Lens Psych Collab - История изменений

Patarakin: /* МГПУ (5 фильтров одновременно) */

2026-04-15T17:44:36Z

МГПУ (5 фильтров одновременно)

← Предыдущая версия		Версия от 20:44, 15 апреля 2026
Строка 8:		Строка 8:
	}}		}}

	=== МГПУ (5 фильтров одновременно) ===		=== МГПУ (5 фильтров одновременно) Publication Year>2018, Citing Works Count < 6, ===

	{{#get_web_data:		{{#get_web_data:

Patarakin в 17:43, 15 апреля 2026

2026-04-15T17:43:08Z

← Предыдущая версия		Версия от 20:43, 15 апреля 2026
Строка 8:		Строка 8:
	}}		}}

			=== МГПУ (5 фильтров одновременно) ===

			{{#get_web_data:
			url=https://raw.githubusercontent.com/patarakin/stat-data/refs/heads/main/datasets/csv/lens-mgpu-psychol.csv
			\|format=csv with header
			\|delimiter=,
			\|filters=
			Is Open Access=true,
			Publication Year>2018,
			Citing Works Count < 6,
			Publication Type=journal article,
			Fields of Study=Psychology
			\|data=
			Title=Title,
			Year=Publication Year,
			Type=Publication Type,
			OpenAccess=Is Open Access,
			Field=Fields of Study,
			Cited=Citing Works Count
			}}

			{\| class="wikitable sortable"
			!Название
			!Год
			!Тип публикации
			!Open Access
			!Область
			!Цитирования
			{{#for_external_table:<nowiki/>
			{{!}}-
			{{!}} {{{Title}}}
			{{!}} {{{Year}}}
			{{!}} {{{Type}}}
			{{!}} {{{OpenAccess}}}
			{{!}} {{{Field}}}
			{{!}} {{{Cited}}}
			}}
			\|}

			== Модель ==
	<netlogo model="bibliolens2" />		<netlogo model="bibliolens2" />

Patarakin в 16:56, 22 января 2026

2026-01-22T16:56:42Z

← Предыдущая версия		Версия от 19:56, 22 января 2026
Строка 4:		Строка 4:
	The model simulates how scientific collaboration networks grow and evolve over time by processing publications chronologically, creating author agents, establishing co-authorship links, and updating network metrics in real-time. It helps researchers understand how new authors enter the scientific community, how experienced researchers maintain collaborations, and how network structure emerges from individual collaboration decisions.		The model simulates how scientific collaboration networks grow and evolve over time by processing publications chronologically, creating author agents, establishing co-authorship links, and updating network metrics in real-time. It helps researchers understand how new authors enter the scientific community, how experienced researchers maintain collaborations, and how network structure emerges from individual collaboration decisions.
	\|Field_of_knowledge=Психология, Лингвистика		\|Field_of_knowledge=Психология, Лингвистика
	\|KeyDescripions=~~Lens Psych Collab~~		\|KeyDescripions=
	\|Student-created=Нет		\|Student-created=Нет
	}}		}}


			<netlogo model="bibliolens2" />

Patarakin: Новая страница: «{{Model |Description=Lens Psych Collab - This NetLogo model visualizes the evolution of scientific authorship networks using real publication data from Lens.org. The model tracks the dynamics of collaboration patterns among psychologists from major Russian academic institutions: Moscow City University (MCU), Lomonosov Moscow State University (MSU), and the Russian Academy of Sciences. The model simulates how scientific collaboration networks grow and evol...»

2026-01-22T16:56:15Z

Новая страница: «{{Model |Description=Lens Psych Collab - This NetLogo model visualizes the evolution of scientific authorship networks using real publication data from Lens.org. The model tracks the dynamics of collaboration patterns among psychologists from major Russian academic institutions: Moscow City University (MCU), Lomonosov Moscow State University (MSU), and the Russian Academy of Sciences. The model simulates how scientific collaboration networks grow and evol...»

Новая страница

{{Model
|Description=Lens Psych Collab - This NetLogo model visualizes the evolution of scientific authorship networks using real publication data from Lens.org. The model tracks the dynamics of collaboration patterns among psychologists from major Russian academic institutions: Moscow City University (MCU), Lomonosov Moscow State University (MSU), and the Russian Academy of Sciences.

The model simulates how scientific collaboration networks grow and evolve over time by processing publications chronologically, creating author agents, establishing co-authorship links, and updating network metrics in real-time. It helps researchers understand how new authors enter the scientific community, how experienced researchers maintain collaborations, and how network structure emerges from individual collaboration decisions.
|Field_of_knowledge=Психология, Лингвистика
|KeyDescripions=Lens Psych Collab
|Student-created=Нет
}}