TY - GEN
T1 - Open RnSIR model for Information Spread in Social Networks
AU - Sumith, N.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Mathematical model have long been used to understand several real world processes. They provide sufficient clarification and understanding. One such mathematical model in context of viral spread was epidemic model. Since then, this model has been used in various context including the spread of viral diseases in the population, information diffusion in social networks and so on. Recently, to fill in the gap seen in SIR, a closed model, R-{n}SIR was developed. An extension to R-{n}SIR model, an open RnSIR model which includes the join and exit rates of users, is proposed in this paper. Through simulation on various social networks, the suitability of the model in mapping the information diffusion process in context of joining and exit rate of users is shown. This article discusses the dynamism of information spread and proposes a model can be used to understand spread of computer virus, the spread of epidemics.
AB - Mathematical model have long been used to understand several real world processes. They provide sufficient clarification and understanding. One such mathematical model in context of viral spread was epidemic model. Since then, this model has been used in various context including the spread of viral diseases in the population, information diffusion in social networks and so on. Recently, to fill in the gap seen in SIR, a closed model, R-{n}SIR was developed. An extension to R-{n}SIR model, an open RnSIR model which includes the join and exit rates of users, is proposed in this paper. Through simulation on various social networks, the suitability of the model in mapping the information diffusion process in context of joining and exit rate of users is shown. This article discusses the dynamism of information spread and proposes a model can be used to understand spread of computer virus, the spread of epidemics.
UR - http://www.scopus.com/inward/record.url?scp=85096610037&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096610037&partnerID=8YFLogxK
U2 - 10.1109/ICCCNT49239.2020.9225316
DO - 10.1109/ICCCNT49239.2020.9225316
M3 - Conference contribution
AN - SCOPUS:85096610037
T3 - 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020
BT - 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020
Y2 - 1 July 2020 through 3 July 2020
ER -