本文選題：反腐 + 腐敗團(tuán)伙　； 參考：《系統(tǒng)工程理論與實(shí)踐》2017年07期

【摘要】：腐敗嚴(yán)重影響社會發(fā)展和民眾信心,本文獲取中紀(jì)委反腐通告、"天涯雜談"新發(fā)帖和"百度熱搜新聞詞"三種不同來源的互聯(lián)網(wǎng)文本語料從多個視角分析十八大以來的反腐成果.使用LDA話題模型探測不同語料中的反腐話題,并對語料的時空特性進(jìn)行分析,通過官員履歷構(gòu)建"官員共職網(wǎng)絡(luò)"探索腐敗官員團(tuán)伙并結(jié)合時間、級別和領(lǐng)域信息分析高級別官員的反腐策略.結(jié)果表明,腐敗官員相關(guān)的不同語料的時空分布不同且涉及的腐敗相關(guān)話題的重點(diǎn)不同,"官員共職網(wǎng)絡(luò)"對于研究腐敗官員的復(fù)雜關(guān)系具有重要意義.
[Abstract]:Corruption seriously affects social development and public confidence, This article obtains three kinds of Internet text data from different sources, such as the anti-corruption notice of the Central discipline Inspection Commission, the new posting of "Tianyaodan" and the "Baidu Hot search News word", and analyzes the anti-corruption achievements since the 18th National Congress of the Communist Party of China from different angles. Using the LDA topic model to explore the anti-corruption topic in different corpus, and to analyze the temporal and spatial characteristics of the corpus, through the official curriculum vitae to build "official network" to explore corrupt official groups and combine time, Level and domain information analysis of senior officials 'anti-corruption strategies. The results show that the temporal and spatial distribution of different corruption-related materials and the emphasis of corruption-related topics are different, and the "official network" is of great significance to the study of the complex relationship of corrupt officials.
【作者單位】： 中國科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院;
【基金】：國家重點(diǎn)研發(fā)計(jì)劃基金項(xiàng)目(2016YFB1000902) 國家自然科學(xué)基金(61473284,71371107)~~
【分類號】：D262.6;TP391.1
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本文編號：1941010