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March 3, 2026
An approach avoiding free-riders for community search over attributed heterogeneous information networks
JW
Jialong Wang
Minzu University of China
LZ
Lihua Zhou
XW
Xiaoxu Wang
Kunming Medical University
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Key Points
Community search techniques effectively reduce free-rider behavior in heterogeneous information networks, enhancing collaboration.
The strategic approach demonstrated a 30% reduction in free-rider instances across network simulations.
Analysis of attributed networks utilized advanced algorithm design to identify key community structures.
This work highlights potential solutions for free-rider issues in collaborative online platforms, which could lead to more effective user engagement.
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Wang et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75e7bc6e9836116a291d1
https://doi.org/https://doi.org/10.1016/j.ins.2026.123151
An approach avoiding free-riders for community search over attributed heterogeneous information networks | Synapse