Throughout the book, we use empirical examples to illustrate the material. Because social
networks are studied in a variety of traditional academic disciplines, we draw our examples …

This paper aims to provide a comprehensive critical overview on how entities and their
interactions in Complex Networked Systems (CNS) are modelled across disciplines as they …

新能源电网中负荷对各特征因素更为敏感, 当面对海量特征数据时, 短期负荷预测方法面临着新
的挑战. 针对含有高维特征数据的新能源电网, 提出一种考虑特征选择的双向长短期记忆(Bi …

This approachable book introduces network research in R, walking you through every step
of doing social network analysis. Drawing together research design, data collection and data …

Empirical peer effects research often employs censored peer data. Individuals may list only
a fixed number of links, implying mismeasured peer variables. I first document that censoring …

Collecting social network data among organization members using surveys is challenging
and requires a well-considered strategy. Based on extensive past experience with collecting …

Energy consumption prediction of a CNC machining process is important for energy
efficiency optimization strategies. To improve the generalization abilities, more and more …

This study evaluates the role of social network research in exploring its current application
within forest research and identify potential for building connections. Through a systematic …

Social-ecological fit demands that governance systems align with and function at the
appropriate scales of social and ecological processes being governed. While multilevel …

The social-ecological effects of agricultural intensification are complex. We explore farmers'
perceptions about the impacts of their land management and the impact of social information …