TY - GEN
T1 - An information-theoretic approach to study activity driven networks
AU - Bongiorno, Christian
AU - Rizzo, Alessandro
AU - Porfiri, Maurizio
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - In this work, we leverage the information-theoretic notion of transfer entropy theory to study causal information flow in epidemic spreading over temporal networks. An improved understanding of causal information flow may lead to the early detection of population segments that should be monitored or immunized to enhance epidemic containment. We focus on activity driven networks, which constitute a powerful and elegant paradigm to capture the inherent time-varying nature of contacts and population heterogeneity. Our preliminary results confirm the intuition that individuals who have a higher propensity in contacting others are responsible for the largest information transfer. Moreover, we find that epidemic parameters such as the probability of infection and recovery may dominate the spreading phenomenon over heterogeneities in the contact formation.
AB - In this work, we leverage the information-theoretic notion of transfer entropy theory to study causal information flow in epidemic spreading over temporal networks. An improved understanding of causal information flow may lead to the early detection of population segments that should be monitored or immunized to enhance epidemic containment. We focus on activity driven networks, which constitute a powerful and elegant paradigm to capture the inherent time-varying nature of contacts and population heterogeneity. Our preliminary results confirm the intuition that individuals who have a higher propensity in contacting others are responsible for the largest information transfer. Moreover, we find that epidemic parameters such as the probability of infection and recovery may dominate the spreading phenomenon over heterogeneities in the contact formation.
UR - http://www.scopus.com/inward/record.url?scp=85057119711&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057119711&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2018.8351825
DO - 10.1109/ISCAS.2018.8351825
M3 - Conference contribution
AN - SCOPUS:85057119711
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Y2 - 27 May 2018 through 30 May 2018
ER -