Name
Abstract | ||
|---|---|---|
We discuss the idea of fuzzy relationships and their role in modeling weighted social relational networks. The paradigm of computing with words is introduced, and the role that fuzzy sets play in representing linguistic concepts is described. We discuss how these technologies can provide a bridge between a network analyst's linguistic description of social network concepts and the formal model of the network. We then turn to some examples of taking an analyst's network concepts and formally representing them in terms of network properties. We first do this for the concept of clique and then for the idea of node importance. Finally, we introduce the idea of vector-valued nodes and begin developing a technology of social network database theory. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TSMCA.2009.2036591 | IEEE Transactions on Systems, Man, and Cybernetics, Part A |
Keywords | Field | DocType |
concept representation,network analyst,database structures,social network concept,fuzzy set,fuzzy relationship,network property,weighted social relational network,network concept,fuzzy social relational networks,social network database theory,linguistic concept,linguistic description,social relation,relational databases,fuzzy sets,machine intelligence,social network,data structures,computer networks,fuzzy set theory,database theory,formal languages | Dynamic network analysis,Organizational network analysis,Social network,Clique,Relational database,Computer science,Fuzzy logic,Fuzzy set,Theoretical computer science,Artificial intelligence,Database theory,Machine learning | Journal |
Volume | Issue | ISSN |
40 | 2 | 1083-4427 |
Citations | PageRank | References |
10 | 0.69 | 13 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald R. Yager | 1 | 986 | 206.03 |