Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams.
Eneko OsabaJavier Del SerÁngel PanizoDavid CamachoAkemi GálvezAndrés IglesiasPublished in: GECCO (Companion) (2019)
Keyphrases
- bio inspired
- community detection
- metaheuristic
- search methods
- search space
- graph clustering
- swarm intelligence
- label propagation
- graph mining
- ant colony optimization
- complex networks
- search algorithm
- massive graphs
- overlapping communities
- social networks
- network analysis
- label propagation algorithm
- artificial neural networks
- simulated annealing
- genetic algorithm
- link prediction
- tabu search
- community formation
- optimization problems
- real world graphs
- hyper graph
- optimal solution
- community structure
- graph theory
- random walk
- densely connected
- community detection algorithms
- combinatorial optimization
- network structure
- constraint satisfaction problems
- artificial intelligence
- citation networks
- search procedures
- social network analysis
- cost function
- semi supervised learning
- bipartite graph
- phase transition