%22Wasim Ahmed%22 OR was3210 , Twitter, 8/10/2020 1:07:12 PM, 232300


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%22Wasim Ahmed%22 OR was3210 _2020-08-10_03-21-18.xlsx
"Wasim Ahmed" OR was3210 _2020-08-10_03-21-18.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 10, 2020
Short Description:
"Wasim Ahmed" OR was3210 via NodeXL https://bit.ly/2XIyMCz
@was3210
@bakrkaissy
@itsparadisegirl
@advoume
@jetsumgerl
@chidambara09
@reutsmichael1
@vivianfrancos
@mktdiginews
@nodexl

Top hashtags:
#سندھ_بچاٶ_مہم
#nodexl
#twitter
#digitalrights
#adrn
#phdchat

Description:
Description
The graph represents a network of 87 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, 10 August 2020 at 10:21 UTC.

The requested start date was Monday, 10 August 2020 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 11-day, 3-hour, 38-minute period from Tuesday, 28 July 2020 at 08:00 UTC to Saturday, 08 August 2020 at 11:39 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 : 87
Unique Edges : 48
Edges With Duplicates : 185
Total Edges : 233
Number of Edge Types : 5
Retweet : 72
MentionsInRetweet : 107
Tweet : 5
Mentions : 42
Replies to : 7
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.076271186440678
Reciprocated Edge Ratio : 0.141732283464567
Connected Components : 8
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 116
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.313549
Graph Density : 0.0169740711039829
Modularity : 0.432473
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 87 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, 10 August 2020 at 10:21 UTC.

The requested start date was Monday, 10 August 2020 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 11-day, 3-hour, 38-minute period from Tuesday, 28 July 2020 at 08:00 UTC to Saturday, 08 August 2020 at 11:39 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:
[4] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=214234
[1] https://observer.com/2020/08/extreme-5g-conspiracy-theories-where-they-come-from-covid-19/
[1] https://www.eventbrite.co.uk/e/nubs-phdecrs-webinar-series-webinar-1-tickets-114097917944?utm-medium=discovery&utm-campaign=social&utm-content=attendeeshare&aff=estw&utm-source=tw&utm-term=listing
[1] https://www.opindia.com/2020/06/meerut-love-jihad-wasim-dinesh-ravat-uttar-pradesh-facebook-aadhaar-fake-id/
[1] https://www.bbc.co.uk/news/business-53602596
[1] https://todayheadlinenews.com/national/uttar-pradesh-love-jihad-wasim-ahmed-becomes-dinesh-rawat-obtains-fake-identity-card-to-lure-a-hindu-woman-rapes-her-for-two-years/

Top URLs in Tweet in G2:
[4] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=214234
[1] https://www.bbc.co.uk/news/business-53602596
[1] https://observer.com/2020/08/extreme-5g-conspiracy-theories-where-they-come-from-covid-19/

Top URLs in Tweet in G3:
[1] https://www.eventbrite.co.uk/e/nubs-phdecrs-webinar-series-webinar-1-tickets-114097917944?utm-medium=discovery&utm-campaign=social&utm-content=attendeeshare&aff=estw&utm-source=tw&utm-term=listing

Top URLs in Tweet in G6:
[1] https://todayheadlinenews.com/national/uttar-pradesh-love-jihad-wasim-ahmed-becomes-dinesh-rawat-obtains-fake-identity-card-to-lure-a-hindu-woman-rapes-her-for-two-years/

Top URLs in Tweet in G10:
[1] https://www.opindia.com/2020/06/meerut-love-jihad-wasim-dinesh-ravat-uttar-pradesh-facebook-aadhaar-fake-id/

Top Domains
Top Domains in Tweet in Entire Graph:
[4] nodexlgraphgallery.org
[2] co.uk
[1] observer.com
[1] opindia.com
[1] todayheadlinenews.com

Top Domains in Tweet in G2:
[4] nodexlgraphgallery.org
[1] co.uk
[1] observer.com

Top Domains in Tweet in G3:
[1] co.uk

Top Domains in Tweet in G6:
[1] todayheadlinenews.com

Top Domains in Tweet in G10:
[1] opindia.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[49] سندھ_بچاٶ_مہم
[5] nodexl
[2] twitter
[1] digitalrights
[1] adrn
[1] phdchat
[1] academictwitter
[1] academicchatter
[1] webinar
[1] bigdata



Top Hashtags in Tweet in G1:
[49] سندھ_بچاٶ_مہم

Top Hashtags in Tweet in G2:
[5] nodexl
[2] twitter
[1] digitalrights
[1] adrn
[1] bigdata
[1] ai
[1] iot
[1] digital
[1] socialmedia
[1] seohashtag

Top Hashtags in Tweet in G3:
[1] phdchat
[1] academictwitter
[1] academicchatter
[1] webinar

Top Hashtags in Tweet in G8:
[1] kidneyhealth
[1] healthykidney
[1] askadoctor
[1] worldkidneyday

Top Words
Top Words in Tweet in Entire Graph:
[61] wasim
[61] ahmed
[49] #سندھ_بچاٶ_مہم
[49] station
[49] house
[49] officer
[49] heavy
[49] rain
[27] two
[26] created

Top Words in Tweet in G1:
[49] #سندھ_بچاٶ_مہم
[49] station
[49] house
[49] officer
[49] wasim
[49] ahmed
[49] heavy
[49] rain
[26] created
[26] pond

Top Words in Tweet in G2:
[18] nodexl
[10] was3210
[7] reutsmichael1
[7] vivianfrancos
[7] marc_smith
[7] topcybernews
[6] simple
[6] chidambara09
[5] #nodexl
[4] likely75463987

Top Words in Tweet in G3:
[10] proud
[10] such
[10] brilliantly
[10] diverse
[10] multidisciplinary
[10] bunch
[10] speakers
[10] reg
[10] first
[10] webinar

Top Words in Tweet in G4:
[3] wasim
[3] ahmed
[2] hdfc
[2] loan
[2] 45063928
[2] case
[2] closed
[2] didnâ
[2] excess
[2] fund

Top Words in Tweet in G6:
[4] uttar
[4] pradesh
[4] love
[4] jihad
[4] wasim
[4] ahmed
[4] becomes
[4] dinesh
[4] rawat
[4] obtains

Top Words in Tweet in G8:
[2] œkidney
[2] health
[2] everyone
[2] everywhereâ
[2] interview
[2] dr
[2] wasim
[2] ahmed
[2] consultant
[2] nephrologist

Top Words in Tweet in G9:
[2] 2020
[2] gearing
[2] one
[2] hell
[2] climax

Top Words in Tweet in G10:
[2] uttar
[2] pradesh
[2] wasim
[2] ahmed
[2] becomes
[2] dinesh
[2] rawat
[2] obtains
[2] fake
[2] identity

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[61] wasim,ahmed
[49] station,house
[49] house,officer
[49] officer,wasim
[49] ahmed,heavy
[49] heavy,rain
[26] rain,created
[26] created,pond
[26] pond,inside
[26] inside,badar

Top Word Pairs in Tweet in G1:
[49] station,house
[49] house,officer
[49] officer,wasim
[49] wasim,ahmed
[49] ahmed,heavy
[49] heavy,rain
[26] rain,created
[26] created,pond
[26] pond,inside
[26] inside,badar

Top Word Pairs in Tweet in G2:
[7] nodexl,marc_smith
[7] marc_smith,was3210
[7] was3210,topcybernews
[4] topcybernews,likely75463987
[4] likely75463987,mikequindazzi
[4] mikequindazzi,connectedaction
[4] #nodexl,nodexl
[4] nodexl,vivianfrancos
[4] vivianfrancos,chidambara09
[4] chidambara09,nodexl

Top Word Pairs in Tweet in G3:
[10] proud,such
[10] such,brilliantly
[10] brilliantly,diverse
[10] diverse,multidisciplinary
[10] multidisciplinary,bunch
[10] bunch,speakers
[10] speakers,reg
[10] reg,first
[10] first,webinar
[9] bakrkaissy,proud

Top Word Pairs in Tweet in G4:
[3] wasim,ahmed
[2] ahmed,hdfc
[2] hdfc,loan
[2] loan,45063928
[2] 45063928,case
[2] case,closed
[2] closed,didnâ
[2] didnâ,excess
[2] excess,fund
[2] fund,mistakenly

Top Word Pairs in Tweet in G6:
[4] uttar,pradesh
[4] pradesh,love
[4] love,jihad
[4] jihad,wasim
[4] wasim,ahmed
[4] ahmed,becomes
[4] becomes,dinesh
[4] dinesh,rawat
[4] rawat,obtains
[4] obtains,fake

Top Word Pairs in Tweet in G8:
[2] œkidney,health
[2] health,everyone
[2] everyone,everywhereâ
[2] everywhereâ,interview
[2] interview,dr
[2] dr,wasim
[2] wasim,ahmed
[2] ahmed,consultant
[2] consultant,nephrologist
[2] nephrologist,mafraq

Top Word Pairs in Tweet in G9:
[2] 2020,gearing
[2] gearing,one
[2] one,hell
[2] hell,climax

Top Word Pairs in Tweet in G10:
[2] uttar,pradesh
[2] pradesh,wasim
[2] wasim,ahmed
[2] ahmed,becomes
[2] becomes,dinesh
[2] dinesh,rawat
[2] rawat,obtains
[2] obtains,fake
[2] fake,identity
[2] identity,card

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@itsparadisegirl
@advoume
@was3210
@nodexl
@bakrkaissy
@vivianfrancos
@marc_smith
@topcybernews
@chidambara09
@reutsmichael1

Top Mentioned in G1:
@itsparadisegirl
@advoume
@jzba_e_pakistan

Top Mentioned in G2:
@nodexl
@was3210
@vivianfrancos
@marc_smith
@topcybernews
@chidambara09
@reutsmichael1
@likely75463987
@mikequindazzi
@connectedaction

Top Mentioned in G3:
@bakrkaissy
@bam_ac_uk
@acad_marketing
@isbe_ecr
@aomconnect
@psanchezc
@kateolearyuk
@was3210

Top Mentioned in G4:
@amd_wasim
@hdfcbank_cares
@hdfc_bank

Top Mentioned in G5:
@harrytdyer
@was3210
@lutzid

Top Mentioned in G6:
@soulefacts

Top Mentioned in G7:
@robelinda2

Top Mentioned in G8:
@sehahealth
@worldkidneyday

Top Mentioned in G9:
@jimmfelton

Top Mentioned in G10:
@opindia_com

Top Tweeters
Top Tweeters in Entire Graph:
@chidambara09
@hdfcbank_cares
@soulefacts
@topcybernews
@vivianfrancos
@super_girl_16
@jose92768183
@mikequindazzi
@opindia_com
@itstahir91

Top Tweeters in G1:
@super_girl_16
@itstahir91
@malaikachaudary
@patakha_10
@naina_ayman
@ch_fahad_nasr
@taqwa_jp5
@akhtarh49375296
@harisbahi007
@jabranshah786

Top Tweeters in G2:
@chidambara09
@topcybernews
@vivianfrancos
@mikequindazzi
@mktdiginews
@jmirpub
@phat_controller
@likely75463987
@charliebilello
@was3210

Top Tweeters in G3:
@soloved_leray
@bam_ac_uk
@kateolearyuk
@drchrisjcarter
@aomconnect
@psanchezc
@emilypachec0
@acad_marketing
@isbe_ecr
@bakrkaissy

Top Tweeters in G4:
@hdfcbank_cares
@hdfc_bank
@amd_wasim
@salehadanish

Top Tweeters in G5:
@sportmgmtprof
@harrytdyer
@lutzid
@jetsumgerl

Top Tweeters in G6:
@soulefacts
@narenrajam
@kumaresan2976
@b88124569bharat

Top Tweeters in G7:
@robelinda2
@ashchandler82
@khurrambegg

Top Tweeters in G8:
@jose92768183
@sehahealth
@worldkidneyday

Top Tweeters in G9:
@jimmfelton
@wasim___ahmed

Top Tweeters in G10:
@opindia_com
@vishubh17232456


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