A hierarchical approach for influential node ranking in complex social networks A Zareie, A Sheikhahmadi Expert Systems with Applications 93, 200-211, 2018 | 136 | 2018 |
Identification of influential users in social network using gray wolf optimization algorithm A Zareie, A Sheikhahmadi, M Jalili Expert Systems with Applications 142, 112971, 2020 | 119 | 2020 |
Identification of multi-spreader users in social networks for viral marketing A Sheikhahmadi, MA Nematbakhsh Journal of Information Science 43 (3), 412-423, 2017 | 112 | 2017 |
Influence maximization in social networks based on TOPSIS A Zareie, A Sheikhahmadi, K Khamforoosh Expert Systems with Applications 108, 96-107, 2018 | 103 | 2018 |
Finding influential nodes in social networks based on neighborhood correlation coefficient A Zareie, A Sheikhahmadi, M Jalili, MSK Fasaei Knowledge-based systems 194, 105580, 2020 | 101 | 2020 |
Identification of influential users in social networks based on users’ interest A Zareie, A Sheikhahmadi, M Jalili Information Sciences 493, 217-231, 2019 | 99 | 2019 |
Improving detection of influential nodes in complex networks A Sheikhahmadi, MA Nematbakhsh, A Shokrollahi Physica A: Statistical Mechanics and its Applications 436, 833-845, 2015 | 99 | 2015 |
Influential node ranking in social networks based on neighborhood diversity A Zareie, A Sheikhahmadi, M Jalili Future Generation Computer Systems 94, 120-129, 2019 | 84 | 2019 |
Influential nodes ranking in complex networks: An entropy-based approach A Zareie, A Sheikhahmadi, A Fatemi Chaos, Solitons & Fractals 104, 485-494, 2017 | 83 | 2017 |
Identification of influential users by neighbors in online social networks A Sheikhahmadi, MA Nematbakhsh, A Zareie Physica A: Statistical Mechanics and its Applications 486, 517-534, 2017 | 71 | 2017 |
EHC: Extended H-index centrality measure for identification of users’ spreading influence in complex networks A Zareie, A Sheikhahmadi Physica A: Statistical Mechanics and its Applications 514, 141-155, 2019 | 57 | 2019 |
Content marketing through data mining on Facebook social network. S Forouzandeh, H Soltanpanah, A Sheikhahmadi Webology 11 (1), 2014 | 54 | 2014 |
A hybrid method of link prediction in directed graphs H Ghorbanzadeh, A Sheikhahmadi, M Jalili, S Sulaimany Expert Systems with Applications 165, 113896, 2021 | 38 | 2021 |
Identifying influential spreaders using multi-objective artificial bee colony optimization A Sheikhahmadi, A Zareie Applied Soft Computing 94, 106436, 2020 | 31 | 2020 |
DI-Mondrian: Distributed improved Mondrian for satisfaction of the L-diversity privacy model using Apache Spark F Ashkouti, A Sheikhahmadi Information Sciences 546, 1-24, 2021 | 30 | 2021 |
New centrality measure for nodes based on user social status and behavior on Facebook S Forouzandeh, A Sheikhahmadi, A Rezaei Aghdam, S Xu International Journal of Web Information Systems 14 (2), 158-176, 2018 | 30 | 2018 |
Application of data mining in designing a recommender system on social networks S Forouzandeh, H Soltanpanah, A Sheikhahmadi International Journal of Computer Applications 124 (1), 2015 | 21 | 2015 |
Detection of trust links on social networks using dynamic features E Golzardi, A Sheikhahmadi, A Abdollahpouri Physica A: Statistical Mechanics and its Applications 527, 121269, 2019 | 18 | 2019 |
Classifying tumor brain images using parallel deep learning algorithms A Kazemi, ME Shiri, A Sheikhahmadi Computers in Biology and Medicine 148, 105775, 2022 | 16 | 2022 |
LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation T Shahgholi, A Sheikhahmadi, K Khamforoosh, S Azizi EURASIP Journal on Wireless Communications and Networking 2021 (1), 35, 2021 | 16 | 2021 |