In　this　paper,　based　on　cellular　automata,　a　virus　spread　model,　is　proposed　to　investigate　the　virus　spreading　in　weighted　scale-free　networks.　In　this　model,　each　node　of　the　network　can　be　in　one　of　four　states:　susceptible,　exposed,　infective　and　recovered.　The　transition　rate　from　S　to　E　of　each　susceptible　node　is　related　to　its　neighbors＇　states　and　its　connected　weights　with　neighbors.　Through　some　useful　results　obtained　by　the　analysis　and　simulations,　we　can　understand　virus　spreading　in　weighted　scale-free　networks　better.