Highlights • EMA data were analyzed using network analysis (e.g., temporal networks).• Suicidal ideation at t was predicted by itself and perceived burdensomeness at t – 1.• Suicidal ideation at t − 1 predicted perceived burdensomeness, depression etc. at t.• At the same beep, suicidal ideation was related to all variables in the network.• Patients with higher average suicidal ideation had higher average hopelessness.

中文翻译：

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从哔哔声到哔哔声的自杀观念建模：网络分析在生态瞬时评估数据中的应用。

要点•使用网络分析（例如时间网络）对EMA数据进行了分析。•t处的自杀意念由其自身预测并在t – 1处感知到的负担。•t -1处的自杀意念预测了t处的感知的负担，抑郁等。 •同一提示音下，自杀意念与网络中的所有变量有关。•平均自杀意念较高的患者平均绝望率较高。