本文選題：大數(shù)據(jù)　切入點：計算社會科學　出處：《圖書館學研究》2017年22期 　論文類型：期刊論文

【摘要】：大數(shù)據(jù)時代的數(shù)據(jù)累積與技術(shù)進步,為計算社會科學的發(fā)展奠定了新的契機,大數(shù)據(jù)計算也取代社會模擬成為計算社會科學的核心議題。社會科學大數(shù)據(jù)計算,依托最新的大數(shù)據(jù)分析處理技術(shù),致力于從符合社會研究需要的數(shù)據(jù)海洋中挖掘、清洗出有價值的"知識數(shù)據(jù)",并在此基礎(chǔ)上展開科學分析與知識發(fā)現(xiàn)。當前,電子蹤跡、社交媒體、數(shù)字文本與空間位置信息是4種最具代表性的社會科學大數(shù)據(jù)類型,它們已被廣泛應(yīng)用于諸多社會研究領(lǐng)域之中,在推動數(shù)據(jù)分析方法創(chuàng)新的同時,也極大地拓展了社會科學的研究視野。盡管仍面臨著數(shù)據(jù)、技術(shù)、知識邊界和社會倫理等方面的種種限制,社會科學大數(shù)據(jù)計算的發(fā)展?jié)摿o疑是巨大的。
[Abstract]:The accumulation of data and the advancement of technology in big data's time have laid a new opportunity for the development of computational social sciences. Big data computing has also replaced social simulation as the core topic of computational social sciences. Relying on the latest analysis and processing technology of big data, we are committed to excavating and cleaning out valuable "knowledge data" from the ocean of data that meets the needs of social research, and on this basis to carry out scientific analysis and knowledge discovery. Social media, digital text and spatial location information are the four most representative types of social science big data. They have been widely used in many fields of social research, while promoting the innovation of data analysis methods. Despite the limitations of data, technology, knowledge boundary and social ethics, big data's computing potential is undoubtedly enormous.
【作者單位】： 武漢大學社會學系;
【基金】：國家社科基金重大項目“大數(shù)據(jù)時代計算社會科學的產(chǎn)生、現(xiàn)狀與發(fā)展前景研究”(項目編號:16ZDA086)的研究成果之一
【分類號】：C1
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本文編號：1570990