MSc. Thesis Defense:Murat Mustafa Tunç
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  • MSc. Thesis Defense:Murat Mustafa Tunç

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Murat Mustafa Tunç
Industrial Engineering, MSc. Thesis, 2015


Thesis Jury

Prof. Dr. Ali Rana Atılgan (Thesis Advisor),

Assoc. Prof. Dr. Tonguç Ünlüyurt,

Asst. Prof. Dr. Ahmet Onur Durahim



Date &Time: 04.08.2015 –  10:30

Place: FENS L030

Keywords : Collective Action, Diffusion, Clustering, Small Worlds, Hub Networks





In this thesis, we present models for the diffusion of innovation and collective action in complex networks. The diffusion models are divided into three components, namely node, link and neighbor diffusion. Each diffusion model is simulated in ring lattice, small worlds, random networks and scale free networks in order to analyze the effect of network topology. The simulation results suggest that low level of clustering coefficient and average path length, as well as the presence of hubs are efficient for the innovation to become widespread. Comparative results for the collective action show that the presence of hubs is insignificant for determining the size of the collective subset. On the other hand, the tightly-knit communities are effective for the collective decision making. We also provide sufficient parameters for the modelling of networks where both the diffusion and collective action take place. According to our results, the clustering plays an important role in both diffusion and collective action. However, the presence of hubs is not a must for collective action.