diff --git a/src/find_interaction_cluster/nt_and_community.py b/src/find_interaction_cluster/nt_and_community.py
index a899ebacebbc8e6656cbd03ff3772f3e2809f911..9046ae96d4159f1fec2647201cde512f5c9e23c3 100644
--- a/src/find_interaction_cluster/nt_and_community.py
+++ b/src/find_interaction_cluster/nt_and_community.py
@@ -407,7 +407,7 @@ def get_stat_nt_communities(df: pd.DataFrame, project: str, weight: int,
                                              global_weight,
                                              same_gene, feature,
                                              f"{nt}_stat_{test_type}.txt",
-                                             "sf_community_enrichment")
+                                             "community_enrichment")
     nfolder = outfile.parent / "nt_analysis"
     nfolder.mkdir(exist_ok=True, parents=True)
     noutfile = nfolder / outfile.name
@@ -420,7 +420,7 @@ def get_stat_nt_communities(df: pd.DataFrame, project: str, weight: int,
                                                   same_gene, feature,
                                                   f"{nt}_VS_CTRL_stat_"
                                                   f"{test_type}.txt",
-                                                  "sf_community_enrichment")
+                                                  "community_enrichment")
     if test_type == "lmm":
         rdf = lmm_with_ctrl(df, feature, region, nt, outfile)
     else:
@@ -537,7 +537,7 @@ def multiple_nt_lmm_launcher(ps: int,
     for project, weight, nt in condition:
         nfile_table = ConfigGraph.get_community_file(
             project, weight, global_weight, same_gene, feature,
-            f"_nt_table.txt", "sf_community_enrichment")
+            f"_nt_table.txt", "community_enrichment")
         df.to_csv(nfile_table, sep="\t", index=False)
         args = [df, project, weight, global_weight, same_gene, nt, df_ctrl,
                 dic_com, feature, region, test_type, iteration]
@@ -551,7 +551,7 @@ def multiple_nt_lmm_launcher(ps: int,
                                              global_weight,
                                              same_gene, feature,
                                              f"lmm-nt_stat.txt",
-                                             "sf_community_enrichment")
+                                             "community_enrichment")
     nfolder = outfile.parent / "nt_analysis"
     noutfile = nfolder / outfile.name
     fdf.to_csv(noutfile, sep="\t", index=False)