Community detection with the label propagation algorithm: a survey
SE Garza, SE Schaeffer - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Community detection aims at discovering the structure, behavior, dynamics, and
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp
WhatsApp emerged as a major communication platform in many countries in the recent
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
Social anxiety disorder as a densely interconnected network of fear and avoidance for social situations
A Heeren, RJ McNally - Cognitive Therapy and Research, 2018 - Springer
The hallmark symptoms of social anxiety disorder (SAD) are fear and avoidance of social
evaluative situations. Yet, even people without SAD sometimes fear and avoid certain social …
evaluative situations. Yet, even people without SAD sometimes fear and avoid certain social …
Deconstructing trait anxiety: A network perspective
Background and objectives: For decades, the dominant paradigm in trait anxiety research
has regarded the construct as signifying the underlying cause of the thoughts, feelings, and …
has regarded the construct as signifying the underlying cause of the thoughts, feelings, and …
[HTML][HTML] Ensemble synchronization in the reassembly of Hydra's nervous system
Although much is known about how the structure of the nervous system develops, it is still
unclear how its functional modularity arises. A dream experiment would be to observe the …
unclear how its functional modularity arises. A dream experiment would be to observe the …
Co-association matrix-based multi-layer fusion for community detection in attributed networks
S Luo, Z Zhang, Y Zhang, S Ma - Entropy, 2019 - mdpi.com
Community detection is a challenging task in attributed networks, due to the data
inconsistency between network topological structure and node attributes. The problem of …
inconsistency between network topological structure and node attributes. The problem of …
Label propagation for clustering
L Šubelj - Advances in network clustering and blockmodeling, 2019 - Wiley Online Library
This chapter presents the basic label propagation method for network clustering and
partitioning, together with its numerous variants and advances, extensions to different types …
partitioning, together with its numerous variants and advances, extensions to different types …
Partition Clustering in Complex Weighted Networks Using K-Cut Ranking and Krill-herd Optimization
Network partitioning has been studied extensively on undirected and weighted networks that
need to partition the graph into small clusters. Graph-cutting is a widely known approach that …
need to partition the graph into small clusters. Graph-cutting is a widely known approach that …
Causality-based social media analysis for normal users credibility assessment in a political crisis
Information trustworthiness assessment on political social media discussions is crucial to
maintain the order of society, especially during emergent situations. The polarity nature of …
maintain the order of society, especially during emergent situations. The polarity nature of …
Critical analysis of (Quasi-) Surprise for community detection in complex networks
Module or community structures widely exist in complex networks, and optimizing statistical
measures is one of the most popular approaches for revealing and identifying such …
measures is one of the most popular approaches for revealing and identifying such …