%22Wasim Ahmed%22 OR was3210 , Twitter, 6/14/2021 9:29:08 PM, 256907


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%22Wasim Ahmed%22 OR was3210 _2021-06-14_03-57-27.xlsx
"Wasim Ahmed" OR was3210 _2021-06-14_03-57-27.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
June 14, 2021
Short Description:
"Wasim Ahmed" OR was3210 via NodeXL https://bit.ly/3zkcZT0
@was3210
@esragbilir
@jmirpub
@bhandoria
@ahk_47
@tkmackey
@christinauwins
@mavesocial
@jfreemandaily
@te

Top hashtags:
#goasco21
#authorvideo
#knowledgetranslation
#phdchat
#scicomm
#infodemiology

Description:
Description
The graph represents a network of 72 Twitter users whose tweets in the requested range contained ""Wasim Ahmed" OR was3210 ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 10:57 UTC.

The requested start date was Monday, 14 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 12-day, 15-hour, 15-minute period from Monday, 31 May 2021 at 18:51 UTC to Sunday, 13 June 2021 at 10:06 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 72
Unique Edges : 97
Edges With Duplicates : 180
Total Edges : 277
Number of Edge Types : 5
Retweet : 43
MentionsInRetweet : 122
Mentions : 93
Replies to : 13
Tweet : 6
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0.0972222222222222
Reciprocated Edge Ratio : 0.177215189873418
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 51
Maximum Edges in a Connected Component : 232
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.221214
Graph Density : 0.0309076682316119
Modularity : 0.38967
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 72 Twitter users whose tweets in the requested range contained "%22Wasim Ahmed%22 OR was3210 ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 10:57 UTC.

The requested start date was Monday, 14 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 12-day, 15-hour, 15-minute period from Monday, 31 May 2021 at 18:51 UTC to Sunday, 13 June 2021 at 10:06 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : %22Wasim Ahmed%22 OR was3210
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[5] https://blogs.lse.ac.uk/impactofsocialsciences/2021/05/18/using-twitter-as-a-data-source-an-overview-of-social-media-research-tools-2021/
[3] https://www.play-cricket.com/website/results/4777038
[2] https://www.pennmedicine.org/news/news-releases/2021/june/electronic-nose-accurately-sniffs-out-hard-to-detect-cancers
[1] https://twitter.com/NodeXLAcademy/status/1401914677068767233
[1] https://twitter.com/NodeXLAcademy/status/1401077585375805441
[1] https://www.eventbrite.co.uk/e/2021-summer-school-social-networks-nodexl-pro-a-few-clicks-to-insights-tickets-153034246551?aff=erelexpmlt&keep_tld=1
[1] https://twitter.com/was3210/status/1400963662257475584
[1] https://youtu.be/WvUq-ZdeVyI?utm_content=169227339&utm_medium=social&utm_source=twitter&hss_channel=tw-28618231
[1] https://www.theplayerstribune.com/posts/dear-england-gareth-southgate-euros-soccer,https://www.theplayerstribune.com/posts/dear-england-gareth-southgate-euros-soccer
[1] https://www.linkedin.com/slink?code=dZE92s7

Top URLs in Tweet in G1:
[5] https://blogs.lse.ac.uk/impactofsocialsciences/2021/05/18/using-twitter-as-a-data-source-an-overview-of-social-media-research-tools-2021/
[1] https://twitter.com/NodeXLAcademy/status/1401914677068767233
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3DJCaSvJt8Nck&q=EgS4SO-bGJrsnIYGIhCIeQvJb8T3_ZnBTZVLBzr3MgFy
[1] https://www.eventbrite.co.uk/e/2021-summer-school-social-networks-nodexl-pro-a-few-clicks-to-insights-tickets-153034246551?aff=erelexpmlt&keep_tld=1
[1] https://twitter.com/NodeXLAcademy/status/1401077585375805441
[1] https://www.theplayerstribune.com/posts/dear-england-gareth-southgate-euros-soccer,https://www.theplayerstribune.com/posts/dear-england-gareth-southgate-euros-soccer
[1] https://twitter.com/was3210/status/1398933504788926465
[1] https://www.research-live.com/article/features/lie-detector-covid19-and-misinformation/id/5084452

Top URLs in Tweet in G3:
[1] https://twitter.com/was3210/status/1400963662257475584
[1] https://youtu.be/JCaSvJt8Nck?utm_content=169325608&utm_medium=social&utm_source=twitter&hss_channel=tw-1374005326735929350
[1] https://youtu.be/JCaSvJt8Nck?utm_content=169298545&utm_medium=social&utm_source=twitter&hss_channel=tw-1374005326735929350
[1] https://youtu.be/WvUq-ZdeVyI?utm_content=169227339&utm_medium=social&utm_source=twitter&hss_channel=tw-28618231
[1] https://youtu.be/JCaSvJt8Nck?utm_content=169298544&utm_medium=social&utm_source=twitter&hss_channel=tw-28618231
[1] https://youtu.be/JCaSvJt8Nck?utm_content=169325609&utm_medium=social&utm_source=twitter&hss_channel=tw-28618231
[1] https://www.linkedin.com/slink?code=dZE92s7
[1] https://www.linkedin.com/slink?code=dirPGNE

Top URLs in Tweet in G4:
[2] https://www.pennmedicine.org/news/news-releases/2021/june/electronic-nose-accurately-sniffs-out-hard-to-detect-cancers
[1] https://twitter.com/drdonsdizon/status/1400605336319451142
[1] https://twitter.com/agz_eriksson/status/1401254819130716160
[1] https://ijgc.bmj.com/content/30/Suppl_4/A50.2
[1] https://www.medscape.com/viewarticle/952363
[1] https://www.symplur.com/healthcare-hashtags/ontology/cancer/

Top URLs in Tweet in G7:
[3] https://www.play-cricket.com/website/results/4777038

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[13] goasco21
[11] authorvideo
[10] knowledgetranslation
[6] phdchat
[5] scicomm
[5] infodemiology
[5] infodemic
[4] covid
[4] fakenews
[4] asco21



Top Hashtags in Tweet in G1:
[6] phdchat
[4] authorvideo
[3] academictwitter
[3] knowledgetranslation
[2] citylis
[2] socialmedia
[1] academics
[1] free
[1] digitalhealth
[1] infodemic

Top Hashtags in Tweet in G2:
[1] پاک_فوج_کھاتی_نہیں_لگاتی_ہے

Top Hashtags in Tweet in G3:
[7] knowledgetranslation
[7] authorvideo
[4] scicomm
[4] covid
[4] fakenews
[4] infodemiology
[4] infodemic
[2] epiwin
[1] uconndigital21

Top Hashtags in Tweet in G4:
[12] goasco21
[4] asco21
[4] gyncsm
[2] teamwork
[2] ovariancancer
[2] gyneonc
[1] goasco20
[1] esgo2020
[1] gynoncs

Top Hashtags in Tweet in G5:
[1] amu

Top Words
Top Words in Tweet in Entire Graph:
[49] was3210
[23] ahmed
[22] wasim
[20] bhandoria
[19] team
[18] christinauwins
[17] latest
[16] research
[14] esragbilir
[13] government

Top Words in Tweet in G1:
[18] was3210
[14] research
[13] social
[11] media
[10] tools
[9] data
[8] lseimpactblog
[8] overview
[7] twitter
[7] latest

Top Words in Tweet in G2:
[13] government
[13] give
[13] penny
[13] team
[13] participation
[13] event
[13] col
[13] wasim
[13] ahmed
[13] president

Top Words in Tweet in G3:
[13] was3210
[10] latest
[9] jmir
[9] infodemiology
[8] author
[8] j_infodemiology
[8] journal
[7] jenniferjoemd
[7] interviews
[7] uniofnewcastle

Top Words in Tweet in G4:
[20] bhandoria
[18] christinauwins
[18] was3210
[13] esragbilir
[12] #goasco21
[7] sgo_org
[6] asco
[5] gog
[5] asco_pubs
[5] ascopost

Top Words in Tweet in G5:
[4] know
[2] saddened
[2] demise
[2] former
[2] parliamentarian
[2] wasim
[2] ahmed
[2] nearly
[2] 35yrs
[2] always

Top Words in Tweet in G6:
[2] لکھے

Top Words in Tweet in G7:
[6] hw
[6] 2nd
[6] xi
[6] ahmed
[3] cookham
[3] wasim
[2] 29
[2] sundarlingham
[2] pugh
[2] lasseter

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[19] wasim,ahmed
[18] christinauwins,was3210
[13] government,give
[13] give,penny
[13] penny,team
[13] team,participation
[13] participation,event
[13] event,col
[13] col,wasim
[13] ahmed,president

Top Word Pairs in Tweet in G1:
[11] social,media
[9] media,research
[7] twitter,data
[7] research,tools
[6] using,twitter
[6] data,source
[6] source,overview
[6] overview,social
[6] tools,2021
[6] 2021,was3210

Top Word Pairs in Tweet in G2:
[13] government,give
[13] give,penny
[13] penny,team
[13] team,participation
[13] participation,event
[13] event,col
[13] col,wasim
[13] wasim,ahmed
[13] ahmed,president
[13] president,ptf

Top Word Pairs in Tweet in G3:
[8] jmir,infodemiology
[7] jenniferjoemd,interviews
[7] interviews,was3210
[7] was3210,uniofnewcastle
[7] uniofnewcastle,latest
[7] #knowledgetranslation,#authorvideo
[6] was3210,become
[6] become,inaugural
[6] inaugural,author
[6] author,jmir

Top Word Pairs in Tweet in G4:
[18] christinauwins,was3210
[11] bhandoria,christinauwins
[5] #goasco21,bhandoria
[5] asco,sgo_org
[5] sgo_org,gog
[5] was3210,asco_pubs
[5] asco_pubs,ascopost
[5] esragbilir,#goasco21
[4] #asco21,bhandoria
[4] esragbilir,asco

Top Word Pairs in Tweet in G5:
[2] saddened,know
[2] know,demise
[2] demise,former
[2] former,parliamentarian
[2] parliamentarian,wasim
[2] wasim,ahmed
[2] ahmed,know
[2] know,nearly
[2] nearly,35yrs
[2] 35yrs,always

Top Word Pairs in Tweet in G7:
[6] hw,2nd
[6] 2nd,xi
[3] xi,cookham
[3] cookham,hw
[3] wasim,ahmed

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@was3210
@christinauwins
@bhandoria
@ahk_47
@te
@esragbilir
@jmirpub
@j_infodemiology
@uniofnewcastle
@jenniferjoemd

Top Mentioned in G1:
@was3210
@lseimpactblog
@jmirpub
@marc_smith
@jenniferjoemd
@uniofnewcastle
@damasco1812
@j_infodemiology
@impactmrs
@esragbilir

Top Mentioned in G2:
@ahk_47
@te
@team4pk
@team_faisalabad

Top Mentioned in G3:
@was3210
@j_infodemiology
@uniofnewcastle
@jmirpub
@jenniferjoemd
@who
@research2policy
@adrianstanley13
@tkmackey
@cynthiabaur1

Top Mentioned in G4:
@christinauwins
@was3210
@bhandoria
@esragbilir
@sgo_org
@asco
@gog
@asco_pubs
@ascopost
@jfreemandaily

Top Mentioned in G5:
@navaidhamid

Top Tweeters
Top Tweeters in Entire Graph:
@neena_alli
@teachertoolkit
@scicommbot
@khannia389
@damasco1812
@who
@sherey550
@oncoalert
@smg_tfp
@navaidhamid

Top Tweeters in G1:
@teachertoolkit
@damasco1812
@lseimpactblog
@ffrafaction
@researchlive
@was3210
@lynrobinson
@alexfenton
@twitter
@marc_smith

Top Tweeters in G2:
@khannia389
@sherey550
@smg_tfp
@ahk_47
@amdadali2001
@omais_18
@kazmi_f5
@sarkar_alii
@gumnam98
@i_amshadow05

Top Tweeters in G3:
@scicommbot
@who
@jmirpub
@drsherrypagoto
@_facesa
@supriyabez
@jenniferjoemd
@uniofnewcastle
@tkmackey
@adrianstanley13

Top Tweeters in G4:
@oncoalert
@asco
@ascopost
@jfreemandaily
@weoncologists
@asco_pubs
@ijgconline
@bhandoria
@sgo_org
@batistatp

Top Tweeters in G5:
@navaidhamid
@swaraj76

Top Tweeters in G6:
@neena_alli
@ahmadarain8

Top Tweeters in G7:
@cookhamdeancc