Проверочная методология выявления актуальных научных вопросов в новых публикациях, цитирование которых еще не установлено

Выявление актуальных исследовательских проблем с использованием библиометрических данных осложняется тем, что цитирование публикаций последних лет еще не сформировано. В данной работе предлагается использовать для оценки веса ключевого слова, встречающегося в рассматриваемой выборке, не цитирование статьи, а среднюю цитируемость журнала за два года. Для выявления терминов, характеризующих релевантные исследовательские темы, предлагается представить сеть совместной встречаемости терминов в координатах средней встречаемости термина в год и средней нормализованной цитируемости термина для визуализации графика. Кроме того, данная методология предполагает использование предварительной обработки ключевых слов с использованием словаря лемматизации. Для анализа были использованы 3696 библиометрических записей за 2022–2024 гг. с платформы ScienceDirect по теме цифровизации промышленности. Последовательно использовались программы VOSviewer и Scimago Graphica. Первый использовался для отображения общего ландшафта исследования, а второй — для более детального анализа отдельных срезов библиометрических данных, полученных с помощью VOSviewer. «Выпуклая оболочка» использовалась для облегчения восприятия границ кластеров. После анализа данных и выделения терминов предлагается предоставить контекст, цитируя строки из публикаций и определяя менее известные термины. Цифровизация отрасли — это не только техническая и технологическая проблема, но и экономическая, о чем свидетельствуют такие термины, как «цифровая экономика» и «Индустрия 5.0».

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