2023 Impact factor 1.5
Atomic, Molecular, Optical and Plasma Physics

EPJ B Topical Issue: Mathematical Modeling in Epidemiology: Limits and Pitfalls

Guest Editors: Philipp Hövel and Igor Sokolov

Submissions are invited for a Topical Issue of EPJ B on Mathematical Modeling in Epidemiology: Limits and Pitfalls.

The last/on-going SARS-CoV2 pandemic has triggered an unprecedented boost of studies on mathematical modeling of epidemics. Large-scale data have become available on high spatial, temporal, and social resolution. Many groups have entered the field, devoting time and attention to the topic. Now, it is time to re-evaluate methods and approaches of modeling and to learn from the past for the future:

After the pandemic is before the pandemic.

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EPJ B Topical Issue: Neuromorphic Bio-inspired Computing

Guest Editors: Philipp Hövel, Rainer Adelung, Jan Bielecki, Wilhelm Braun, Claus Hilgetag, Hermann Kohlstedt, Claudia Lenk, Alex Schaum, Jan Trieschmann, Peer Wulff

Submissions are invited for a Topical Issue of EPJ B on Neuromorphic Bio-inspired Computing.

As a result of a billion years of ongoing evolution, nervous systems exhibit remarkable capabilities for the interactions with their surroundings. In contrast to man-made, clockdriven Boolean Turing machines, information processing in biological nervous systems is characterized by highly parallel, energy efficient, and adaptive architecture. When it comes, for instance, to pattern recognition, failure tolerance, and cognitive tasks in real time, even simple creatures outperform supercomputers, in particular under the aspect of power dissipation. From an engineering point of view, nervous systems process information in such a way that even state-of-the-art silicon technology and modern digital computing strategies seem to be outstripped. They excel by using information pathways that are characterized by a highly irregular and flexible tissue consisting of neurons, synapses and axons operating at low conduction velocities that lead to pronounced signal delays. From a holistic point of view, nervous systems can be considered as time-varying networks in which spike dynamics and cellular morphology are intricately linked and reciprocally interwoven.

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EPJ B Topical Issue: New frontiers in exploring the dynamics of community structure in online social networks

Guest Editors: Shuo Yu, Asif Ali Laghari, Mengmeng Yang, Renaud Lambiotte

Submissions are invited for a Topical Issue of EPJ B on New frontiers in exploring the dynamics of community structure in online social networks.

Social networks have become an important part of our everyday life. These networks have revolutionized the way we live and interact with each other. Numerous applications of social networks go beyond just personal communication, including finding new friends and business contacts as well as organizing public events, or finding people who share similar interests. Understanding the dynamics of community structure in online social networks is important for many reasons. First, such knowledge can help improve marketing strategies since it sheds light on the relationships between users and the products or services sold. Second, this information can be used in the design and development of social networking systems that support these relationships. Third, understanding how communities emerge and evolve will help us better predict future behavior in response to various events. Online social networks have become popular venues for connecting with others and sharing content. However, they also harbor the potential to enable malicious activities by users who intend to harm members of these communities. To help mitigate this threat, it is critical to understand how community structures evolve and what factors affect them. The dynamics of community structure in online social networks have attracted growing interest from many disciplines. Network science, sociology, and social psychology have all contributed to the research community's understanding of how contextual factors influence what individuals perceive as "communities" and how they behave within those communities. However, even though most studies treat individual participation as relatively stable across periods (e.g., by comparing one time period to another or averaging across multiple periods), there is no scientific consensus on how users' behaviors change over time, whether because of changes in their characteristics such as demographics, mood, and personality; or because of trends in technology adoption; or both.

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Editors-in-Chief
A. Beige, J. Burgdörfer and S. Ptasinska
It is always a pleasure to review for EPJD.

Miguel Ángel García-March

ISSN (Print Edition): 1434-6060
ISSN (Electronic Edition): 1434-6079

© EDP Sciences, Società Italiana di Fisica and Springer-Verlag