A survey of signed network mining in social media

J Tang, Y Chang, C Aggarwal, H Liu - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

Evolutionary computation for community detection in networks: A review

C Pizzuti - IEEE Transactions on Evolutionary Computation, 2017 - ieeexplore.ieee.org
In today's world, the interconnections among objects in many domains are often modeled as
networks, with nodes representing the objects and edges the existing relationships among …

A multiobjective evolutionary algorithm based on similarity for community detection from signed social networks

C Liu, J Liu, Z Jiang - IEEE transactions on cybernetics, 2014 - ieeexplore.ieee.org
Various types of social relationships, such as friends and foes, can be represented as
signed social networks (SNs) that contain both positive and negative links. Although many …

A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions

AA Bara'a, AD Abbood, AA Hasan, C Pizzuti… - Swarm and Evolutionary …, 2021 - Elsevier
Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

A survey on network community detection based on evolutionary computation

Q Cai, L Ma, M Gong, D Tian - International Journal of Bio …, 2016 - inderscienceonline.com
Uncovering community structures of a complex network can help us to understand how the
network functions. Over the past few decades, network community detection has attracted …

A multi-agent genetic algorithm for community detection in complex networks

Z Li, J Liu - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
Complex networks are popularly used to represent a lot of practical systems in the domains
of biology and sociology, and the structure of community is one of the most important …

An improved density peaks-based clustering method for social circle discovery in social networks

M Wang, W Zuo, Y Wang - Neurocomputing, 2016 - Elsevier
With the development of Internet, social networks have become important platforms which
allow users to follow streams of posts generated by their friends and acquaintances …

Is a comparison of results meaningful from the inexact replications of computational experiments?

M Črepinšek, SH Liu, L Mernik, M Mernik - Soft Computing, 2016 - Springer
The main objective of this paper is to correct the unreasonable and inaccurate criticism to
our previous experiments using Teaching–Learning-Based Optimization algorithm and to …

Size matters: A comparative analysis of community detection algorithms

P Wagenseller, F Wang, W Wu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Understanding the community structure of social media is critical due to its broad
applications such as friend recommendations, user modeling, and content personalization …

A fast community detection algorithm based on reconstructing signed networks

C Xia, Y Luo, L Wang, HJ Li - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
Signed networks depict the individual cooperative or hostile relationship in a population,
which can help to deeply mine the characteristics of complex networks and predict the …