In the field of social science and big data、Cross -sex studies combined with artificial intelligence have been widely recognized by academic and industrial circles，New research issues in complex systems、Research methods and research trends have become issues that scholars continue to explore in this field。sponsored by the School of Social Sciences at Tsinghua University、The third social computing international conference hosted by Tsinghua University Social Network Research Center was successfully held in a combination of online and offline，Experts and scholars from the meeting around complex research、Social computing and other topics conducted academic reports and communication。The meeting aims to track cutting -edge research in the field，Promoting social science、Computer Science、Deep integration and innovation in the fields of statistics。

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Complex、The integration of big data and social computing is the cutting -edge cross -study research in this field，Including ABM (Agent-Based Modeling) method、Network representation and dynamic modeling、Simulation simulation based on micro data to build social theory、Research on complex evolution of organizational behavior。

where，Methods about the combination of complex research and subject modeling，New York University Joshua Epstein shared the genetic social science research based on neuropiacation base-Zero。Agent-Zero is a subject with accuracy and computability，It contains bet365 best casino games emotionality、Three modules of limited rationality and social，interaction between the internal modules produces observable individual behavior，interaction between multiple subjects can generate collective dynamics，Ru conflict、Social Psychology and Law。Research on Multi -subject to perform simulation simulation experiments，Set up escape、Attack、Rejecting immunity and other behaviors，Fear learning rate、Memory windows and thresholds and other parameters，This method can be used to explain social laws from the perspective of generating social sciences。

In the research and representation of dynamics of network，Jan Nagler, the School of Frankfurt Financial Management, shared the research of the network model (MOTIFS) influenced the subject's reaction dynamic research。The response time can be quantified by a switch to reach the speed of the network node in the network dynamic type，The network dynamic types include automatic state of nodes、connection between nodes、Interactive dynamics between two nodes。Digesting through random simulation experiments，For the network with a model，When there are multiple model types or limited network behaviors，Calculating the mathematical framework of the reaction time of the communication should be considered at the same time and the modulus of the propagation path of the hub node at the same time; if there is a large number of behaviors in the network，You need to consider the nearby dynamics between the automatic state index between the topology independence and the node。

Build social theory based on micro data，George Messon University Robert AXTELL shared the social science navigation under the situation of data -based on the overall economy of company Bet365 lotto review data modeling。This research is based on micro data based on the tax record of American companies，Discovered labor productivity、Employee mobile network、City scale, etc. The law that affects the company。Phenomenon that is difficult to explain data presentation because it is currently difficult to explain，Research on the method of calculating the subject for simulation simulation，Finally produced the company scale distribution、Company growth、Employee flow network and other fit curves。where，Model ingredients include heterogeneity agents、Restrictions of scale income、Information flow network between the subject，Model parameters include preference distribution、Compensation rules、Number of neighbors nodes, etc.。Research suggestions under the background of the current comprehensive micro data availability enhancement，Construct a model under data guidance，Social theories that can develop the next generation to explain micro data。

In terms of complicated evolution of organizational behavior，Luo Jiade and Gao Xin of Tsinghua University shared the study of improving team innovation capabilities in organizational changes。This research is based on the combination of exploratory research and verification research，More than 3,000 teams composed of 30,000 employees of a large Internet company in the data within five years of 2014-2018 (including employee project participation records、Participate in course training data、Data data for the interview, etc.)，outlined the team cooperation network、Cooperation network between teams、Course Exchange Network, etc.。Exploratory research is mainly based on machine bet365 best casino games learning and explanatory AI methods，Verifying research mainly by proposing research assumptions，Carry out causal analysis or regression analysis，Refers to inference after the conclusion。Explorest research results are: 2014-2018，The factor that continues to greatly affect team innovation is the external connection number of team cooperation networks、Knowledge diversity of new employees、Dean of the team's internal cooperation network, etc.。The assumptions proposed in the verification research except the above exploration and discovery，It also includes employees who hire employees with heterogeneity knowledge to regulate the team to enhance the ability of team innovation，At the different stage of dynamic evolution，Factors affecting team innovation ability are also slightly different，Usually more personnel are more stable，The change period requires new members with heterogeneous knowledge to join。Research assumes that all verification through the return model is verified and passed。

In addition to the research of big data under the above complex evolution，Beijing University of Chemical Technology Gu Weiwei shared the research of the hidden geometry of the Internet and the study of the optimal embedded dimension，Texas University of Agricultural Engineering Xinyue Ye shared the method of building a knowledge map in geographic information science，The Central University of Finance and Economics Yang Hu shared a study based on the identification of head risk investment institutions based on the integrated investment preferences，Zhejiang University Wu Chao shared the social computing science based on group intelligence，Bet365 lotto review Oshani Seneviratne Oshani Seneviratne shared the research of social computing and blockchain。

　Improve academic care through cutting -edge technical methods

With the increasing maturity of big data research in the field of social sciences，Scholars in the field of social computing are more focused on how to enhance academic care in the art through cutting -edge technical methods。Nanjing University Chen Yunsong shared the relevant research on macro steering in the field of computing sociological vision，Including a macro -causal analysis based on big data、Social structure presentation、Macro theory -based delivery based on non -supervised learning、Met the four aspects of stealth indicators based on supervision and learning。Fu Xiaoming, the University of Gosteen, Fu Xiaoming, based on the behavioral data of 11392 learners and personal socio -economic status characteristics of personal socio -economic status，Analysis of the impact of individual socioeconomic status indicators on course participation and learning effects，and build a machine learning model，Analysis of important factor affecting academic performance。Wang Feiyue of the Chinese Academy of Sciences introduced the concept of social prescriptions in the new public opinion era and the concept of social hospitals。

Big data brings many research breakthroughs，It also brings certain risks and problems。Zhou Tao of the University of Electronic Science and Technology shared the information cocoon room problem in online navigation，The University of Washington University Aylin Caliskan researched the responsible AI (Responsible AI). The problem of existence or expanding the risk of human discrimination with human discrimination due to human prejudice Bet365 app download due to human prejudice，Gareth Tyson, Queen Mary of London, analyzed the problem of abuse of social information platforms，Fudan University Chen Yang shared the study of the malicious account detection mechanism in the online social network。

，Research on the technical method level has also attracted the attention of scholars in this field。Tsinghua University Liu Taoxiong introduced the method of applying causal maps to variable selection in the field of economics，Simon Dedeo, the University of Carnegellen, studied the problem of interpretation of behavior -based behavior，Tsinghua University Liu Zhiyuan explored two different text representation methods based on symbols and embeddedness、Research on the technical method level has also attracted the attention of scholars in this field。

Data mining and theoretical insights based on various types of big data，Still the focus of scholars' research。The University of Chicago James Evans discussed how the innovation in the scientific community was strangled，Chinese University of Hong Kong (Shenzhen) Jia Jianmin studied the changes and differences of people's digital lifestyle during the new crown pneumonia.，Huang Bo, the Chinese University of Hong Kong, evaluated the combination effect caused by controlling physical distance and vaccination during the prevention and control of the new coronary pneumonia.，Tsinghua University He Xiaobin studied the role of "five insurances and one gold" in the Chinese labor market，Jiangsu University of Science and Technology Zhou Bin studied the law of information dissemination based on data statistical analysis and social network structure analysis。

　(Author Unit: Department of Sociology at the School of Social Sciences, Tsinghua University)