Name
Title | ||
|---|---|---|
Inferring Structural Characteristics of Networks with Strong and Weak Ties from Fixed-Choice Surveys. |
Abstract | ||
|---|---|---|
Knowing the structure of an offline social network facilitates a variety of analyses, including studying the rate at which infectious diseases may spread and identifying a subset of actors to immunize in order to reduce, as much as possible, the rate of spread. Offline social network topologies are typically estimated by surveying actors and asking them to list their neighbors. While identifying c... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSIPN.2017.2731053 | IEEE Transactions on Signal and Information Processing over Networks |
Keywords | DocType | Volume |
Social network services,Information processing,Network topology,Sampling methods,Interviews,Infectious diseases,Topology | Journal | 3 |
Issue | ISSN | Citations |
3 | 2373-776X | 1 |
PageRank | References | Authors |
0.35 | 15 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naghmeh Momeni | 1 | 4 | 3.87 |
| Michael G. Rabbat | 2 | 1631 | 111.76 |