The graph represents a network of 146 Twitter users whose recent tweets contained "theirworld", 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, 06 December 2021 at 22:36 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 45-minute period from Sunday, 28 November 2021 at 15:07 UTC to Monday, 06 December 2021 at 20:52 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 : 146
Unique Edges : 266
Edges With Duplicates : 163
Total Edges : 429
Number of Edge Types : 5
Replies to : 33
Mentions : 223
Retweet : 69
Tweet : 30
MentionsInRetweet : 74
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0,0484429065743945
Reciprocated Edge Ratio : 0,0924092409240924
Connected Components : 9
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 131
Maximum Edges in a Connected Component : 414
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2,563307
Graph Density : 0,0143127066603684
Modularity : 0,457493
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 146 Twitter users whose recent tweets contained "theirworld", 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, 06 December 2021 at 22:36 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 45-minute period from Sunday, 28 November 2021 at 15:07 UTC to Monday, 06 December 2021 at 20:52 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 : theirworld
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:
[60] refugee,children [40] safe,place [40] place,learn [39] young,refugee [30] children,like [29] like,nilia [26] projects,help [26] help,young [26] manage,trauma [26] trauma,support Top Word Pairs in Tweet in G1:
[49] refugee,children [30] safe,place [30] place,learn [29] young,refugee [20] children,like [19] like,nilia [17] projects,help [17] help,young [17] manage,trauma [17] trauma,support Top Word Pairs in Tweet in G2:
[10] olajidecharles_,britishcouncil [10] britishcouncil,mollerinstitute [10] mollerinstitute,cambridge_uni [10] cambridge_uni,lanreshaper [10] lanreshaper,ogbenidipo [10] ogbenidipo,eaa_foundation [10] eaa_foundation,theirworld [10] theirworld,wearegcm [10] wearegcm,fcdogovuk [10] fcdogovuk,ngbritish Top Word Pairs in Tweet in G3:
[11] refugee,children [10] young,refugee [10] children,like [10] like,nilia [10] safe,place [10] place,learn [9] projects,help [9] help,young [9] manage,trauma [9] trauma,support Top Word Pairs in Tweet in G5:
[2] starting,feel [2] feel,lot [2] lot,like [2] like,christmas [2] christmas,ve [2] ve,donned [2] donned,deck [2] deck,halls [2] halls,boughs [2] boughs,bolly Top Word Pairs in Tweet in G6:
[2] 90,child's [2] child's,brain [2] brain,develops [2] develops,life [2] life,education [2] education,remains [2] remains,woefully [2] woefully,underfunded [2] underfunded,agree [2] agree,focus Top Word Pairs in Tweet in G9:
[4] #baytna,programme [4] programme,children [4] children,safe [4] safe,positive [4] positive,space [4] space,fun [4] fun,express [4] express,art [4] art,movement [4] movement,experience Top Word Pairs in Tweet in G10:
[2] theirworld,global [2] global,youth [2] youth,ambassador [2] ambassador,apply [2] apply,apply [2] apply,join [2] join,#youth [2] #youth,#education [2] #education,#societyandculture [2] #societyandculture,#entrepreneurs 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 G8:
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 G7:
Top Mentioned in G8:
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: