The graph represents a network of 785 Twitter users whose recent tweets contained "#EPH2021 OR #EPH21", 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 Wednesday, 17 November 2021 at 15:39 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 43-minute period from Monday, 08 November 2021 at 20:23 UTC to Wednesday, 17 November 2021 at 12:07 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
Vertices : 785
Unique Edges : 2956
Edges With Duplicates : 2908
Total Edges : 5864
Self-Loops : 164
Reciprocated Vertex Pair Ratio : 0.140888208269525
Reciprocated Edge Ratio : 0.246979865771812
Connected Components : 19
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 730
Maximum Edges in a Connected Component : 5791
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.059455
Graph Density : 0.0060525802677759
Modularity : 0.357564
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 785 Twitter users whose recent tweets contained "#EPH2021 OR #EPH21", 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 Wednesday, 17 November 2021 at 15:39 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 43-minute period from Monday, 08 November 2021 at 20:23 UTC to Wednesday, 17 November 2021 at 12:07 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 : TwitterSearch
Graph Term : #EPH2021 OR #EPH21
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[361] public,health [120] #euphaateph2021,#eph2021 [114] covid,19 [114] #eph2021,ephconference [111] european,public [92] ephconference,euphacts [85] health,conference [81] #ephfellow,#euphaateph2021 [80] looking,forward [69] ephconference,#eph2021 Top Word Pairs in Tweet in G1:
[83] public,health [78] ephconference,euphacts [66] #eph2021,ephconference [61] promo,code [60] 20,discount [59] entitled,20 [59] until,dec [59] dec,31 [57] valid,until [56] code,valid Top Word Pairs in Tweet in G2:
[97] public,health [67] health,data [37] phiri4eu,tehdas [36] #eph2021,ephconference [33] #euphaateph2021,#eph2021 [33] ephconference,#eph2021 [28] european,health [28] phmrsection,euphadh [28] bernal,delgado [27] covid,19 Top Word Pairs in Tweet in G3:
[95] public,health [44] #obsateph,#eph2021 [42] #ephfellow,#euphaateph2021 [39] covid,19 [33] #euphaateph2021,#eph2021 [32] european,public [29] health,systems [26] #covid19,pandemic [23] health,conference [21] cet,today Top Word Pairs in Tweet in G4:
[42] public,health [19] opening,ceremony [19] pre,conference [18] climate,change [15] ceremony,#eph2021 [14] skyriakideseu,eu_health [12] european,public [11] astaines,regienbb [9] donnellystephen,robinswannmoh [9] health,conference Top Word Pairs in Tweet in G5:
[16] climate,change [14] monica,scatasta [12] health,equity [11] change,justice [9] #eph2021,plenary [9] scatasta,coebanknews [9] world,leaders [9] leaders,clearly [9] clearly,same [9] same,ambition Top Word Pairs in Tweet in G6:
[12] navigational,#healthliteracy [8] kdadaczynski,talking [8] talking,navigational [8] #healthliteracy,grieselennert [8] grieselennert,#eph2021 [8] #eph2021,young [8] young,people [8] people,find [8] find,local [8] local,support Top Word Pairs in Tweet in G7:
[29] #euphaateph2021,#eph2021 [17] #ephfellow,#euphaateph2021 [17] #eph2021,#ephfellow [13] #ephfellow,#mentoring [13] #mentoring,#euphanxt [9] public,health [8] peter,allebeck [7] digitalisation,health [7] covid,19 [6] chronic,diseases Top Word Pairs in Tweet in G8:
[2] perceptions,gender [2] gender,changing [2] changing,rapidly [2] rapidly,researchers [2] researchers,need [2] need,adapt [2] adapt,essential [2] essential,#lgbtq [2] #lgbtq,young [2] young,people Top Word Pairs in Tweet in G9:
[14] health,information [8] here,#eph2021 [8] research,officer [8] european,public [8] public,health [8] health,conference [7] register,now [7] now,#eph2021 [6] sarah,jane [6] jane,flaherty Top Word Pairs in Tweet in G10:
[8] access,information [7] more,equal [7] #migranthealth,#covid19 [5] being,parent [5] parent,finland [5] finland,psychoeducative [5] psychoeducative,programme [5] programme,response [5] response,acute [5] acute,need Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: