課程基本信息(Course Information) |
開課學(xué)院(School) |
管理科學(xué)與工程學(xué)院 |
課程代碼(Course Code) |
0710389 |
課程名稱 |
社會(huì)網(wǎng)絡(luò)分析 |
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Social Network Analysis |
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學(xué)分(Credits) |
3 |
學(xué)時(shí)(Credit Hours) |
48 |
學(xué)時(shí)分配 |
理論教學(xué) 24 學(xué)時(shí);實(shí)驗(yàn) 24 學(xué)時(shí);實(shí)踐 學(xué)時(shí);線上 學(xué)時(shí) |
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授課對(duì)象(Audience) |
大數(shù)據(jù)管理與應(yīng)用專業(yè);管理科學(xué)專業(yè)等 |
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授課語(yǔ)言(Language) |
全漢語(yǔ) |
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先修課程 (Prerequisite) |
高等數(shù)學(xué)、Python大數(shù)據(jù)分析基礎(chǔ) |
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授課教師(Instructor) |
遲鈺雪 |
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課程網(wǎng)址 (Course Webpage) |
無(wú) |
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課程類型(Type) |
理論課/獨(dú)立設(shè)置實(shí)驗(yàn)課 |
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課程歸屬(Category) |
專業(yè)教育-商業(yè)與管理 |
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課程簡(jiǎn)介(Description) |
大數(shù)據(jù)時(shí)代,以網(wǎng)絡(luò)結(jié)構(gòu)存儲(chǔ)的數(shù)據(jù)日益普遍,社會(huì)網(wǎng)絡(luò)分析因此迅速發(fā)展,并受到公眾、領(lǐng)域?qū)W者和政策制定者的廣泛關(guān)注。當(dāng)前,在線社會(huì)網(wǎng)絡(luò),例如微信、微博等的流行對(duì)社會(huì)網(wǎng)絡(luò)分析帶來(lái)了革命性的變革。無(wú)論是在線社區(qū)中的人際互動(dòng),還是線下與線上社會(huì)網(wǎng)絡(luò)的交互及其對(duì)個(gè)體、組織和社會(huì)的多層次影響,都使得網(wǎng)絡(luò)分析成為理解社會(huì)結(jié)構(gòu)及其他領(lǐng)域問(wèn)題的重要視角。本課程是一門面向本科階段、強(qiáng)調(diào)學(xué)科交叉的專業(yè)課程,旨在系統(tǒng)介紹社會(huì)網(wǎng)絡(luò)分析的基本概念、分析思路、網(wǎng)絡(luò)結(jié)構(gòu)數(shù)據(jù)挖掘方法以及領(lǐng)域應(yīng)用實(shí)踐。課程還將融入系統(tǒng)化思維方法,幫助學(xué)生構(gòu)建全面的分析能力。 |
In the era of big data, data stored in network structures has become increasingly common, leading to the development of social network analysis, which has garnered growing attention from the public, scholars, and policymakers. Currently, the popularity of online social networks such as WeChat, Weibo, has brought revolutionary changes to social network analysis. The interpersonal interactions within online communities, as well as the interactions between offline and online social networks and their impacts on individuals, organizations, and society, have made network analysis an essential perspective for understanding issues in various fields, including social structure. This course is an interdisciplinary undergraduate course designed to provide fundamental concepts of social network analysis, analytical approaches, network structure data mining methods, and practical applications in the field. The course will also incorporate systematic thinking methods to help students develop comprehensive analytical skills. |
課程目標(biāo)(Course Objectives) |
在這門課程里,學(xué)生將會(huì)學(xué)習(xí):1)社會(huì)網(wǎng)絡(luò)分析的基本概念和理論;2)如何基于大數(shù)據(jù)構(gòu)建社會(huì)網(wǎng)絡(luò),以及常用的社會(huì)網(wǎng)絡(luò)分析指標(biāo)的基本原理和計(jì)算方法;3)鏈路預(yù)測(cè)、社團(tuán)劃分等經(jīng)典任務(wù);4)網(wǎng)絡(luò)科學(xué)前沿技術(shù)和科研動(dòng)向。 通過(guò)學(xué)習(xí)這門課程,學(xué)生將會(huì)理解網(wǎng)絡(luò)的基本概念和模型、分析社會(huì)網(wǎng)絡(luò)數(shù)據(jù)及解釋結(jié)果、結(jié)合現(xiàn)實(shí)議題運(yùn)用網(wǎng)絡(luò)分析的視角和技術(shù)開展研究。 |


