As　a　widely　used　technique　for　discovering　developmental　trajectory　of　a　specific　field　of　science　and　technology,　main　path　analysis　armed　with　global　search　strategy　prefers　longer　citation　paths　rather　than　shorter　ones.　An　obvious　feature　of　longer　main　paths　is　that　the　theme　of　documents　may　not　be　so　coherent,　though　longer　paths　may　provide　more　details　on　the　development　of　a　field　than　shorter　ones.　Thereupon,　a　new　measure,　named　as　intermediacy,　was　proposed　in　the　literature　for　recognising　important　scientific　publications.　However,　the　intermediacy　is　only　applicable　to　the　citation　network　with　one　single　target　node　and　one　single　source　node.　For　purpose　of　loosening　this　limitation　of　the　intermediacy　and　benefitting　from　main　path　analysis　and　intermediacy,　this　work　raises　an　alternative　approach　for　discovering　developmental　trajectory　by　combining　node　importance　and　edge　importance　via　edge　and　node　integrated　modes.　Extensive　experimental　results　on　the　weak　signals　and　education　fields　indicate　that　similar　trajectories　can　be　obtained　through　these　two　integrated　modes,　and　richer　implications　can　be　encoded　in　our　discovered　trajectories　than　those　from　main　path　analysis　and　intermediacy.　In　addition,　our　framework　is　able　to　scale　very　well　to　a　large　citation　network.