The　Sino-U.S.　relationship　is　one　of　the　most　important　bilateral　relationships　in　the　literature　of　global　geopolitics.　Not　only　the　two　countries,　but　also　other　nations　in　the　relevant　regions　have　been　influenced　by　their　economic,　cultural,　political,　educational,　and　diplomatic　relations.　In　this　paper,　we　have　applied　Visibility　Graph　as　the　method,　analyzed　the　data　from　Baidu　searching　index　of　the　keyword　＇Sino-U.S.　relations＇　from　2011　to　2021　into　a　directionless　and　authoritarian　network,　and　studied　its　dynamic　characteristics.　from　the　time　series　data,　it　has　been　found　that　the　relationship　between　the　data　is　closer　with　more　edges,　greater　degrees,　and　greater　clustering　coefficients.　Meanwhile,　the　shorter　the　average　path　length,　the　closer　the　relationship　between　the　data.　The　results　provide　a　new　perspective　for　analyzing　the　time　series　characteristics　of　Sino-U.S.　relations.　Copyright　©　2023　Chen,　Wang　and　Weng.