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  • Professor jayanmin's team published research papers in nature newsletter

       2026-05-07 NetworkingName1510
    Key Point:Professor jayanmin's research team has recently published a research paper in the leading international journal, nature newsletter, which examines the dynamic dynamics of family and social networks by moving big data to reveal people's communication behaviour in emergency situations and proposes a three-dollar embedded structure. The co-authors of this study are jae-chul, university of hong kong, li yiwei, university of chengnan, national defense

    Professor jayanmin's research team has recently published a research paper in the leading international journal, nature newsletter, which examines the dynamic dynamics of family and social networks by moving big data to reveal people's communication behaviour in emergency situations and proposes a three-dollar embedded structure. The co-authors of this study are jae-chul, university of hong kong, li yiwei, university of chengnan, national defense science and technology, ning yiu, south-west transport university, and nicholas a. Christakis, yale university. Professor jayanmin is the author of this newsletter。

    Many of the unobservable attributes of complex social systems can be shown only in exceptional circumstances. Prof. Ja's research team, based on the data on individual mobile communications of victims of the earthquake in yanan in 2013, using the natural experiment of earthquakes, has studied people's emergency communication and response behaviour in a risk environment, revealing the important role of micro-mechanisms of social networks -- embeddedness. The traditional concept of structural embedding is to describe the number of common friends that exist between two network nodes (people-to-people), and the higher the degree of embedding, the greater the level of trust between them (granovetter, 1985). For example, the more good friends a couple shares, the more stable their marriage relationship will be. Professor jae's work has expanded the network embedding study from a binary relationship to a triad structure (triadic embeddness structure) and separated the embedded structure from the embedded strength, thus providing an in-depth analysis of how the various embedded structures of the families of the three affected emergency communications behaviour of people following the earthquake。

    Embedded theory, social network

    The study, which is based on data on the communication of family planning users of mobile phones in earthquake-affected areas, using a similar double differential analysis, found that families with fully embedded structures contact their families in a shorter period of time under higher seismic intensity, that their intra-family communication is more interactive and that they communicate more with members of the social network outside the nuclear family. In addition, more embedded family members are more central to their networks, which suggests that family relationships and friends are complementary rather than a substitute, i. E. A common network of friends and social resources strengthens the family network's membership and gives them more family and social support when they need it。

    Earthquakes provide a starting point for observations of the evolution of social networks. There are 16 types of network (motifs) for three families, and the frequency of these different forms of tri-channel structures that actually appear before and after the earthquake cannot be attributed to the old theory -- – the theory of structural balance (cartwright and harary 1956) and the theory of relationship transmission (holland and reinhardt, 1971). While considerable progress has been made in research on the evolution of networks in the past, such as the introduction of priority connectivity principles (barabási and albert, 1999) and other dynamic models of networks (palla et al., 2007; li et al., 2017), there is still a lack of in-depth research on the mechanisms for the evolution of the micro-level of networks (milo et al., 2002, 2004; jackson et al. 2017). This study by professor ja's team shows that the evolution and evolution of the triple network itself is driven by their external social resource sharing. These micro-level embedded mechanisms provide new insights into the evolution of social networks at the macro level。

    Embedded theory, social network

    For further information on the study, see nature newsletter

    Website: https://www. Nature. Com/articles/s41467-021-24606-7

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    Triadic embeddness situation in family networks predicts mobile communications respoI'm sorry, but i'm sorry.

    Https://doi. Org/10. 1038/s414667-021-24606-7

     
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