{"published":"2013-11-15 00:00:00","provider_name":"Hatena Blog","type":"rich","provider_url":"https://hatena.blog","description":"\u6982\u8981 \u30b9\u30b1\u30fc\u30eb\u30d5\u30ea\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u30e9\u30f3\u30c0\u30e0\u30a6\u30a9\u30fc\u30af \u3042\u308b\u6b21\u6570 k \u3078\u306e\u5230\u9054\u306e\u3057\u3084\u3059\u3055\u3092 3 \u30d1\u30bf\u30fc\u30f3\u306b\u5206\u3051\u308b \u7528\u8a9e\uff06\u65e2\u5b58\u306e\u7d50\u679c \u30b9\u30da\u30af\u30c8\u30eb\u6b21\u5143 \u30b9\u30da\u30af\u30c8\u30eb\u6b21\u5143 d_s \u306f \u03c1(\u03bb) \u301c \u03bb^{d_s / 2 - 1} \u03c1(\u03bb) \u306f\u56fa\u6709\u5024\u306e\u5206\u5e03\uff08\u78ba\u7387\u5bc6\u5ea6\u95a2\u6570\uff09 RTO (return to the origin) probability R(t) t \u30b9\u30c6\u30c3\u30d7\u5f8c\u306b\u5143\u306e\u9802\u70b9\u306b\u623b\u308b\u78ba\u7387 R(t) \u301c t^{-d_s / 2} R_m(t)\uff1a\u9802\u70b9 m \u306b\u95a2\u3059\u308b\u3082\u306e \u540c\u30b0\u30eb\u30fc\u30d7 PRE'12\uff1aR_m(t) \u306f 3 \u30d5\u30a7\u30fc\u30ba\u306b\u5206\u304b\u308c\u308b\u3068\u304b FPT F_{mi}(t) := m \u304b\u3089 i GFPT F_m\u2026","author_name":"iwiwi","height":"190","blog_url":"https://iwiwi.hatenadiary.jp/","categories":[],"author_url":"https://blog.hatena.ne.jp/iwiwi/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fiwiwi.hatenadiary.jp%2Fentry%2F2013%2F11%2F22%2F134714\" title=\"First Passage Time for Random Walks in Heterogeneous Networks (PRL&#39;12) - iwiwi \u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"url":"https://iwiwi.hatenadiary.jp/entry/2013/11/22/134714","width":"100%","title":"First Passage Time for Random Walks in Heterogeneous Networks (PRL'12)","blog_title":"iwiwi \u5099\u5fd8\u9332","version":"1.0"}