Categorical attribute based centrality: E–I and G–F centrality
نویسندگان
چکیده
منابع مشابه
Categorical attribute based centrality: E-I and G-F centrality
In a paper examining informal networks and organizational crisis, Krackhardt and Stern (1988) proposed a measure assessing the extent to which relations in a network were internal to a group as opposed to rokerage roles ategorical attributes external. They called their measure the E–I index. The measure is now in wide use and is implemented in standard network packages such as UCINET (Borgatti ...
متن کاملEigenvector-centrality - a node-centrality?
Networks of social relations can be represented by graphs and socioor adjacency-matrices and their structure can be analyzed using different concepts, one of them called centrality. We will provide a new formalization of a “node-centrality” which leads to some properties a measure of centrality has to satisfy. These properties allow to test given measures, for example measures based on degree, ...
متن کاملCentrality-based Pathway Enrichment
Gene set enrichment analysis is broadly used in microarray data analysis [8, 5]. It aimes to find which biological functions are affected by a group of related genes behind the massive information. The most used methotology is finding these significant gene set from a 2 × 2 contingency table, usually by Fisher’s exact test or chi-square test. This kind of analysis is known as Over-represented A...
متن کاملCentrality based Document Ranking
In this paper, we address the problem of ranking clinical documents using centrality based approach. We model the documents to be ranked as nodes in a graph and place edges between documents based on their similarity. Given a query, we compute similarity of the query with respect to every document in the graph. Based on these similarity values, documents are ranked for a given query. Initially,...
متن کاملNetwork evolution based on centrality.
We study the evolution of networks when the creation and decay of links are based on the position of nodes in the network measured by their centrality. We show that the same network dynamics arise under various centrality measures, and solve analytically the network evolution. During the complete evolution, the network is characterized by nestedness: the neighborhood of a node is contained in t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Networks
سال: 2012
ISSN: 0378-8733
DOI: 10.1016/j.socnet.2012.06.002