Partitioning signed networks using relocation heuristics, tabu search, and variable neighborhood search
Bibliographic Data
| ID | 8017952 |
|---|---|
| Authors | Michael J Brusco (0000-0002-1465-6233, Florida State University), P Doreian (0000-0002-3301-7840, University of Ljubljana, corresponding author) |
| Year | 2018 |
| Volume | 56 |
| Pages | 70-80 |
| Publication date | 2018-09-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 0378-8733 • E-ISSN: 1879-2111 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socnet.2018.08.007 |
| OpenAlex | W2893740070 |
| Language | EN |
| Citations received | 2 |
| References cited | 50 |
Algorithm · Heuristics · Local search (optimization · Mathematical optimization · Metaheuristic · Relocation · Tabu search · Variable (mathematics · Variable neighborhood search · Advanced Graph Theory Research · Computer Science · Interconnection Networks and Systems · Mathematics · Optimization and Packing Problems
Generalized Blockmodeling
Exploratory Social Network Analysis with Pajek
The acquaintance process.
Structural balance
Attitudes and Cognitive Organization
Fast unfolding of communities in large networks
Testing two theories for generating signed networks using real data
Partitioning signed social networks
Partitioning large signed two-mode networks
Network analysis of 2-mode data
Mixed integer programming formulations for clustering problems related to structural balance
A partitioning approach to structural balance
Group Characteristics as Revealed in Sociometric Patterns and Personality Ratings
Structural Balance and Signed International Relations
A variable neighborhood search method for a two-mode blockmodeling problem in social network analysis
Clustering and Structural Balance in Graphs
Two Algorithms for Relaxed Structural Balance Partitioning
A multiple indicator approach to blockmodeling signed networks
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,29 |
| Citation span | 2019 - 2024 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |