K-Core Maximization through Edge Additions

06/27/2019
by   Zhongxin Zhou, et al.
0

A popular model to measure the stability of a network is k-core - the maximal induced subgraph in which every vertex has at least k neighbors. Many studies maximize the number of vertices in k-core to improve the stability of a network. In this paper, we study the edge k-core problem: Given a graph G, an integer k and a budget b, add b edges to non-adjacent vertex pairs in G such that the k-core is maximized. We prove the problem is NP-hard and APX-hard. A heuristic algorithm is proposed on general graphs with effective optimization techniques. Comprehensive experiments on 9 real-life datasets demonstrate the effectiveness and the efficiency of our proposed methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/18/2020

Building large k-cores from sparse graphs

A popular model to measure network stability is the k-core, that is the ...
research
05/31/2018

A Parameterized Complexity View on Collapsing k-Cores

We study the NP-hard graph problem Collapsed k-Core where, given an undi...
research
01/08/2019

K-Core Minimization: A Game Theoretic Approach

K-cores are maximal induced subgraphs where all vertices have degree at ...
research
12/31/2022

Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure

The concept of k-core, which indicates the largest induced subgraph wher...
research
07/10/2023

Parameterised distance to local irregularity

A graph G is locally irregular if no two of its adjacent vertices have t...
research
08/05/2020

Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs

We propose a novel cohesive subgraph model called τ-strengthened (α,β)-c...
research
02/17/2023

Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank

Existing temporal community search suffers from two defects: (i) they ig...

Please sign up or login with your details

Forgot password? Click here to reset