Wroclaw, Poland Twitter Trends Now | Top Twitter Trending Topics & Hashtags Today

Twitter Trends - Wroclaw, Poland

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

Rank	Trending Topic / Hashtag	Tweet Volume
1.	#RUSDEN 12.3K Tweets	12.3K
2.	Dania Under 10K Tweets	Under 10K
3.	Parken Under 10K Tweets	Under 10K
4.	Belgia Under 10K Tweets	Under 10K
5.	Kopenhadze Under 10K Tweets	Under 10K
6.	Damsgaarda Under 10K Tweets	Under 10K
7.	Duńczyków Under 10K Tweets	Under 10K
8.	Duńczycy Under 10K Tweets	Under 10K
9.	Rosja Under 10K Tweets	Under 10K
10.	lorde 50.1K Tweets	50.1K

11.	Borek Under 10K Tweets	Under 10K
12.	Finowie Under 10K Tweets	Under 10K
13.	Argentyną Under 10K Tweets	Under 10K
14.	Austria 37K Tweets	37K
15.	Wawrzyk Under 10K Tweets	Under 10K
16.	Name 3 34.6K Tweets	34.6K
17.	Rimini Under 10K Tweets	Under 10K
18.	Kubiak Under 10K Tweets	Under 10K
19.	Finlandią Under 10K Tweets	Under 10K
20.	Noc Kupały Under 10K Tweets	Under 10K
21.	Ukraina Under 10K Tweets	Under 10K
22.	Napisz 3 Under 10K Tweets	Under 10K
23.	Polska Press Under 10K Tweets	Under 10K
24.	Spinacz Under 10K Tweets	Under 10K
25.	Belgów Under 10K Tweets	Under 10K
26.	Borka Under 10K Tweets	Under 10K
27.	Czarnek Under 10K Tweets	Under 10K
28.	Szpaku Under 10K Tweets	Under 10K
29.	VITAL 29.9K Tweets	29.9K
30.	Szczęścia Under 10K Tweets	Under 10K

31.	Maty Under 10K Tweets	Under 10K
32.	Szpakowskiego Under 10K Tweets	Under 10K
33.	Jura 18.9K Tweets	18.9K
34.	Kazek Under 10K Tweets	Under 10K
35.	holendrzy Under 10K Tweets	Under 10K
36.	Iranem Under 10K Tweets	Under 10K
37.	Mediolanie Under 10K Tweets	Under 10K
38.	kantar Under 10K Tweets	Under 10K
39.	macedonia północna Under 10K Tweets	Under 10K
40.	Rafał Wolski Under 10K Tweets	Under 10K
41.	Kocham Under 10K Tweets	Under 10K
42.	Dolnym Śląsku Under 10K Tweets	Under 10K
43.	Schetyna Under 10K Tweets	Under 10K
44.	Dynamite 265.5K Tweets	265.5K
45.	Garbarni Under 10K Tweets	Under 10K
Note: Trends refreshes every 30 minutes.

S.No.	Topic/Hashtag	Tweet Volume	URL
1	#RUSDEN	12,293	http://twitter.com/search?q=%23RUSDEN
2	Dania	<10,000	http://twitter.com/search?q=Dania
3	Parken	<10,000	http://twitter.com/search?q=Parken
4	Belgia	<10,000	http://twitter.com/search?q=Belgia
5	Kopenhadze	<10,000	http://twitter.com/search?q=Kopenhadze
6	Damsgaarda	<10,000	http://twitter.com/search?q=Damsgaarda
7	Duńczyków	<10,000	http://twitter.com/search?q=Du%C5%84czyk%C3%B3w
8	Duńczycy	<10,000	http://twitter.com/search?q=Du%C5%84czycy
9	Rosja	<10,000	http://twitter.com/search?q=Rosja
10	lorde	50,127	http://twitter.com/search?q=lorde
11	Borek	<10,000	http://twitter.com/search?q=Borek
12	Finowie	<10,000	http://twitter.com/search?q=Finowie
13	Argentyną	<10,000	http://twitter.com/search?q=Argentyn%C4%85
14	Austria	37,018	http://twitter.com/search?q=Austria
15	Wawrzyk	<10,000	http://twitter.com/search?q=Wawrzyk
16	Name 3	34,592	http://twitter.com/search?q=%22Name+3%22
17	Rimini	<10,000	http://twitter.com/search?q=Rimini
18	Kubiak	<10,000	http://twitter.com/search?q=Kubiak
19	Finlandią	<10,000	http://twitter.com/search?q=Finlandi%C4%85
20	Noc Kupały	<10,000	http://twitter.com/search?q=%22Noc+Kupa%C5%82y%22
21	Ukraina	<10,000	http://twitter.com/search?q=Ukraina
22	Napisz 3	<10,000	http://twitter.com/search?q=%22Napisz+3%22
23	Polska Press	<10,000	http://twitter.com/search?q=%22Polska+Press%22
24	Spinacz	<10,000	http://twitter.com/search?q=Spinacz
25	Belgów	<10,000	http://twitter.com/search?q=Belg%C3%B3w
26	Borka	<10,000	http://twitter.com/search?q=Borka
27	Czarnek	<10,000	http://twitter.com/search?q=Czarnek
28	Szpaku	<10,000	http://twitter.com/search?q=Szpaku
29	VITAL	29,939	http://twitter.com/search?q=VITAL
30	Szczęścia	<10,000	http://twitter.com/search?q=Szcz%C4%99%C5%9Bcia
31	Maty	<10,000	http://twitter.com/search?q=Maty
32	Szpakowskiego	<10,000	http://twitter.com/search?q=Szpakowskiego
33	Jura	18,871	http://twitter.com/search?q=Jura
34	Kazek	<10,000	http://twitter.com/search?q=Kazek
35	holendrzy	<10,000	http://twitter.com/search?q=holendrzy
36	Iranem	<10,000	http://twitter.com/search?q=Iranem
37	Mediolanie	<10,000	http://twitter.com/search?q=Mediolanie
38	kantar	<10,000	http://twitter.com/search?q=kantar
39	macedonia północna	<10,000	http://twitter.com/search?q=%22macedonia+p%C3%B3%C5%82nocna%22
40	Rafał Wolski	<10,000	http://twitter.com/search?q=%22Rafa%C5%82+Wolski%22
41	Kocham	<10,000	http://twitter.com/search?q=Kocham
42	Dolnym Śląsku	<10,000	http://twitter.com/search?q=%22Dolnym+%C5%9Al%C4%85sku%22
43	Schetyna	<10,000	http://twitter.com/search?q=Schetyna
44	Dynamite	265,499	http://twitter.com/search?q=Dynamite
45	Garbarni	<10,000	http://twitter.com/search?q=Garbarni

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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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