With　the　COVID-19　epidemic　having　a　profound　impact　on　global　population　mobility　patterns,　this　study　aims　to　explore　the　new　pattern　of　population　mobility　in　China　after　the　end　of　the　epidemic.　Based　on　Baidu　migration　data,　this　study　uses　the　Intercity　Population　Transcendence　Index　(S-index)　and　Louvain　Community　Discovery　Algorithm　to　calculate　urban　centrality　and　detect　communities　in　366　cities　in　China.　The　study　found　that:　after　the　full　unsealing　of　the　epidemic,　urban　centrality　rose　overall;　rankings　in　the　west　and　northeast　generally　rose,　while　rankings　in　the　central　and　southeastern　coastal　regions　fell;　rankings　in　the　south　and　north　generally　rose,　and　cities　in　the　central　region　fell;　the　number　of　cohesive　communities　fell,　and　communities　became　more　connected,　with　interprovincial　fringe　cities　interacting　more　closely　with　neighbouring　provinces.　©　2024　Copyright　held　by　the　owner/author(s).