Dragonfly network is widely used in modern high-performance computing systems. On this network, however, interference caused by network sharing can lead to significant network congestion and degraded performance. In this work, we present a comparative analysis of intra-application interference on applications with nearest neighbor communication, considering various placement strategies. Our results demonstrate that intra-application interference is basically a trade-off between localized communication and balanced network. We further develop alternative job placement policies with the objective to balance the trade-off between localized communication and balanced network. The results demonstrate that our proposed strategies can effectively balance the trade-off and hence reduce intra-application interference on Dragonfly network.