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20212026
most citedMaximizing Influence of Leaders in Social Networks

17 citations · 27 across the 11 of their papers we have counts for

collaborators

12 papers

cs.SI2026

Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model

Haoxin Sun, Yubo Sun, Xiaotian Zhou +1

In this paper, we address the problem of fast computation and optimization of opinion-based quantities in the Friedkin-Johnsen (FJ) model. We first introduce the concept of partial…

cs.SI2025

Promoting Fairness in Information Access within Social Networks

Changan Liu, Xiaotian Zhou, Ahad N. Zehmakan +1

The advent of online social networks has facilitated fast and wide spread of information. However, some users, especially members of minority groups, may be less likely to receive…

cs.DM2025★ 7 cited

Efficient Algorithms for Minimizing the Kirchhoff Index via Adding Edges

Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang

The Kirchhoff index, which is the sum of the resistance distance between every pair of nodes in a network, is a key metric for gauging network performance, where lower values signi…

cs.SI2024

Fast Computation for the Forest Matrix of an Evolving Graph

Haoxin Sun, Xiaotian Zhou, Zhongzhi Zhang

The forest matrix plays a crucial role in network science, opinion dynamics, and machine learning, offering deep insights into the structure of and dynamics on networks. In this pa…

cs.SI2024

Friedkin-Johnsen Model for Opinion Dynamics on Signed Graphs

Xiaotian Zhou, Haoxin Sun, Wanyue Xu +2

A signed graph offers richer information than an unsigned graph, since it describes both collaborative and competitive relationships in social networks. In this paper, we study opi…

cs.SI2023★ 1 cited

Viral Marketing in Social Networks with Competing Products

Ahad N. Zehmakan, Xiaotian Zhou, Zhongzhi Zhang

Consider a directed network where each node is either red (using the red product), blue (using the blue product), or uncolored (undecided). Then in each round, an uncolored node ch…

cs.MA2023

Optimization on the smallest eigenvalue of grounded Laplacian matrix via edge addition

Xiaotian Zhou, Haoxin Sun, Wei Li +1

The grounded Laplacian matrix $\LL_{-S}$ of a graph $\calG=(V,E)$ with nodes and edges is a submatrix of its Laplacian matrix $\LL$, obtained fr…

cs.SI2023

A Fast Algorithm for Moderating Critical Nodes via Edge Removal

Changan Liu, Xiaotian Zhou, Ahad N. Zehmakan +1

Critical nodes in networks are extremely vulnerable to malicious attacks to trigger negative cascading events such as the spread of misinformation and diseases. Therefore, effectiv…

cs.IT2021★ 2 cited

Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix

Run Wang, Xiaotian Zhou, Wei Li +1

For a connected graph with nodes, edges, and Laplacian matrix , a grounded Laplacian matrix of $\m…

cs.SI2021★ 17 cited

Maximizing Influence of Leaders in Social Networks

Xiaotian Zhou, Zhongzhi Zhang

The operation of adding edges has been frequently used to the study of opinion dynamics in social networks for various purposes. In this paper, we consider the edge addition proble…

math.CO2021

Edge Domination Number and the Number of Minimum Edge Dominating Sets in Pseudofractal Scale-Free Web and Sierpiński Gasket

Xiaotian Zhou, Zhongzhi Zhang

As a fundamental research object, the minimum edge dominating set (MEDS) problem is of both theoretical and practical interest. However, determining the size of a MEDS and the numb…

cs.CG2021

Some Combinatorial Problems in Power-law Graphs

Jiang Che, Xu Wanyue, Zhou Xiaotian +2

The power-law behavior is ubiquitous in a majority of real-world networks, and it was shown to have a strong effect on various combinatorial, structural, and dynamical properties o…