Core decomposition of uncertain graphs
Core decomposition has proven to be a useful primitive for a wide range of graph analyses.
One of its most appealing features is that, unlike other notions of dense subgraphs, it can be …
One of its most appealing features is that, unlike other notions of dense subgraphs, it can be …
Truss decomposition of probabilistic graphs: Semantics and algorithms
A key operation in network analysis is the discovery of cohesive subgraphs. The notion of k-
truss has gained considerable popularity in this regard, based on its rich structure and …
truss has gained considerable popularity in this regard, based on its rich structure and …
Injecting uncertainty in graphs for identity obfuscation
Data collected nowadays by social-networking applications create fascinating opportunities
for building novel services, as well as expanding our understanding about social structures …
for building novel services, as well as expanding our understanding about social structures …
Efficient stochastic routing in path-centric uncertain road networks
The availability of massive vehicle trajectory data enables the modeling of road-network
constrained movement as travel-cost distributions rather than just single-valued costs …
constrained movement as travel-cost distributions rather than just single-valued costs …
Discovering highly reliable subgraphs in uncertain graphs
In this paper, we investigate the highly reliable subgraph problem, which arises in the
context of uncertain graphs. This problem attempts to identify all induced subgraphs for …
context of uncertain graphs. This problem attempts to identify all induced subgraphs for …
Efficient probabilistic k-core computation on uncertain graphs
As uncertainty is inherent in a wide spectrum of graph applications such as social network
and brain network, it is highly demanded to re-visit classical graph problems in the context of …
and brain network, it is highly demanded to re-visit classical graph problems in the context of …
Efficient subgraph similarity search on large probabilistic graph databases
Many studies have been conducted on seeking the efficient solution for subgraph similarity
search over certain (deterministic) graphs due to its wide application in many fields …
search over certain (deterministic) graphs due to its wide application in many fields …
Simple, fast, and scalable reachability oracle
R **, G Wang - arxiv preprint arxiv:1305.0502, 2013 - arxiv.org
A reachability oracle (or hop labeling) assigns each vertex v two sets of vertices: Lout (v) and
Lin (v), such that u reaches v iff Lout (u)\cap Lin (v)\neq\emptyset. Despite their simplicity and …
Lin (v), such that u reaches v iff Lout (u)\cap Lin (v)\neq\emptyset. Despite their simplicity and …
Reliable clustering on uncertain graphs
Many graphs in practical applications are not deterministic, but are probabilistic in nature
because the existence of the edges is inferred with the use of a variety of statistical …
because the existence of the edges is inferred with the use of a variety of statistical …
Discovering your selling points: Personalized social influential tags exploration
Social influence has attracted significant attention owing to the prevalence of social
networks (SNs). In this paper, we study a new social influence problem, called personalized …
networks (SNs). In this paper, we study a new social influence problem, called personalized …