The graph represents a network of 2,330 Twitter users whose tweets in the requested range contained "vitalvoices", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 April 2022 at 05:23 UTC.
The requested start date was Friday, 01 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 120-day, 8-hour, 31-minute period from Wednesday, 01 December 2021 at 08:00 UTC to Thursday, 31 March 2022 at 16:32 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 : 2330
Unique Edges : 3272
Edges With Duplicates : 4495
Total Edges : 7767
Number of Edge Types : 5
Retweet : 1192
MentionsInRetweet : 2613
Mentions : 3353
Tweet : 198
Replies to : 411
Self-Loops : 217
Reciprocated Vertex Pair Ratio : 0.0402713941781571
Reciprocated Edge Ratio : 0.0774247843467284
Connected Components : 55
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 2136
Maximum Edges in a Connected Component : 7429
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.07371
Graph Density : 0.000875875553065749
Modularity : 0.476901
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,330 Twitter users whose tweets in the requested range contained "vitalvoices", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 April 2022 at 05:23 UTC.
The requested start date was Friday, 01 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 120-day, 8-hour, 31-minute period from Wednesday, 01 December 2021 at 08:00 UTC to Thursday, 31 March 2022 at 16:32 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 : vitalvoices
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[166] vital,voices [124] women,leaders [119] ø,ø [104] hinaparvezbutt,vitalvoices [99] prime,minister [99] vitalvoices,women [80] edi,rama [77] minister,edi [75] albanian,prime [74] women,girls Top Word Pairs in Tweet in G1:
[119] ø,ø [104] hinaparvezbutt,vitalvoices [100] vital,voices [88] vitalvoices,women [83] women,leaders [70] really,excited [70] excited,today [70] today,completed [70] completed,fellowship [70] fellowship,program Top Word Pairs in Tweet in G2:
[26] women,leaders [25] vital,voices [25] hillaryclinton,vitalvoices [23] voices,solidarity [23] secretary,hillaryclinton [22] last,night [21] james,smith [21] prime,minister [21] vitalvoices,solidarity [16] smith,williams Top Word Pairs in Tweet in G3:
[11] thesafecityapp,vitalvoices [11] thesafecityapp,bmwfoundation [9] putting,women [9] women,centre [9] centre,sustainable [9] sustainable,development [9] eco,social [9] social,contract [9] elsamariedsilva,thesafecityapp [8] book,#sheis Top Word Pairs in Tweet in G4:
[16] holiday,giveaway [16] giveaway,showing [16] showing,extra [16] extra,love [16] love,local [16] local,small [16] small,business [16] business,partners [16] partners,#pittsburgh [16] #pittsburgh,week Top Word Pairs in Tweet in G5:
[4] see,numbers [4] numbers,lie [4] lie,more [4] more,saudi [4] saudi,attacks [4] attacks,yemen [4] yemen,came [4] came,support [4] forget,11 [4] 11,years Top Word Pairs in Tweet in G6:
[42] pay,attention [42] attention,learn [42] learn,situation [42] situation,follow [42] follow,tigrayan [42] tigrayan,women [42] women,online [42] online,listen [41] womenoftigray,pay [19] vitalvoices,shedecidesgfi Top Word Pairs in Tweet in G7:
[2] urgent,need [2] need,holistic [2] holistic,localised [2] localised,approach [2] approach,address [2] address,gender [2] gender,workforce [2] workforce,gap [2] gap,region [2] preciousnyaramb,gladysviban Top Word Pairs in Tweet in G8:
[61] prince,solomon [61] solomon,ssw [61] ssw,visiting [61] visiting,scholar [61] scholar,present [61] present,modern [61] modern,day [61] day,slavery [61] slavery,social [61] social,work Top Word Pairs in Tweet in G9:
[10] woman_kind,vitalvoices [6] vitalvoices,huairouconnect [4] huairouconnect,vitalvoices [4] femnetprog,woman_kind [4] sdgskenyaforum,woman_kind [4] read,newest [4] newest,edition [4] edition,global [4] global,education [4] education,report Top Word Pairs in Tweet in G10:
[7] encourage,anyone [7] anyone,interested [7] interested,upcoming [7] upcoming,afghanistan [7] afghanistan,animal [7] animal,rescue [7] rescue,mission [7] mission,consider [7] consider,donating [6] owenlaukkanen,encourage Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: