With the development of big data and artificial intelligence technology，Research paradigms in the field of social sciences also changes new，Combination of big data and social science、Disciplinary communication and dialogue has become an academic hotspot。The 2020 International CONFERENAL COMPUTING CONFERENGE of Tsinghua University Social Network Research Center and the School of Information of Renmin University of China and the School of Information of Renmin University of China.，From China、United States、18 scholars in the field of computing sociology in Germany calculate social sciences、Big data mining、Fintech、Public health and other topics conducted academic reports and communication。The meeting aims to promote computer science、Statistics、Social Science、Management、Finance、Dialogue and cross -border innovation between disciplines and other disciplines。

The development of existing technology has further stimulated the dynamic interaction between the new artificial intelligence computing and the socialization of human beings，The scope of social computing (Social Computing) from depth and breadth，A deeper interaction between society and computing research。James Evans, Department of Sociology at the University of Chicago, first reviewed the history of computational sociology，At the same time, a new preview AI definition is given -Alien Intelligences，Innovation of a non -person，bet365 Play online games Instead of intelligence that emerges in the group or emerges in the interaction between the group)，That is not only learning human behavior，It can be enlarged at the same time、Different from human intelligence。Therefore，Calculate social science、interaction between man -machine，Including Human-Computer Interaction and people-centered computing (Human-Centered Computing)。Last，Evans introduced an article published in the magazine published in Nature in 2019，It is expressed in the vector space through the，It can be predicted that 40%of the matter and its nature of the next 20 years of research can be predicted，reveals the major impact of machines on human future innovation。

Strengthening learning will create a trading entity beyond human understanding，This research has become an important issue for today and the future。David Wolpert of the St. Saint -Philippine Institute shared the research of the Economic 2.0 era based on the research of Automated Learning Agents International。In the past, the rules of design financial trading were too simple，Cooperation and interaction between trading subjects is difficult to predict and understand，There will be a collapse。Its research mainly uses the use of Turing -General algorithms and strengthens learning design smart contracts，can reduce litigation risk，A coordinated autonomy can be reached between intelligent subjects，Dynamic creation or correction contract with open nature and binding force。In addition，Songhua of Renmin University of China reported on the study based on machine learning methods to conduct supply chain financial bet365 best casino games financing.，Tianjin University Shen Dehua introduced related research on financial big data and financial markets，Zhongshan University Wei Lijian showed the analysis of the calculation experiment of the P2P online loan risk mechanism and its revelation of the Internet credit，Yang Hu from the Central University of Finance and Economics reported the study of identifying the leadership of the venture capital industry in multiple social networks，Zhang Lun, Beijing Normal University, introduced the dynamic development research on market competition and monopoly concepts。

Big data research with complex and dynamic networks in the field of social networks，Gradually becoming sociology、Management、academic innovation fields combined with computer science and system science。The Department of Sociology at Tsinghua University Luo Jiade Based on the combination of employees' social network big data and structured human resources database，From the perspective of the social network, the impact of employees' establishment of "Bridging Tie" or "Banding Tie" on its performance on its performance。Based on structural hole theory，further explore whether the position of employees in the organizational leadership circle will have a structural hole effect，That is to establish a "bridge connection" between different circles，Effects。Finally discovered that in the organizational situation of China，According to the Chinese native humanity、Relationship、Organization and leadership circle divided by Face theory，Member of the core layer、Three different members of the members and outsiders in the circle should follow different strategies to establish a "bridge connection" Bet365 lotto review in the organization。Where，Core layer members and members in the circle of leadership circle，Since there is a high degree of trust with the leader，Principles with mutual benefit and obligations，Therefore, you need to maintain higher loyalty，Establishing a "strap connection" is more conducive to its high performance。Members outside the organizational leader circle，Due to smaller restrictions，You can get higher performance by establishing "bridge connection"。other，Fudan University Chen Yang reported the study of "structural holes" in online social networks，Lu Linyuan, University of Electronic Science and Technology, reported the algorithm study of identifying complex network structures，Steffen STAAB University of Stuttgart University introduced how to use social data to make case decisions，Xinyue Ye, a Texas University of Agricultural Engineering, reported "Network、Streaming and Human Dynics "research，LAV VARSHNEY, University of Illinois, shared the research results of establishing virtual agricultural networks based on the digital community trust mechanism。

Unequedness in social sciences is also an important issue for attention in the field of social computing。Fu Xiaoming, the School of Computer, the University of Gosteen, introduced the research of using big data to predict social and economic status，Where，Social and economic status indicator (SES， Social Economic Status INDEX) is an indicator that reflects a person or a family society and economic level。This research uses 7919137 Shanghai Citizen Metro Card 16 -day travel records，Family address of the sample by speculating the sample，and combined bet365 Play online games with the chain home house price data，Divide the sample as high、Middle、The socio -economic status of the three levels of the low as the root is the truth，Finally, combine these subway card travel time sequence data with Gaode POI data，Calculate the movement trajectory and law of the personnel under the time sequence、Big data indicators such as diversity of mobile locations to refine deep learning models，Forecast accuracy can reach up to 69%。Some scholars are concerned about inequality and minority groups，Zhou Tao, the University of Electronic Science and Technology, studied gender inequality under data drive，Nanjing University Chen Yunsong uses machine learning methods to estimate the population ratio of the specialties in Chinese youth。

The theme of the new crown pneumonia 2019，Some scholars conducted in -depth research and analysis of public emotions and public management during the epidemic situation。Pan Hui from the Department of Computer Science and Engineering of the University of Science and Technology of Hong Kong conducted emotional analysis and government information dissemination analysis of data on social media during social media during the epidemic of new crown pneumonia。Based on January 2020 to May May Twitter 17371148 37 million epidemic -related data generated by American users，Methods of the construction method of the crisis thesaurus，PlutChik ’s Wheel of Emotion with PlutChik’ s Wheel of Emotion，and analyzed the keywords and theme labels corresponding to 8 basic emotions through the theme model。Facebook data from 17 countries (regions) from November 2019 to August 2020 analyzed Bet365 lotto review the new coronary pneumonia epidemic，Types and media types of information published by the official accounts of various countries (regions)，Research shows that linked social media emotional and current affairs analysis can reflect public needs，On -site live broadcast features in social media can enhance public participation。Other scholars who introduced the new crown pneumonia epidemic are: Daniel Acuna University of Schala Chuzt introduced it during the 2019-NCOV spread，Research on the complex mode measurement in the picture; Huang Hong, Huazhong University of Science and Technology reported "China in the eyes of the news media: the research under the new crown pneumonia epidemic"; Mobility Model)。

other，Other scholars shared on related research on big data drivers and theoretical drives。In the issue of political science，Tsinghua University Meng Tianguang used Weibo social media dataset to explore the national identity of digital space、Patriotism and nationalism issues，The University of Chicago, Shilin Jia, introduced its research on the transformation of the "People's Daily" from 1946-2003。Also includes communication、Studies related to social networks and big data，Zhenglu, Tsinghua University studied the spread of charity in social media，Ishanu Chattopadhyay University of Chicago introduced the research on the formation and dissemination of faith in the collective。Others also include psychology，Li Wenzhong, Nanjing University, introduced the study based on smartphone data binding deep learning methods to predict personal personality。About online learning，Alexander Mehler at Frankfurt University reported the method of Bet365 lotto review using the method of using the knowledge network to explore the restrictions of online learning。

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