Topic-based community search over spatial-social networks
Recently, the community search problem has attracted significant attention, due to its wide
spectrum of real-world applications such as event organization, friend recommendation …
spectrum of real-world applications such as event organization, friend recommendation …
Scalable time-range k-core query on temporal graphs (full version)
Querying cohesive subgraphs on temporal graphs with various time constraints has
attracted intensive research interests recently. In this paper, we study a novel Temporal k …
attracted intensive research interests recently. In this paper, we study a novel Temporal k …
Polarized communities search via co-guided random walk in attributed signed networks
Polarized communities search aims at locating query-dependent communities, in which
mostly nodes within each community form intensive positive connections, while mostly …
mostly nodes within each community form intensive positive connections, while mostly …
A Unified and Scalable Algorithm Framework of User-Defined Temporal -Core Query
Querying cohesive subgraphs on temporal graphs (eg, social network, finance network, etc.)
with various conditions has attracted intensive research interests recently. In this paper, we …
with various conditions has attracted intensive research interests recently. In this paper, we …
Evolution Forest Index: Towards Optimal Temporal k-Core Component Search via Time-Topology Isomorphic Computation
For a temporal graph like transaction network, finding a densely connected subgraph that
contains a vertex like a suspicious account during a period is valuable. Thus, we study the …
contains a vertex like a suspicious account during a period is valuable. Thus, we study the …
An Algorithm for Finding Optimal k-Core in Attribute Networks
J Liu, Y Zhong - Applied Sciences, 2024 - mdpi.com
As a structural indicator of dense subgraphs, k-core has been widely used in community
search due to its concise and efficient calculation. Many community search algorithms have …
search due to its concise and efficient calculation. Many community search algorithms have …
Co-Engaged Location Group Search in Location-Based Social Networks
Searching for well-connected user communities in a Location-based Social Network (LBSN)
has been extensively investigated. However, very few studies focus on finding a group of …
has been extensively investigated. However, very few studies focus on finding a group of …
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs
Attributed graphs are graphs, where the vertices have attributes. Such graphs encompass,
eg, social network graph, citation graphs, and knowledge graphs, which have numerous real …
eg, social network graph, citation graphs, and knowledge graphs, which have numerous real …
Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Community search (CS) is a vital research area in network science that focuses on
discovering personalized communities for query vertices from graphs. However, existing CS …
discovering personalized communities for query vertices from graphs. However, existing CS …
Reverse Influential Community Search Over Social Networks (Technical Report)
As an important fundamental task of numerous real-world applications such as social
network analysis and online advertising/marketing, several prior works studied influential …
network analysis and online advertising/marketing, several prior works studied influential …