# Effective Community Search on Large Attributed Bipartite Graphs

## TL;DR

This paper introduces new algorithms for community search in large attributed bipartite graphs, effectively incorporating node attributes to improve the cohesion of the identified communities.

## Contribution

The paper proposes the first algorithms that integrate node attributes into community search on bipartite graphs, enhancing result relevance and cohesion.

## Key findings

- Algorithms are effective on eight large graphs
- Proposed methods outperform baseline approaches
- Query efficiency and community quality are improved

## Abstract

Community search over bipartite graphs has attracted significant interest recently. In many applications such as user-item bipartite graph in E-commerce, customer-movie bipartite graph in movie rating website, nodes tend to have attributes, while previous community search algorithm on bipartite graphs ignore attributes, which makes the returned results with poor cohesion with respect to their node attributes. In this paper, we study the community search problem on attributed bipartite graphs. Given a query vertex q, we aim to find attributed $\left(\alpha,\beta\right)$-communities of $G$, where the structure cohesiveness of the community is described by an $\left(\alpha,\beta\right)$-core model, and the attribute similarity of two groups of nodes in the subgraph is maximized. In order to retrieve attributed communities from bipartite graphs, we first propose a basic algorithm composed of two steps: the generation and verification of candidate keyword sets, and then two improved query algorithms Inc and Dec are proposed. Inc is proposed considering the anti-monotonity property of attributed bipartite graphs, then we adopt different generating method and verifying order of candidate keyword sets and propose the Dec algorithm. After evaluating our solutions on eight large graphs, the experimental results demonstrate that our methods are effective and efficient in querying the attributed communities on bipartite graphs.