| 1 |
An influence network model to study discrepancies in expressed and private opinions
Ye MB, Qin YZ, Govaert A, Anderson BDO, Cao M
Automatica, 107, 371, 2019 |
| 2 |
Incorporating machine learning with building network analysis to predict multi-building energy use
Xu XD, Wang W, Hong TZ, Chen JY
Energy and Buildings, 186, 80, 2019 |
| 3 |
Review of two decade geothermal energy development in Iran, benefits, challenges, and future policy
Noorollahi Y, Shabbir MS, Siddiqi AF, Ilyashenko LK, Ahmadi E
Geothermics, 77, 257, 2019 |
| 4 |
An approach based on association rules and social network analysis for managing environmental risk: A case study from a process industry
Ciarapica F, Bevilacqua M, Antomarioni S
Process Safety and Environmental Protection, 128, 50, 2019 |
| 5 |
Understanding the social network of stakeholders in hydropower project development: An owners' view
Wang SL, Shen WX, Tang WZ, Wang YH, Duffield CF, Hui FKP
Renewable Energy, 132, 326, 2019 |
| 6 |
Policy simulation for promoting residential PV considering anecdotal information exchanges based on social network modelling
Wang G, Zhang Q, Li Y, Li HL
Applied Energy, 223, 1, 2018 |
| 7 |
Measuring China's new energy vehicle patents: A social network analysis approach
Sun HP, Geng Y, Hu LX, Shi LY, Xu T
Energy, 153, 685, 2018 |
| 8 |
Solar energy technologies and open innovation: A study based on bibliometric and social network analysis
de Paulo AF, Porto GS
Energy Policy, 108, 228, 2017 |
| 9 |
Novel Multidimensional Models of Opinion Dynamics in Social Networks
Parsegov SE, Proskurnikov AV, Tempo R, Friedkin NE
IEEE Transactions on Automatic Control, 62(5), 2270, 2017 |
| 10 |
Polar Opinion Dynamics in Social Networks
Amelkin V, Bullo F, Singh AK
IEEE Transactions on Automatic Control, 62(11), 5650, 2017 |
