A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.

This novel reassessment of the field presents the central concepts in evolutionary game theory and provides an authoritative and up-to-date account. The focus is on concepts that are important for biologists in their attempts to explain observations. This strong connection between concepts and applications is a recurrent theme throughout the book.

This book demonstrates the application of network theory to the social organization of animals.

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. - Answers both 'why' and 'how' questions in network analysis, bridging the gap between practice and theory allowing for the easier entry of novices into complex technical literature and computation - Fully describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state of the art' versioned for their domain environment, saving them time and money - Disciplined structure provides latitude for multiple sources of expertise while retaining an integrated and pedagogically focused authorial voice, ensuring smooth transition and easy progression for readers - Fully supported by companion site code repository - 40+ diagrams of 'networks in the wild' help visually summarize key points

Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.

CSA Sociological Abstracts abstracts and indexes the international literature in sociology and related disciplines in the social and behavioral sciences. The database provides abstracts of journal articles and citations to book reviews drawn from over 1,800+ serials publications, and also provides abstracts of books, book chapters, dissertations, and conference papers.

This Research Topic is Volume II of a series. The previous volume can be found here: Energy, Economy, and Climate Interactions: Challenges and Opportunities Climate change is one of the biggest risks to global development, and it poses a severe threat to the economic and social development of all countries, which has originated largely from the greenhouse gas emissions related to energy use. This, coupled with the worldwide economic downturn caused by the COVID-19 pandemic and global energy supply shortage resulting from international instability, highlights the necessity and urgency of the collaborative promotion of addressing climate change, energy security, and economic growth issues. Green and low-carbon transformation of global energy is the key to mitigating climate change, guaranteeing energy security, and promoting economic recovery. This Research Topic aims to address advances in systematic studies on climate, energy, and socio-economic development issues based on theories and methods of multiple disciplines including Economics, Management Science, Natural Science, and Engineering Technology. Authors are encouraged to adopt self-developed or mature models such as integrated assessment models, energy optimization models, input-output models, air quality models, or climate models. We are particularly interested in applied studies that provide insightful information to facilitate reducing pollution and carbon emission actions related to energy utilization and other behavior changes to mitigate and adapt to climate change, preserve the ecological environment, and promote sustainable socio-economic development.