Opinion Dynamics and Social Influence

The massive spread of digital misinformation has been identified as a major threat to democracies. Communication, cognitive, social, and computer scientists are studying the complex causes for the viral diffusion of misinformation, while online platforms are beginning to deploy countermeasures. Little systematic, data…

• ONUR VAROL

where P is an unknown function representing the rate of virus production, c is a constant called the clearance rate constant, and V is the virus concentration. The population dynamics of CD4 � T-cells in humans is not well understood. Nevertheless, a reasonable model for this population of cells is ˙T � s − dT � aT 1…

• BÜNYAMİN SARIBACAK

where P is an unknown function representing the rate of virus production, c is a constant called the clearance rate constant, and V is the virus concentration. The population dynamics of CD4 � T-cells in humans is not well understood. Nevertheless, a reasonable model for this population of cells is ˙T � s − dT � aT 1…

• İNCİ GÜLTEKİN

Community detection is an important research topic in complex networks. We present the employment of a genetic algorithm to detect communities in complex networks which is based on optimizing network modularity. It does not need any prior knowledge about the number of communities. Its performance is tested on two real…

We consider networks of coupled maps where the connections between units involve time delays. We show that, similar to the undelayed case, the synchronization of the network depends on the connection topology, characterized by the spectrum of the graph Laplacian. Consequently, scale-free and random networks are capabl…

This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) personality model. Each personality trait has an associated nominal behavior. Specifying an agent's per…

• UĞUR GÜDÜKBAY

Abstract: Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications. Many works inspired by different paradigms are devoted to the development of algorithmic solutions allowing to reveal the network structure in such cohesive subgroups. Comp…

In the social psychology literature, crowds are classified as audiences and mobs. Audiences are passive crowds, whereas mobs are active crowds with emotional, irrational and seemingly homogeneous behavior. In this study, we aim to create a system that enables the specification of different crowd types ranging from aud…

• UĞUR GÜDÜKBAY

Identifying and verifying new information quickly are key issues for journalists who use social media. This article examines what tools journalists think they need to cope with the growing volume and complexity of news on social media, and what improvements are needed in existing systems. It gives some initial results…

• SAFİYE AYŞE GÖKER MYRHAUG

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