## 5 Discussion
### Discovery of Symmetrical Effect
Specifically, technical pain points drive the paradigm shift of academic research, while theoretical breakthroughs in turn promote technological development through conceptual decoupling and module reorganization, thus forming a symmetrical effect of \"technology-science-technology\". Meanwhile, in the process of such topic evolution, technical topics often precede scientific topics in terms of distribution time. This phenomenon also reflects the driving and promoting effect of technological development on scientific research. 1. The same-stage \"science-technology/technology-science\" topic evolution This paper takes the topics of S10_1 (\"Optimization of Intrusion Detection Technology\") and T10_5 (\"Hardware Blocks Reinforcement\"), which belong to the co-occurrence association evolutionary type, as examples. Intrusion detection systems are a combination of software applications and hardware devices designed to monitor networks and filter out malicious or unauthorized access attempts [41]. From a technology-driven science perspective, technological innovations in areas such as hardware security modules can provide underlying support for the optimization of intrusion detection technologies. With the rapid development of the Internet of Things and cloud computing, traditional network intrusion detection systems can no longer meet the security requirements of Internet of Things applications [42]. Hardware reinforcement technology (T10_5) can significantly improve the data processing efficiency and anti-tampering capability of intrusion detection systems (S10_1) by designing dedicated security chips and hardware acceleration modules. Meanwhile, this technology has also given rise to the demand for lightweight detection algorithms in the research field. The research of S10_1 began to focus on optimization methods such as deep learning [43] to achieve efficient threat recognition under hardware resource constraints. In contrast, looking at the path of science feeding back into technology, innovations in intrusion detection theory are also driving the iterative development of hardware architecture. As the complexity of deep learning methods continues to rise, traditional general-purpose computing architectures are increasingly exposed to cyberattack risks. This current situation has prompted the academic community to delve deeply into theoretical innovations, thereby driving the reform and development of hardware architecture. For instance, [PERSON] et al. [44] proposed an intrusion detection algorithm targeting the SCADA system's internal architecture, which lacks a security framework and is susceptible to cyberattacks. They integrated the Genetically Seeded Flora (GSF) algorithm with the Transformer Neural Network, aiming to alleviate security bottleneck issues. This topic of evolutionary relationship can map the characteristics of bidirectional empowerment evolution between technology research and scientific research. Specifically, technical bottlenecks drive academic research to converge towards an engineerable direction. Meanwhile, scientific research forms modular knowledge units through decoupling which are then restructured along technological pathways to create new solutions. This dynamic closed loop of \"technology demand-scientific abstraction/scientific abstraction-technological reconstruction\" forms a symmetrical mechanism of \"science-technology/technology-science\".