J Laurie Snell
Biographic Data
| ID | 3631305 |
|---|---|
| NAME | J Laurie Snell |
| GIVEN NAMES | J Laurie |
| FAMILY NAME | Snell |
| SIGNATURE | SNELL J L |
| AFFILIATIONS | Dartmouth College |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1962 |
| LATEST PUBLICATION YEAR | 1980 |
| H-INDEX | 3 |
On the relation between Markov random fields and social networks
Holland and Leinhardt (1977a) introduced a continuous time Markov chain to model changes in a social network. Their model was further studied by Wasserman (1977). Holland and Leinhardt (1977b) have also proposed a general class of probability measures on random networks. The purpose of this paper is to show that these probability measures may be viewed as Gibbs measures induced by a nearest neighbor potential. As such they have a Markov field pro…
Introduction to Finite Mathematics
Types of Formalization in Small-Group Research
Types of Formalization in Small-Group Research
On the relation between Markov random fields and social networks
Holland and Leinhardt (1977a) introduced a continuous time Markov chain to model changes in a social network. Their model was further studied by Wasserman (1977). Holland and Leinhardt (1977b) have also proposed a general class of probability measures on random networks. The purpose of this paper is to show that these probability measures may be viewed as Gibbs measures induced by a nearest neighbor potential. As such they have a Markov field pro…
Introduction to Finite Mathematics
Types of Formalization in Small-Group Research
Introduction to Finite Mathematics
On the relation between Markov random fields and social networks
Holland and Leinhardt (1977a) introduced a continuous time Markov chain to model changes in a social network. Their model was further studied by Wasserman (1977). Holland and Leinhardt (1977b) have also proposed a general class of probability measures on random networks. The purpose of this paper is to show that these probability measures may be viewed as Gibbs measures induced by a nearest neighbor potential. As such they have a Markov field pro…
Mathematics (2 works) · Physics (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Calculus (dental (1 works) · Class (philosophy (1 works) · Complex Network Analysis Techniques (1 works) · Computability, Logic, AI Algorithms (1 works) · Computer Science (1 works) · Discrete mathematics (1 works)