The　era　of　big　data　provides　a　favorable　condition　for　the　study　of　news　report　and　public　opinions.　By　using　keyword　search,　language　processing,　data　mining　and　information　techniques,　websites,　blogs,　forums　can　be　further　analyzed　for　public　opinion　monitor　and　precisely　guidance.　Thus,　in　this　paper,　we　propose　a　novel　ranking　methodology　for　object　or　propaganda　summary　generation,　i.e.,　ValueRank,　which　incorporates　tuples　values　in　authority　flow　and　facilitating　the　approximation　of　importance　for　arbitrary　databases.　According　to　ObjectRank　and　other　PageRank　fashioned　techniques　that　consider　solely　authority　flow　through　relationships　and　therefore　their　effectiveness　is　limited　on　bibliographic　databases.　Experimental　evaluation　on　DBLP　and　Northwind　databases　verified　the　effectiveness　and　efficiency　of　our　proposed　approach.