In　cache-enabled　device-to-device　(D2D)　cellular　networks,　efficient　utilization　of　mobile　terminal　cache　storage　reduces　peak　traffic　demands　and　has　a　substantial　impact　on　network　performance.　The　combined　impact　of　centrality　value　and　cache　memory　size　of　user　equipment　(UE)　are　two　crucial　factors　in　D2D　network,　which　are　ignored　in　the　existing　researches.　In　this　paper,　an　optimization　algorithm　is　proposed　to　calculate　the　value　of　effect　centrality　(EC)　to　maximize　the　cache　storage　utilization　considering　various　locations　and　preference　of　UEs.　Firstly,　users　are　clustered　according　to　location,　and　users　in　the　cluster　form　a　multi-layer　social　network　according　to　the　preference　of　the　requested　content.　Then　based　on　the　user’s　location,　the　effect　centrality　value　is　calculated,　and　the　general　mathematical　expressions　for　the　optimization　of　cache　storage　utilization　with　the　constraints　of　effect　centrality　value　and　total　cache　storage　is　obtained.　Subsequently,　a　Cache　Storage　Allocation　(CSA)　algorithm　is　proposed　to　obtain　the　cache　storage　utilization　by　taking　the　value　of　effect　centrality　as　a　variable.　Simulation　results　show　that　the　size　of　the　effect　centrality　value　will　affect　the　utilization　of　the　user’s　cache　storage.　Compared　with　the　other　two　traditional　methods,　the　proposed　CSA　can　achieve　the　highest　cache　storage　utilization.　©　2021,　ICST　Institute　for　Computer　Sciences,　Social　Informatics　and　Telecommunications　Engineering.