Blockmodeling of multilevel networks
نویسنده
چکیده
The article presents several approaches to the blockmodeling of multilevel network data. Multilevel network data consist of networks that are measured on at least two levels (e.g. between organizations and people) and information on ties between those levels (e.g. information on which people are members of which organizations). Several approaches will be considered: a separate analysis of the levels; transforming all networks to one level and blockmodeling on this level using information from all levels; and a truly multilevel approach where all levels and ties among them are modeled at the same time. Advantages and disadvantages of these approaches will be discussed.
منابع مشابه
Generalized blockmodeling of valued networks
The paper presents several approaches to generalized blockmodeling of valued networks, where values of the ties are assumed to be measured on at least interval scale. The first approach is a straightforward generalization of the generalized blockmodeling of binary networks [Doreian, P., Batagelj, V., Ferligoj, A., 2005. Generalized Blockmodeling. Cambridge University Press, New York.] to valued...
متن کامل1 Some Open Problem Sets for Generalized Blockmodeling
This paper provides an introduction to the blockmodeling problem of how to cluster networks, based solely on the structural information contained in the relational ties, and a brief overview of generalized blockmodeling as an approach for solving this problem. Following a formal statement of the core of generalized blockmodeling, a listing of the advantages of adopting this approach to partitio...
متن کاملGeneralized blockmodeling of sparse networks
The paper starts with an observation that the blockmodeling of relatively sparse binary networks (where we also expect sparse non-null blocks) is problematic. The use of regular equivalence often results in almost all units being classified in the same equivalence class, while using structural equivalence (binary version) only finds very small complete blocks. Two possible ways of blockmodeling...
متن کاملA real-coded genetic algorithm for two-mode KL-means partitioning with application to homogeneity blockmodeling
The two-mode KL-means partitioning (TMKLMP) problem has a number of important applications in the social and physical sciences. For example, the intra-block variability measure associated with TMKLMP underscores its direct relevance to two-mode homogeneity blockmodeling of binary and real-valued social networks. We present a real-coded genetic algorithm for obtaining TMKLMP solutions. A simulation
متن کاملCorrigendum to "Generalized blockmodeling of two-mode network data" [Social Networks 26 (2004) 29-53]
The authors regret that in the above published paper the following error occurred. Martin Everett has kindly drawn our attention to an omission in the above manuscript in which we proposed extending generalized blockmodeling to two-mode data. The idea of simultaneously partitioning the rows and columns of a two-mode data structure was proposed in “Borgatti, S., Everett, M.G., 1992. Regular bloc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Social Networks
دوره 39 شماره
صفحات -
تاریخ انتشار 2014