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دانلود رایکان مقاله انگلیسی ISI با موضوع مقدمه ای بر شبکه های اجتماعی چند سطحی

عنوان فارسی مقاله:

مقدمه ای بر شبکه های اجتماعی چند سطحی

عنوان انگلیسی مقاله:

Introduction to multilevel social networks

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1. Papers in the special issue

In the eight papers selected for this special edition, a variety of methods and models are applied to a range of cross-sectional and longitudinal multilevel datasets. Methodological approaches represented in the special issue include Multilevel Exponential Random Graph Models (MERGMs), Stochastic Actor Oriented Models (SAOMs) and Multiple Membership, Multiple Classification models (MMMC models). MERGMs focus on dependence structures within and across structural levels. SAOMs emphasize the co-evolutionary link between single-level and multilevel networks. MMMC models focus on the contribution of various kinds of network ties on the variability of outcomes that are lower level node attributes. Each paper pursues distinct analytical objectives in the context of original data that the authors have collected to address a variety of domain-specific empirical problems. We think that, collectively, these papers demonstrate the flexibility, generality and usefulness of the conceptualization and analysis of multilevel networks. Using original data on collaborative relations among health care organizations operating within a regional community, Tranmer et al. (2016) extend the Multiple Membership Multiple Classification (MMMC) model, recently proposed by Tranmer et al. (2014), to the analysis of the sources of variation in the performance of organizational sub-units embedded in a cross-sectional multilevel network.