Krasnodar, Russia Twitter Trends Now | Top Twitter Trending Topics & Hashtags Today

Twitter Trends - Krasnodar, Russia

Following are the list of today's top twitter trending topics in Krasnodar, Russia, Trends last updated 1 minute ago.

Rank	Trending Topic / Hashtag	Tweet Volume
1.	#StaySelcaDay 142.2K Tweets	142.2K
2.	#MyUniverse 3.5M Tweets	3.5M
3.	здравствуйте Under 10K Tweets	Under 10K
4.	Интересно 10.2K Tweets	10.2K
5.	Эльбрусе Under 10K Tweets	Under 10K
6.	господи Under 10K Tweets	Under 10K
7.	Ладно Under 10K Tweets	Under 10K
8.	СССР Under 10K Tweets	Under 10K
9.	russian 57.9K Tweets	57.9K
10.	кстати Under 10K Tweets	Under 10K

11.	Пусть Under 10K Tweets	Under 10K
12.	Навального Under 10K Tweets	Under 10K
13.	Германии Under 10K Tweets	Under 10K
14.	хёнджина Under 10K Tweets	Under 10K
15.	COVID-19 491.1K Tweets	491.1K
16.	Москвы Under 10K Tweets	Under 10K
17.	Путина Under 10K Tweets	Under 10K
18.	China 490.2K Tweets	490.2K
19.	В России 18.7K Tweets	18.7K
20.	Дааа Under 10K Tweets	Under 10K
21.	Люблю 19K Tweets	19K
22.	Точно Under 10K Tweets	Under 10K
23.	поэтому 11.1K Tweets	11.1K
24.	Навальный Under 10K Tweets	Under 10K
25.	в москве Under 10K Tweets	Under 10K
26.	доброй Under 10K Tweets	Under 10K
27.	Mimi 68.8K Tweets	68.8K
28.	Вроде Under 10K Tweets	Under 10K
29.	отлично Under 10K Tweets	Under 10K
30.	госдумы Under 10K Tweets	Under 10K

31.	Знаю 18.8K Tweets	18.8K
32.	Согласен Under 10K Tweets	Under 10K
33.	Антидепрессант Under 10K Tweets	Under 10K
34.	Говорят Under 10K Tweets	Under 10K
35.	Жесть Under 10K Tweets	Under 10K
36.	тульской Under 10K Tweets	Under 10K
37.	Обязательно Under 10K Tweets	Under 10K
38.	Возможно Under 10K Tweets	Under 10K
39.	ахах Under 10K Tweets	Under 10K
40.	ка-27 Under 10K Tweets	Under 10K
41.	ПЛАЧУ Under 10K Tweets	Under 10K
42.	Похоже Under 10K Tweets	Under 10K
43.	Смотри Under 10K Tweets	Under 10K
44.	приятного Under 10K Tweets	Under 10K
45.	Понятно Under 10K Tweets	Under 10K
46.	самарской Under 10K Tweets	Under 10K
47.	Реально Under 10K Tweets	Under 10K
Note: Trends refreshes every 30 minutes.

S.No.	Topic/Hashtag	Tweet Volume	URL
1	#StaySelcaDay	142,237	http://twitter.com/search?q=%23StaySelcaDay
2	#MyUniverse	3,505,818	http://twitter.com/search?q=%23MyUniverse
3	здравствуйте	<10,000	http://twitter.com/search?q=%D0%B7%D0%B4%D1%80%D0%B0%D0%B2%D1%81%D1%82%D0%B2%D1%83%D0%B9%D1%82%D0%B5
4	Интересно	10,197	http://twitter.com/search?q=%D0%98%D0%BD%D1%82%D0%B5%D1%80%D0%B5%D1%81%D0%BD%D0%BE
5	Эльбрусе	<10,000	http://twitter.com/search?q=%D0%AD%D0%BB%D1%8C%D0%B1%D1%80%D1%83%D1%81%D0%B5
6	господи	<10,000	http://twitter.com/search?q=%D0%B3%D0%BE%D1%81%D0%BF%D0%BE%D0%B4%D0%B8
7	Ладно	<10,000	http://twitter.com/search?q=%D0%9B%D0%B0%D0%B4%D0%BD%D0%BE
8	СССР	<10,000	http://twitter.com/search?q=%D0%A1%D0%A1%D0%A1%D0%A0
9	russian	57,854	http://twitter.com/search?q=russian
10	кстати	<10,000	http://twitter.com/search?q=%D0%BA%D1%81%D1%82%D0%B0%D1%82%D0%B8
11	Пусть	<10,000	http://twitter.com/search?q=%D0%9F%D1%83%D1%81%D1%82%D1%8C
12	Навального	<10,000	http://twitter.com/search?q=%D0%9D%D0%B0%D0%B2%D0%B0%D0%BB%D1%8C%D0%BD%D0%BE%D0%B3%D0%BE
13	Германии	<10,000	http://twitter.com/search?q=%D0%93%D0%B5%D1%80%D0%BC%D0%B0%D0%BD%D0%B8%D0%B8
14	хёнджина	<10,000	http://twitter.com/search?q=%D1%85%D1%91%D0%BD%D0%B4%D0%B6%D0%B8%D0%BD%D0%B0
15	COVID-19	491,138	http://twitter.com/search?q=COVID-19
16	Москвы	<10,000	http://twitter.com/search?q=%D0%9C%D0%BE%D1%81%D0%BA%D0%B2%D1%8B
17	Путина	<10,000	http://twitter.com/search?q=%D0%9F%D1%83%D1%82%D0%B8%D0%BD%D0%B0
18	China	490,231	http://twitter.com/search?q=China
19	В России	18,729	http://twitter.com/search?q=%22%D0%92+%D0%A0%D0%BE%D1%81%D1%81%D0%B8%D0%B8%22
20	Дааа	<10,000	http://twitter.com/search?q=%D0%94%D0%B0%D0%B0%D0%B0
21	Люблю	18,982	http://twitter.com/search?q=%D0%9B%D1%8E%D0%B1%D0%BB%D1%8E
22	Точно	<10,000	http://twitter.com/search?q=%D0%A2%D0%BE%D1%87%D0%BD%D0%BE
23	поэтому	11,101	http://twitter.com/search?q=%D0%BF%D0%BE%D1%8D%D1%82%D0%BE%D0%BC%D1%83
24	Навальный	<10,000	http://twitter.com/search?q=%D0%9D%D0%B0%D0%B2%D0%B0%D0%BB%D1%8C%D0%BD%D1%8B%D0%B9
25	в москве	<10,000	http://twitter.com/search?q=%22%D0%B2+%D0%BC%D0%BE%D1%81%D0%BA%D0%B2%D0%B5%22
26	доброй	<10,000	http://twitter.com/search?q=%D0%B4%D0%BE%D0%B1%D1%80%D0%BE%D0%B9
27	Mimi	68,780	http://twitter.com/search?q=Mimi
28	Вроде	<10,000	http://twitter.com/search?q=%D0%92%D1%80%D0%BE%D0%B4%D0%B5
29	отлично	<10,000	http://twitter.com/search?q=%D0%BE%D1%82%D0%BB%D0%B8%D1%87%D0%BD%D0%BE
30	госдумы	<10,000	http://twitter.com/search?q=%D0%B3%D0%BE%D1%81%D0%B4%D1%83%D0%BC%D1%8B
31	Знаю	18,754	http://twitter.com/search?q=%D0%97%D0%BD%D0%B0%D1%8E
32	Согласен	<10,000	http://twitter.com/search?q=%D0%A1%D0%BE%D0%B3%D0%BB%D0%B0%D1%81%D0%B5%D0%BD
33	Антидепрессант	<10,000	http://twitter.com/search?q=%D0%90%D0%BD%D1%82%D0%B8%D0%B4%D0%B5%D0%BF%D1%80%D0%B5%D1%81%D1%81%D0%B0%D0%BD%D1%82
34	Говорят	<10,000	http://twitter.com/search?q=%D0%93%D0%BE%D0%B2%D0%BE%D1%80%D1%8F%D1%82
35	Жесть	<10,000	http://twitter.com/search?q=%D0%96%D0%B5%D1%81%D1%82%D1%8C
36	тульской	<10,000	http://twitter.com/search?q=%D1%82%D1%83%D0%BB%D1%8C%D1%81%D0%BA%D0%BE%D0%B9
37	Обязательно	<10,000	http://twitter.com/search?q=%D0%9E%D0%B1%D1%8F%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D1%8C%D0%BD%D0%BE
38	Возможно	<10,000	http://twitter.com/search?q=%D0%92%D0%BE%D0%B7%D0%BC%D0%BE%D0%B6%D0%BD%D0%BE
39	ахах	<10,000	http://twitter.com/search?q=%D0%B0%D1%85%D0%B0%D1%85
40	ка-27	<10,000	http://twitter.com/search?q=%D0%BA%D0%B0-27
41	ПЛАЧУ	<10,000	http://twitter.com/search?q=%D0%9F%D0%9B%D0%90%D0%A7%D0%A3
42	Похоже	<10,000	http://twitter.com/search?q=%D0%9F%D0%BE%D1%85%D0%BE%D0%B6%D0%B5
43	Смотри	<10,000	http://twitter.com/search?q=%D0%A1%D0%BC%D0%BE%D1%82%D1%80%D0%B8
44	приятного	<10,000	http://twitter.com/search?q=%D0%BF%D1%80%D0%B8%D1%8F%D1%82%D0%BD%D0%BE%D0%B3%D0%BE
45	Понятно	<10,000	http://twitter.com/search?q=%D0%9F%D0%BE%D0%BD%D1%8F%D1%82%D0%BD%D0%BE
46	самарской	<10,000	http://twitter.com/search?q=%D1%81%D0%B0%D0%BC%D0%B0%D1%80%D1%81%D0%BA%D0%BE%D0%B9
47	Реально	<10,000	http://twitter.com/search?q=%D0%A0%D0%B5%D0%B0%D0%BB%D1%8C%D0%BD%D0%BE

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Twitter trends algorithm identifies spikes in the popularity of a certain topic or hashtag, relative to its normal level. This takes in factors of both volume (the amount of tweets on the topic) and time (the amount of time it takes to generate that volume of tweets). Time is a very important factor, because a topic that slowly builds over the course of a month may be getting an astounding amount of tweets after 30 days, but because of the slow growth, no spike ever existed to get it trending.

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