In the field of social sciences and big data、While the intersectional bet365 bonus code pa the combination of artificial intelligence has been widely recognized by academia and industry，New research questions in complex systems、Research methods and research trends have become issues that scholars in this field continue to explore。Sponsored by School of Social Sciences, Tsinghua University、The 3rd International Conference on Social Computing hosted by the Social Network Research Center of Tsinghua University was successfully held in a combination of online and offline methods，Experts and scholars attending the meeting focused on complex research、Conducted academic reports and exchanges on social computing and other topics。The conference aims to track cutting-edge research in the field，Promote social sciences、Computer Science、In-depth integration and innovation in statistics and other fields。

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Complex、The bet365 bonus code pa the integration of big data and social computing is currently the cutting-edge cross-research in this field，Including ABM (Agent-based modeling) method、Network representation and dynamic modeling、Construct social theory through simulation based on micro data、bet365 bonus code pa the complex evolution of organizational behavior, etc.。

among them，About the method of combining complex research and agent modeling，New York University’s Joshua Epstein shared generative social science research based on neurocognitive foundation Agent-Zero。Agent-Zero is an agent with accuracy and computability，It contains emotionality、Three modules of bounded rationality and sociality，Interactions between internal modules produce observable individual behaviors，Interaction between multiple agents can create collective dynamics，If conflict、Social Psychology and Law。bet365 bonus code pa simulation experiments based on multi-agent，Escape set up、raid、Refuse to be immune and other behaviors，Fear learning rate、Memory window, threshold and other parameters，This method can be used to explain social laws from the perspective of generative social science。

In the study and characterization of network dynamics，Jan Nagler from the Frankfurt School of Finance and Management shared bet365 bonus code pa how network motifs (motifs) affect subject response dynamics。Reaction time quantifies the speed at which a perturbation is conducted to reach a network node in a given network dynamic type，The network dynamic type includes the automatic dynamics of nodes、Connectivity between nodes、Interaction dynamics between two nodes。Showed by random simulation experiments，For networks with motifs，When there are multiple motif types or limited network behavior，The mathematical framework for calculating propagation reaction time should consider both the asymptotic zone of the hub node and the motif of the propagation path；If there is a large amount of behavior in the network，You need to consider the autodynamic index in topological independence and the proximity dynamics between nodes。

Constructing social theory based on micro data，Robert Axtell of George Mason University shared his bet365 bonus code pa navigating the social sciences in the face of data deluge - modeling the overall economy based on company data。The study is based on microdata from U.S. corporate tax records，Discovered labor productivity、Employee mobility network、The rules that affect companies such as city size。Because it is difficult for existing theories to explain the phenomenon presented by the data，bet365 bonus code pa the method of simulation based on computing body，Finally generate company size distribution、Company Growth、Employee flow network and other fitting curves。Among them，Model components include heterogeneity agents、Rule of increasing returns to scale、Inter-subject information flow network, etc.，Model parameters include preference distribution、Compensation Rules、Number of neighbor nodes, etc.。Research recommendations in the current context of enhanced availability of comprehensive microdata，Building models guided by data，The next generation of social theory that can explain micro-level data can be developed。

In terms of the complex evolution of organizational behavior，Luo Jiade and Gao Xin of Tsinghua University shared bet365 bonus code pa improving team innovation capabilities during organizational changes。This research is based on a methodology that combines exploratory research and confirmatory research，Using data from more than 3,000 teams composed of 30,000 employees in a large Internet company in the five years from 2014 to 2018 (including employee project participation records、Participation course training data、Interview record data, etc.)，Outlined the cooperation network within the team、Inter-team cooperation network、Course exchange network, etc.。Exploratory research is mainly based on machine learning and explainable AI methods，Confirmatory research mainly involves proposing research hypotheses，Perform causal analysis or regression analysis，Draw conclusions before forming inferences。The results of the exploratory research are: 2014-2018，The factor that continues to have a greater impact on team innovation is the number of external connections in the cooperation network between teams、Knowledge diversity of new employees、The density of the cooperation network within the team, etc.。The hypotheses proposed in the confirmatory study not only verified the above exploratory findings，Also includes the ability to hire employees with heterogeneous knowledge to regulate the team’s external connections to enhance team innovation，At different stages of dynamic evolution at the same time，The factors that affect team innovation ability are also slightly different，Stability of personnel is usually needed，In the period of change, new members with heterogeneous knowledge are more needed to join。The research hypotheses were verified through the regression model。

In addition to the above-mentioned big data research under complex evolution，Gu Weiwei of Beijing University of Chemical Technology shared bet365 bonus code pa the hidden geometric space and optimal embedding dimensions of the network，Xinyue Ye from Texas A&M University shared methods for building knowledge graphs in geographic information science，Yang Hu from Central University of Finance and Economics shared his bet365 bonus code pa identification of leading venture capital institutions based on graph neural network that fuses investment preferences，Wu Chao of Zhejiang University shared social computing science based on swarm intelligence，Oshani Seneviratne of Rensselaer Polytechnic Institute shared bet365 bonus code pa the combination of social computing and blockchain。

　Improving academic care through cutting-edge technological bet365 bonus code pa

With the increasing maturity of big data research in the field of social sciences，Scholars in the field of social computing are focusing more on how to improve academic care in this field through cutting-edge technical methods。Chen Yunsong of Nanjing University shared relevant bet365 bonus code pa the macro-turn of quantitative social analysis from the perspective of computational sociology，Contains macro causal analysis based on big data、Social structure presentation、Macro-theoretical midwifery based on unsupervised learning、Four aspects of invisible indicator measurement based on supervised learning。Fu Xiaoming of the University of Göttingen is based on the behavioral data and personal socioeconomic status characteristics data of 11,392 learners in the online learning process，Analyzed the impact of individual socioeconomic status indicators on course participation and learning results，And by building a machine learning model，Analyzed the important factors affecting academic performance。Wang Feiyue of the Chinese Academy of Sciences introduced the concepts of social prescriptions and social hospitals in the new public opinion era。

Big data brings many research breakthroughs，It also brings certain risks and problems。Zhou Tao from the University of Electronic Science and Technology of China shared the information cocoon room problem in online navigation，Aylin Caliskan of the University of Washington studied the issue of human bias in machine intelligence due to the existence of human bias in training data around responsible AI (Responsible AI), which leads to the risk of existing or expanding human discrimination bias，Gareth Tyson of Queen Mary University of London analyzed the problem of abuse of social messaging platforms，Chen Yang of Fudan University shared bet365 bonus code pa the detection mechanism of malicious accounts in online social networks。

In addition，bet365 bonus code pa technical methods has also attracted the attention of scholars in this field。Liu Taoxiong of Tsinghua University introduced the method of applying causal diagrams to variable selection in the field of economics，Simon DeDeo of Carnegie Mellon University studied the problem of behavioral explanation based on relationship chains，Liu Zhiyuan of Tsinghua University discussed two different text representation methods based on symbols and embeddedness、bet365 bonus code pa graph neural networks and their integration with social science fields。

Data mining and theoretical insights based on various big data，Still the focus of bet365 bonus code pa by scholars。James Evans from the University of Chicago discusses how innovation in science is being stifled，Jia Jianmin from the Chinese University of Hong Kong (Shenzhen) studied the changes and differences in people’s digital lifestyles during the COVID-19 epidemic，Huang Bo of the Chinese University of Hong Kong evaluates the joint effects of physical distance control and vaccination in the prevention and control of the new coronavirus pneumonia epidemic，He Xiaobin of Tsinghua University studied the role of “five insurances and one housing fund” in China’s labor market，Zhou Bin of Jiangsu University of Science and Technology studied the law of information dissemination based on statistical analysis of data and analysis of social network structure。

　(Author’s affiliation: Department of Sociology, School of bet365 bonus code pa Sciences, Tsinghua University)