We analyzed 1000 tweets from 2016-02-15 14:32:40 to 2017-04-12 17:30:24 (422 days). 642 out of these 1000 tweets by Mary Honeyball were re-tweets, which is 64.2%.
Based on the metadata associated with these, we can understand Mary Honeyball's Twitter usage patterns on hourly or weekly basis, timezones, geo-location tags, devices that have been used, etc.
Created on 2017-04-14 10:50:45
Hourly Twitter activities according to the metadata.
Weekly Twitter activities according to the metadata.
Top 5 most retweeted users
- @thefabians
- 22 (3.4%)
- @ProgressOnline
- 20 (3.1%)
- @TamaraCincik
- 18 (2.8%)
- @RCorbettMEP
- 15 (2.3%)
- @SebDance
- 13 (2.0%)
Top 5 most mentioned users
- @maryhoneyball
- 237 (12.8%)
- @labour4europe
- 39 (2.1%)
- @FabianWomen
- 37 (2.0%)
- @thefabians
- 33 (1.8%)
- @ProgressOnline
- 28 (1.5%)
Top 10 hashtags
- #Brexit
- 67 (10.2%)
- #LabourInForBritain
- 19 (2.9%)
- #EUref
- 18 (2.7%)
- #SakharovUK
- 18 (2.7%)
- #Lab16
- 17 (2.6%)
- #OurRights
- 16 (2.4%)
- #IWD2016
- 16 (2.4%)
- #Angela4Leader
- 11 (1.7%)
- #LabourIn
- 11 (1.7%)
- #wminbrexit
- 11 (1.7%)
Most referenced websites
- bit.ly
- 27 (14.0%)
- thehoneyballbuzz.com
- 13 (6.7%)
- wp.me
- 10 (5.2%)
- www.theguardian.com
- 8 (4.1%)
- www.europarl.europa.eu
- 6 (3.1%)
- prog.rs
- 6 (3.1%)
- www.eurolabour.org.uk
- 6 (3.1%)
- www.standard.co.uk
- 5 (2.6%)
- www.mirror.co.uk
- 5 (2.6%)
- ow.ly
- 5 (2.6%)
Mary Honeyball
@maryhoneyball
Account created on Friday 06 February, 2009.
Profile info
I was elected to the European Parliament in 2000, as a Labour Member for London.
- Location
- London
- Following
- 1612
- Followers
- 7352
- Total Tweets
- 6179
Meta info
- Language
- EN
- Managed by multiple people?
- False
- Geo Enabled
- True
- Time Zone
- London
- UTC offset
- 3600
- Tweets /Day
- 2.4
Detected languages
- en
- 972 (97.2%)
- und
- 13 (1.3%)
- fr
- 9 (0.9%)
- pt
- 2 (0.2%)
- ht
- 1 (0.1%)
Detected Sources
- Twitter for Android
- 443 (44.3%)
- Twitter Web Client
- 415 (41.5%)
- Twitter for iPhone
- 115 (11.5%)
- Twitter Lite
- 16 (1.6%)
- iOS
- 9 (0.9%)
Detected places (8 found)
- Brussels
- 4 (50.0%)
- Camden Town
- 2 (25.0%)
- Gravesend
- 1 (12.5%)
- Strasbourg
- 1 (12.5%)