TY - GEN
T1 - Modeling innovation diffusion for renewable energy technologies in city neighborhoods
AU - Abbar, Sofiane
AU - Boumaiza, Ameni
AU - Mohandes, Nassma
AU - Sanfilippo, Antonio
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/21
Y1 - 2018/5/21
N2 - We present a model of innovation diffusion for Renewable Energy Technologies (RET) in Qatar city neighborhoods based on the spread of information in social and city-neighborhood networks. First, we evaluate the ability of the Barabási Albert [13] model in diverse configurations to match the characteristics of a reference RET innovation diffusion network extracted from Twitter. Next, we create a network of city buildings in neighborhoods that include geo-located users in the Twitter network using constraints derived from Qatar's census geography. Finally, the information diffusion patterns in the household and Twitter networks are combined to model the rate of diffusion of renewable energy innovation, using an adapted linear threshold approach to information spread. The resulting approach provides a methodology for capturing how RET innovation diffusion from online social networks and city neighborhood networks may jointly influence the residential adoption of renewable energy technologies.
AB - We present a model of innovation diffusion for Renewable Energy Technologies (RET) in Qatar city neighborhoods based on the spread of information in social and city-neighborhood networks. First, we evaluate the ability of the Barabási Albert [13] model in diverse configurations to match the characteristics of a reference RET innovation diffusion network extracted from Twitter. Next, we create a network of city buildings in neighborhoods that include geo-located users in the Twitter network using constraints derived from Qatar's census geography. Finally, the information diffusion patterns in the household and Twitter networks are combined to model the rate of diffusion of renewable energy innovation, using an adapted linear threshold approach to information spread. The resulting approach provides a methodology for capturing how RET innovation diffusion from online social networks and city neighborhood networks may jointly influence the residential adoption of renewable energy technologies.
KW - Diffusion of innovation
KW - Renewable energy adoption
KW - Renewable energy technologies
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85048490633&partnerID=8YFLogxK
U2 - 10.1109/IREC.2018.8362523
DO - 10.1109/IREC.2018.8362523
M3 - Conference contribution
AN - SCOPUS:85048490633
T3 - 2018 9th International Renewable Energy Congress, IREC 2018
SP - 1
EP - 6
BT - 2018 9th International Renewable Energy Congress, IREC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Renewable Energy Congress, IREC 2018
Y2 - 20 March 2018 through 22 March 2018
ER -