Method for generating and analyzing social network from building information model design process

Abstract

The invention discloses a method for generating and analyzing a social network from a building information model design process. The method includes the step S1 of obtaining distributed log data froma plurality of performers in the building information model design process of a plurality of projects and obtaining information related to a design activity in a distributed log; the step S2 of identifying identity and relationship of the performers according to the information obtained in the step S1 to obtain a weighted social graph of the relationship between nodes formed by the plurality of performers and create the social network; the step S3 of analyzing the network structure configuration of the social network based on the network structure composed of the nodes and the weighted relationship connecting the nodes. According to the method, the design event log of the social network is mined based on BIM collaborative design events, and implicit inter-organizational process informationis extracted to achieve establishment and investigation of a broader and deeper collaborative network.

Description

technical field [0001] The invention belongs to the technical field of engineering information, and more specifically relates to a method for generating and analyzing a social network from a building information model design process. Background technique [0002] Building information modeling (BIM) has been widely used in the architecture, engineering and construction (AEC) industry to accommodate efficient collaboration among multiple design process participants. BIM provides a collaborative platform that facilitates information exchange and sharing among various professional design participants for better decision-making. Social network mining is used to explore the social context of work processes, and a better understanding of the social context may reveal dislocations between information systems and their users, which can provide valid insights into improving process and organizational efficiency and efficiency. Social network mining aims to create social graphs from t...

AI Technical Summary

Problems solved by technology

However, these means of data collection are too inefficient for data processing and network modeling

The amount of data collected by traditional methods that rely on building social networks is limited to a small, controlled group of participants, resulting in a limited ability to analyze broader and deeper collaboration networks

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