TY - GEN
T1 - Physical activity contagion and homophily in an adaptive social network model
AU - van Dijk, Marit
AU - Treur, Jan
PY - 2018
Y1 - 2018
N2 - Regular physical activity contributes to higher levels of well-being, healthy aging and prevention of several chronic diseases such as depression. To establish or change behaviours concerning physical activity, social contagion may play a role. The aim of this study was to model the contagion of physical activity based on empirical Twitter data and to assess the role of homophily within this contagion. To model the contagion of physical activity, an adaptive temporal-causal network model was designed, and accordingly, the parameters of the model were tuned using empirical data obtained from Twitter. Two variants of the adaptive temporal-causal network model were created, in which one calculated the weights of the connections between the nodes based on follow relations on Twitter, while in the other the connection weights were modulated by the homophily principle. The results indicate that within the considered social network of already active persons homophily does not play an important role in the physical activity behaviour.
AB - Regular physical activity contributes to higher levels of well-being, healthy aging and prevention of several chronic diseases such as depression. To establish or change behaviours concerning physical activity, social contagion may play a role. The aim of this study was to model the contagion of physical activity based on empirical Twitter data and to assess the role of homophily within this contagion. To model the contagion of physical activity, an adaptive temporal-causal network model was designed, and accordingly, the parameters of the model were tuned using empirical data obtained from Twitter. Two variants of the adaptive temporal-causal network model were created, in which one calculated the weights of the connections between the nodes based on follow relations on Twitter, while in the other the connection weights were modulated by the homophily principle. The results indicate that within the considered social network of already active persons homophily does not play an important role in the physical activity behaviour.
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U2 - 10.1007/978-3-319-98443-8_9
DO - 10.1007/978-3-319-98443-8_9
M3 - Conference contribution
AN - SCOPUS:85053181596
SN - 9783319984421
VL - 1
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 87
EP - 98
BT - Computational Collective Intelligence
A2 - Nguyen, Ngoc Thanh
A2 - Pimenidis, Elias
A2 - Khan, Zaheer
A2 - Trawinski, Bogdan
PB - Springer/Verlag
T2 - 10th International Conference on Computational Collective Intelligence, ICCCI 2018
Y2 - 5 September 2018 through 7 September 2018
ER -