked agent-based simulation model, how the resulting network states and topologies would be affected when individual constituents’ cultural tolerance, cultural state change rate, and edge weight change rate were systematically diversified. The results showed that the diversity of cultural tolerance had the most direct effect to keep the cultural diversity within the society high and simultaneously reduce the average shortest path length of the social network, which was not previously reported in the earlier literature. Diversities of other behavioral attributes also had effects on final states of the social network, with some nonlinear interactions. Our results suggest that having a broad distribution of cultural tolerance levels within society can help promote the coexistence of cultural diversity and structural connectivity.
KW - Adaptive social networks
KW - Constituent diversity
KW - Cultural diversity
KW - Social fragmentation
KW - Structural connectivity
UR - http://www.scopus.com/inward/record.url?scp=85079176293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079176293&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-38965-9_12
DO - 10.1007/978-3-030-38965-9_12
M3 - Conference contribution
AN - SCOPUS:85079176293
SN - 9783030389642
T3 - Springer Proceedings in Complexity
SP - 171
EP - 181
BT - Proceedings of NetSci-X 2020
A2 - Masuda, Naoki
A2 - Goh, Kwang-Il
A2 - Jia, Tao
A2 - Yamanoi, Junichi
A2 - Sayama, Hiroki
PB - Springer
Y2 - 20 January 2020 through 23 January 2020
ER -