<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 26 Jun 2026 09:30:39 GMT</lastBuildDate><atom:link href="https://ecency.com/created/webometrics/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[홈페이지 빅데이터로 본 암호화폐 관계망과 신용가치]]></title><description><![CDATA[Journal of the Korean Data Analysis Society (April 2018) Vol. 20, No. 2, pp. 923-936 웹보메트릭스 빅데이터를 활용한 암호화폐 홈페이지의 영향력과 연결망분석* 박한우1, 박세정21) 요 약 이 연구는 웹보메트릭스 빅데이터 기법을 활용한 암호화폐 온라인 영향력을 조사했다. 구체적 으로 2017년]]></description><link>https://ecency.com/@nurse-tree/12enwd</link><guid isPermaLink="true">https://ecency.com/@nurse-tree/12enwd</guid><category><![CDATA[cryptocurrency]]></category><dc:creator><![CDATA[nurse-tree]]></dc:creator><pubDate>Fri, 25 May 2018 20:59:33 GMT</pubDate></item></channel></rss>