The graph represents a network of 500 Twitter users whose recent tweets contained "#EPC2022", 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 Saturday, 02 July 2022 at 18:40 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 16-minute period from Thursday, 23 June 2022 at 12:12 UTC to Saturday, 02 July 2022 at 17:29 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 : 503
Unique Edges : 1426
Edges With Duplicates : 953
Total Edges : 2379
Number of Edge Types : 5
Mentions : 548
Retweet : 650
MentionsInRetweet : 899
Replies to : 33
Tweet : 249
Self-Loops : 251
Reciprocated Vertex Pair Ratio : 0.137569832402235
Reciprocated Edge Ratio : 0.241866175567833
Connected Components : 28
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 447
Maximum Edges in a Connected Component : 2295
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.425473
Graph Density : 0.00645133184954021
Modularity : 0.405145
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=278914
Data Import : The graph represents a network of 500 Twitter users whose recent tweets contained "#EPC2022", 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 Saturday, 02 July 2022 at 18:40 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 16-minute period from Thursday, 23 June 2022 at 12:12 UTC to Saturday, 02 July 2022 at 17:29 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 : #EPC2022
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[53] #epc2022,session [51] european,population [51] population,conference [39] research,group [38] hello,#epc2022 [37] #epc2022,#groningen [36] #epc2022,looking [36] coffee,break [36] day,#epc2022 [34] group,#epc2022 Top Word Pairs in Tweet in G1:
[26] research,group [25] hello,#epc2022 [22] #epc2022,#groningen [21] coffee,break [20] #epc2022,looking [20] looking,two [20] two,postdocs [20] postdocs,join [20] join,kinship [20] kinship,inequalities Top Word Pairs in Tweet in G2:
[21] #epc2022,special [18] special,#demos [16] #epc2022,session [14] make,sure [14] read,#epc2022 [13] building,room [13] today,#epc2022 [12] poster,cafe [12] #epc2022,#groningen [11] thanks,eaps_pop Top Word Pairs in Tweet in G3:
[17] bibliometric,data [15] data,demographic [15] #epc2022,#bibliodemography [13] demographic,research [13] scholarly,migration [12] using,bibliometric [10] workshop,materials [10] #epc2022,session [8] explore,births [8] births,ukrainian Top Word Pairs in Tweet in G4:
[13] today,4pm [13] 4pm,#epc2022 [13] team,members [12] #epc2022,session [7] session,networks [7] networks,exchange [7] exchange,care [7] care,team [7] members,pasqualinimarta [7] pasqualinimarta,di_gessa Top Word Pairs in Tweet in G5:
[11] full,details [9] good,morning [8] morning,#poptwitter [8] day,full [6] migrant,populations [6] #epc2022,miss [6] miss,members' [6] hope,great [6] day,#epc2022 [6] phd,network Top Word Pairs in Tweet in G6:
[7] present,research [7] miss,presentation [7] covid,19 [7] 19,pandemic [6] #epc2022,friday [5] disability,free [5] very,interesting [5] #epc2022,#poptwitter [5] distance,norms [5] schnorc,rees_alice Top Word Pairs in Tweet in G7:
[27] european,population [27] population,conference [26] conference,2022 [14] tomorrow,european [14] 2022,#epc2022 [9] #epc2022,tomorrow [7] covid,19 [6] #epc2022,today [6] presentation,tomorrow [6] 2022,poster Top Word Pairs in Tweet in G8:
[8] #rowdyga,#epc2022ga [8] #epc2022ga,#epc2022 [4] #rowdyga,#epc2022 [3] #epc2022ga,#rowdyga [3] #epc2022,#epc2022ga [3] first,time [2] time,commissioner [2] #rowdyga,#epcga2022 [2] #epcga2022,#epc2022 [2] come,hi Top Word Pairs in Tweet in G9:
[14] cpop_sdu,#epc2022 [8] speakers,today [6] join,postercafé [6] today,btw [6] btw,45 [6] 45,15 [6] 15,pm [5] jim,vaupel [4] 'improvements,forecasting [4] forecasting,methods' Top Word Pairs in Tweet in G10:
[3] present,findings [3] family,climate [3] research,collaboration [3] sandra,krapf [3] beautiful,views [2] one,more [2] more,week [2] week,until [2] until,#epc2022 [2] #epc2022,eaps_pop 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 G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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: