Channel

Net.Works

@networks_news

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

214subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001883102318
Type	Channel
Username	@networks_news
Description	Канал команды Net.Works – мы занимаемся анализом неопросных данных для решения бизнес-задач и улучшения опыта ваших пользователей. https://networks.works
Created	8 February 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded	8 August 2026
Last confirmed live	14 August 2026
Measurements held	2
On Telegram	t.me/networks_news

Growth

2 measurements spanning 1 day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 213–215 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
8 Aug 2026, 10:48	214	no change
7 Aug 2026, 09:59	214	first reading

Engagement

20 posts held, back to 11 February 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 25 February 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos: 76
Videos: 1
Links: 47

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

168 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 46.4% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
🔥	78	46.4%
❤	68	40.5%
👍	6	3.57%
❤‍🔥	5	2.98%
⚡	4	2.38%
👏	4	2.38%
👌	2	1.19%
🤡	1	0.595%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 17 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 168reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 February 2024 to 25 February 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

25 Feb 2026, 08:57 UTC395 views4 reactionsread 8 August 2026

Forwarded from @stafresearchFile

❗️Отчёт по использованию аналитики соцмедиа❗️ Наконец, готовы презентовать полную версию исследования. Самое важное дополнение – детализация по размерам бизнеса! Короткое саммари: 1️⃣ Малый бизнес – сильные бюджетные ограничения, поэтому старается экономить в способах закупки данных. Основным заказчиком выступает маркетинг и продукт: ищут обратную связь на продукт и заметность компании среди конкурентов 2️⃣ Средни…

❤3🤡1

9 Oct 2025, 11:08 UTC639 views2 reactionsread 8 August 2026

Forwarded from @stafresearchPhoto

📣 Коллеги, внимание, общий сбор! Мы запускаем исследование о том, как компании в России реально используют данные из социальных медиа — внутри себя, для принятия решений, аналитики, продуктовых и клиентских задач. Если в вашей компании собираются данные соцмедиа (а они собираются почти у всех), — обязательно пройдите короткий опрос 👉 ВОТ ТУТ 🧩 Нам важно понять, где эти данные живут, кто ими пользуется и почему ча…

❤2

27 Feb 2025, 11:57 UTC552 views2 reactionsread 8 August 2026

Всем привет! Мы давно ничего не писали, хотя накопили некоторое количество интересного материала. Будем делиться, а пока анонсируем выход подкаста Quanta podcast, который запустили наши соучредители! p.s. В канале Маргариты есть ссылки на другие стриминговые платформы, чтобы было удобнее смотреть! И также в ее канале будут выходить посты про исследования в целом, в том числе за рамками SML, так что подписывайтесь 🔥

❤2

27 Feb 2025, 11:57 UTC683 views17 reactionsread 8 August 2026

Forwarded from @stafresearch

Начнем сразу с новости – мы запустили свой Quanta Podcast. Будем обсуждать тренды, новости бизнеса и технологий, собственный опыт в управлении агентствами, кейсы и тд. Первый выпуск уже доступен на всех видео-площадках, вот ссылка на YouTube: https://www.youtube.com/watch?v=NzlS0yigS2o&t=11s В комментариях оставляю ссылки на другие источники. Выбирайте, где удобнее следить, здесь буду выкладывать все апдейты!

❤12❤‍🔥5

31 Oct 2024, 15:40 UTC818 views18 reactionsread 8 August 2026

Громкий анонс на ноябрь! 6 ноября – день самой масштабной конференции, посвященной аналитике социальных медиа – Brand Analytics Conference 2024. Мы участвуем в ней сразу в двух треках: 🎯 С 11.30 до 12.45 зал Кейсы: Маргарита Стаф и Светлана Камалова (Райффайзен Банк) расскажут о кейсе исследования аудитории с помощью SML 🎯 С 15 до 16.30 зал Образовательная академия: Ксения Хлопова расскажет, как организовать и за…

🔥10❤5👍3

24 Oct 2024, 18:43 UTC687 views8 reactionsread 8 August 2026

Сегодня мы участвовали в панельной дискуссии в рамках секции Соцсети конференции DEMIS perFORMANce Conf. Совместно с коллегами из Brand Analytics, Prognosis, Ex Libris, Газпромбанк и RQ (AMDG) поговорили о применении анализа социальных медиа (SML) для разработки коммуникационных стратегий и рекламных кампаний и замеров их эффективности.🔼 Так как записи не было, поделимся заметками и парой мыслей по результатам диску…

⚡4👏3❤1

23 Oct 2024, 12:30 UTC448 views10 reactionsread 8 August 2026

File

Делимся записью вчерашнего эфира – #Подкаст с Николаем Епифановым и Маргаритой Стаф #1 от 22.10.24 @networks_news @unifi_agency 00:00 Формат подкастов на канале 2:36 Прошедшее выступление на Research Expo 6:20 Пример фреймворка Jobs to be Done 8:43 О нашем будущем выступлении на Demis Performance Conf 2024 11:04 Про кейс анализа соц. медиа в исследовании коммуникационной стратегии 13:34 Николай кратко рассказывает о…

🔥5❤4👍1

22 Oct 2024, 18:01 UTCviews —

Live stream finished (1 hour)

22 Oct 2024, 16:56 UTCviews —

Live stream started

22 Oct 2024, 13:15 UTC385 views8 reactionsread 8 August 2026

Photo

Хотите слышать нас чаще? И мы хотим! Ведь нам есть, что рассказать. С сегодняшнего дня запускаем регулярные прямые эфиры прямо здесь, в нашем Телеграм-канале. Будем делиться новостями, кейсами и размышлениями об исследованиях в различных разрезах. Сегодня пообщаемся с нашим партнером, Николаем Епифановым, UniFi Group (@unifi_agency) о ценности исследований для различных стримов задач – от бизнес-аудита компании до …

❤5🔥3

17 Oct 2024, 10:20 UTC438 views18 reactionsread 8 August 2026

Всем привет! Мы не пропали, а усиленно трудились, чтобы рассказывать вам самые лучшие кейсы. Поэтому давайте встречаться оффлайн! В октябре мы участвуем сразу в двух конференциях: Завтра, 18 октября – ResearchExpo, в зале Юг в 11.10 вместе с РайффайзенБанком расскажем, как узнать максимум о своей аудитории с помощью sml 🔍 Через неделю, 24 октября – DEMIS PERFORMANCE CONF 2024, секция Соцсети, 11.30 – 12.30. Погов…

❤11🔥6👍1

27 Apr 2024, 11:30 UTC799 views20 reactionsread 8 August 2026

File

Наше продуктовое предложение!🔥

🔥13❤5👌2

Showing the 12 most recent of 20 posts we hold for @networks_news. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 743,560 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Маркетинг и Маргарита
@stafresearch · 3373 posts Nodes and Links
@anrlab · 1,1321 post

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Юнифай
@unifi_agency · 182 posts

Names

Channels on the register whose handles appear in this channel's posts.

Юнифай
@unifi_agency · 182 posts

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Net.Works” (@networks_news), 214 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/networks_news.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.