#EPHFellow, Twitter, 11/25/2019 8:37:04 AM, 217230


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#EPHFellow Twitter NodeXL SNA Map and Report for Monday, 25 November 2019 at 08:36 UTC
#EPHFellow Twitter NodeXL SNA Map and Report for Monday, 25 November 2019 at 08:36 UTC
From:
scotpublichealth
Uploaded on:
November 25, 2019
Short Description:
#EPHFellow via NodeXL http://bit.ly/2qwsIjv
@juanjrachadell
@euphanxt
@friedaschwarzk
@ephconference
@kalilajaeger
@natasha_azzmus
@euphacts
@gmacscotland
@doctorblooz
@ucl_dphe

Top hashtags:
#eph2019
#ephfellow
#migranthealth
#dph2019
#publichealth
#health
#eu

Description:
Description
The graph represents a network of 79 Twitter users whose recent tweets contained "#EPHFellow", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 November 2019 at 08:36 UTC.

The tweets in the network were tweeted over the 5-day, 4-hour, 35-minute period from Tuesday, 19 November 2019 at 16:45 UTC to Sunday, 24 November 2019 at 21:20 UTC.

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 : 79
Unique Edges : 215
Edges With Duplicates : 176
Total Edges : 391
Self-Loops : 45
Reciprocated Vertex Pair Ratio : 0.183856502242152
Reciprocated Edge Ratio : 0.310606060606061
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 79
Maximum Edges in a Connected Component : 391
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.261176
Graph Density : 0.0428432327166504
Modularity : 0.294862
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 79 Twitter users whose recent tweets contained "#EPHFellow", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 November 2019 at 08:36 UTC.

The tweets in the network were tweeted over the 5-day, 4-hour, 35-minute period from Tuesday, 19 November 2019 at 16:45 UTC to Sunday, 24 November 2019 at 21:20 UTC.

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 : TwitterSearch
Graph Term : #EPHFellow
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 : Followers
Vertex Alpha : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[5] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=217122
[3] https://twitter.com/EPHconference/status/1194232514430357505
[2] https://twitter.com/EPHconference/status/1198161659354845184
[2] https://twitter.com/EPHconference/status/1198245905897381888
[1] https://academic.oup.com/eurpub/article/29/Supplement_3/28/5628048
[1] https://twitter.com/stefanbuttigieg/status/1197093919072247808
[1] https://twitter.com/stefanbuttigieg/status/1197067676268429312
[1] https://twitter.com/EUPHAnxt/status/1198610009229275142
[1] https://www.instagram.com/p/B5PXegVn_bH/?igshid=1tgnwn6d949pq
[1] https://twitter.com/EUPHActs/status/1197807394140643329

Top URLs in Tweet in G1:
[2] https://twitter.com/EPHconference/status/1198161659354845184
[1] https://www.instagram.com/p/B5ECMlOnxM3/?igshid=k67c081itn97
[1] https://twitter.com/EUPHAnxt/status/1197056454215135234
[1] https://twitter.com/EUPHAnxt/status/1197188626154762240
[1] https://twitter.com/EUPHActs/status/1197188294599225345
[1] https://twitter.com/EUPHActs/status/1197807394140643329
[1] https://twitter.com/EPHconference/status/1194232514430357505
[1] https://twitter.com/EPHconference/status/1198245905897381888
[1] https://www.instagram.com/p/B5PXegVn_bH/?igshid=1tgnwn6d949pq
[1] https://twitter.com/EUPHAnxt/status/1198610009229275142

Top URLs in Tweet in G2:
[1] https://drive.google.com/file/d/1XiWn4svbjgzi6iF9cJhGw02PPlB9HbN-/view?usp=sharing
[1] https://twitter.com/EPHconference/status/1194232514430357505

Top URLs in Tweet in G3:
[1] https://twitter.com/EPHconference/status/1194232514430357505
[1] https://twitter.com/EPHconference/status/1198245905897381888

Top URLs in Tweet in G5:
[5] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=217122

Top Domains
Top Domains in Tweet in Entire Graph:
[14] twitter.com
[5] nodexlgraphgallery.org
[2] instagram.com
[1] oup.com
[1] google.com

Top Domains in Tweet in G1:
[11] twitter.com
[2] instagram.com
[1] oup.com

Top Domains in Tweet in G2:
[1] google.com
[1] twitter.com

Top Domains in Tweet in G3:
[2] twitter.com

Top Domains in Tweet in G5:
[5] nodexlgraphgallery.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[142] eph2019
[115] ephfellow
[18] migranthealth
[17] dph2019
[11] publichealth
[8] health
[8] eu
[7] migrants
[6] euphanxt
[5] migration



Top Hashtags in Tweet in G1:
[54] eph2019
[44] ephfellow
[16] dph2019
[2] wcph2020
[1] euphaateph
[1] euphaateph2019
[1] dhisseph
[1] publichealthpt

Top Hashtags in Tweet in G2:
[31] eph2019
[28] ephfellow
[7] publichealth
[4] eu
[3] migranthealth
[2] euphanxt
[2] migration
[1] euphaateph2019
[1] vaccine
[1] migrant

Top Hashtags in Tweet in G3:
[30] eph2019
[28] ephfellow
[12] migranthealth
[6] health
[6] migrants
[4] migrant
[4] healthcare
[4] mentalhealth
[3] finland
[3] germany

Top Hashtags in Tweet in G4:
[13] eph2019
[5] ephfellow
[1] germany
[1] mhpss
[1] publichealth
[1] stateofhealth
[1] eu

Top Hashtags in Tweet in G5:
[9] eph2019
[2] ephfellow
[2] publichealth
[2] eu
[1] migrants
[1] health
[1] euphaateph2019
[1] dph2019
[1] digitalhealth

Top Hashtags in Tweet in G6:
[8] ephfellow
[5] eph2019
[4] euphanxt
[3] migranthealth
[2] migration
[1] publichealth

Top Words
Top Words in Tweet in Entire Graph:
[161] Words in Sentiment List#1: Positive
[111] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[5232] Non-categorized Words
[5504] Total Words
[199] #ephfellow
[193] #eph2019
[121] health
[53] migrants
[42] ephconference

Top Words in Tweet in G1:
[66] #ephfellow
[64] #eph2019
[40] health
[25] #dph2019
[24] migrants
[18] plenary
[16] digital
[15] healthcare
[14] dr
[12] listen

Top Words in Tweet in G2:
[44] #ephfellow
[43] #eph2019
[16] health
[13] next
[13] policy
[13] #publichealth
[12] money
[11] migrants
[8] euphanxt
[6] year

Top Words in Tweet in G3:
[42] #eph2019
[42] #ephfellow
[21] health
[17] ephconference
[15] #migranthealth
[8] access
[7] migrants
[6] data
[6] #health
[6] barriers

Top Words in Tweet in G4:
[26] health
[21] #eph2019
[21] #ephfellow
[14] public
[14] digital
[13] odoneanna
[11] stefanbuttigieg
[10] natasha_azzmus
[10] wricciardi
[8] ephconference

Top Words in Tweet in G5:
[15] #eph2019
[15] #ephfellow
[13] health
[8] ephconference
[8] #publichealth
[7] natasha_azzmus
[7] public
[6] euphacts
[6] #dph2019
[5] nodexl

Top Words in Tweet in G6:
[11] #ephfellow
[9] migrants
[8] #eph2019
[5] health
[5] ll
[4] those
[4] need
[4] #euphanxt
[4] culture
[4] both

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[78] #eph2019,#ephfellow
[39] public,health
[28] #ephfellow,#eph2019
[22] #eph2019,plenary
[21] digital,health
[19] health,services
[17] listen,dr
[17] dr,bernardette
[17] bernardette,kumar
[17] kumar,debunk

Top Word Pairs in Tweet in G1:
[22] #eph2019,#ephfellow
[14] #eph2019,plenary
[14] #dph2019,#eph2019
[12] listen,dr
[12] dr,bernardette
[12] bernardette,kumar
[12] kumar,debunk
[12] debunk,common
[12] common,myths
[12] myths,associated

Top Word Pairs in Tweet in G2:
[13] #eph2019,#ephfellow
[12] #ephfellow,#eph2019
[8] #eph2019,#publichealth
[6] public,health
[6] john,middleton
[6] middleton,aspheroffice
[6] aspheroffice,policy
[6] policy,wrong
[6] wrong,money
[6] money,world

Top Word Pairs in Tweet in G3:
[27] #eph2019,#ephfellow
[9] #ephfellow,#eph2019
[5] health,services
[4] #healthcare,access
[4] #ephfellow,rki_de
[4] #migranthealth,ephconference
[3] #migranthealth,#eph2019
[3] maryam,gardisi
[3] #migranthealth,monitoring
[3] europe,ephconference

Top Word Pairs in Tweet in G4:
[14] public,health
[11] digital,health
[9] #eph2019,#ephfellow
[6] interested,digital
[6] health,check
[6] check,out
[6] out,paper
[6] paper,prepared
[6] prepared,stefanbuttigieg
[6] stefanbuttigieg,odoneanna

Top Word Pairs in Tweet in G5:
[7] public,health
[6] ephconference,euphacts
[6] #dph2019,#ephfellow
[5] #eph2019,nodexl
[5] nodexl,ephconference
[5] euphacts,sfspasso
[5] sfspasso,euphanxt
[5] euphanxt,ucl_dphe
[5] ucl_dphe,natasha_azzmus
[5] natasha_azzmus,eurohealthnet

Top Word Pairs in Tweet in G6:
[5] #eph2019,#ephfellow
[4] #euphanxt,#ephfellow
[2] always,bears
[2] bears,repeating
[2] repeating,#migration
[2] #migration,background
[2] background,itself
[2] itself,risk
[2] risk,factor
[2] factor,experiences

Top Replied-To
Top Replied-To in Entire Graph:
@juanjrachadell

Top Replied-To in G2:
@juanjrachadell

Top Mentioned
Top Mentioned in Entire Graph:
@ephconference
@natasha_azzmus
@odoneanna
@stefanbuttigieg
@euphanxt
@euphacts
@wricciardi
@astaines
@who_europe
@kalilajaeger

Top Mentioned in G1:
@kalilajaeger
@euphanxt
@stefanbuttigieg
@odoneanna
@sudharam
@luissaboganunes
@ephconference
@euphacts
@wricciardi
@natasha_azzmus

Top Mentioned in G2:
@euphanxt
@ephconference
@aspheroffice
@anne_bucher
@euphacts
@faragaetano
@marcharlott
@sara_mcquinn
@severonis
@who_europe

Top Mentioned in G3:
@ephconference
@rki_de
@lmvoipio
@stefanbuttigieg
@marcharlott
@lshtm
@chariteberlin
@karolinskainst
@odoneanna
@wricciardi

Top Mentioned in G4:
@odoneanna
@stefanbuttigieg
@natasha_azzmus
@wricciardi
@ephconference
@euphacts
@astaines
@marcharlott
@euphanxt
@anne_bucher

Top Mentioned in G5:
@ephconference
@natasha_azzmus
@euphacts
@sfspasso
@euphanxt
@ucl_dphe
@eurohealthnet
@antounkh
@tolonen_hanna
@who_europe

Top Mentioned in G6:
@oecddev
@ephconference
@kalilajaeger

Top Tweeters
Top Tweeters in Entire Graph:
@petermbenglish
@mojamesapted
@migrantsaid
@gmacscotland
@eu_commission
@astaines
@wricciardi
@who_europe
@doctorblooz
@stefanbuttigieg

Top Tweeters in G1:
@petermbenglish
@mojamesapted
@bakaburg1
@gasteinforum
@areyoureadyteam
@debmir
@moniquelhussier
@pattykostkova
@sudharam
@m_boeckmann

Top Tweeters in G2:
@migrantsaid
@eu_commission
@christina_d_s
@salvo_parisi
@amc_83
@pedmondsonjones
@drabagnall
@aspheroffice
@jlsandoval
@severonis

Top Tweeters in G3:
@cristinadarold
@lshtm
@marcharlott
@diana_podar
@karolinskainst
@rki_de
@phmrsection
@ephconference
@chariteberlin
@blogensante

Top Tweeters in G4:
@astaines
@wricciardi
@stefanbuttigieg
@publichealthbot
@micheclb
@euphacts
@ricmexia
@odoneanna
@eupha_hps
@siti_hta

Top Tweeters in G5:
@gmacscotland
@who_europe
@doctorblooz
@scottlgreer
@melihozhan
@natasha_azzmus
@eurohealthnet
@ucl_dphe
@sfspasso
@tolonen_hanna

Top Tweeters in G6:
@oecddev
@kerrynhusk
@donortracker
@kalilajaeger