Name
Abstract | ||
|---|---|---|
Starbucks coffee shops have been spread rapidly and widely all over the world, which implies that there may be diffusive powers among them and thus can be represented as social networks. In particular, the spreading speed of Starbuck Korea was at record ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CASoN.2009.12 | CASoN |
Keywords | Field | DocType |
social network,starbuck korea,diffusive power,starbucks coffee shop,social group identification,indexes,neural network,boolean functions,fuzzy clustering,computer networks,social groups,clustering algorithms,data mining,factor analysis,hierarchical clustering,computer science,statistics,artificial neural networks,cluster analysis,data analysis,voting | Boolean function,Hierarchical clustering,Fuzzy clustering,Data mining,Voting,Computer science,Determining the number of clusters in a data set,Artificial intelligence,Factor analysis,Binary data,Cluster analysis,Machine learning | Conference |
ISSN | Citations | PageRank |
2155-7047 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duan Husek | 1 | 0 | 0.34 |
| Hana Rezanková | 2 | 56 | 9.79 |
| Jirí Dvorsky | 3 | 0 | 0.34 |