Heatwaves　are　increasingly　frequent　and　severe,　prompting　international　research　concerns.　This　study　utilized　the　Visibility　Graph　to　construct　complex　networks　(CNs)　of　heatwaves　in　China.　From　a　CN　perspective,　we　analyzed　the　spatial　and　temporal　variability　and　hazard　patterns　of　heatwaves,　with　a　focus　on　their　reliability　and　advantages.　Our　findings　indicate　that　heatwaves　in　China　have　exhibited　a　consistent　overall　increasing　trend　since　1961,　with　a　more　significant　rise　observed　in　the　past　30　years.　Notably,　there　are　substantial　variations　in　the　changes　and　severity　of　heatwaves　experienced　in　different　regions　and　decades,　with　southern　China　experiencing　higher　heatwaves　hazards　compared　to　central　China　where　they　are　relatively　lower.　The　utilization　of　CNs　has　demonstrated　remarkable　advantages　in　anomaly　detection,　change　phase　delineation,　analysis　of　connections　between　meteorological　stations,　and　selection　of　representative　values.　And,　CNs　enable　the　incorporation　of　both　heatwave　changes　and　severity　in　hazard　zoning.　The　results　of　this　study　provide　new　methods　and　perspectives　for　researching　climate　extremes,　and　they　establish　a　solid　foundation　for　more　comprehensive　and　accurate　heatwave　hazard　prevention　in　China.