The graph represents a network of 7,701 Twitter users whose tweets in the requested range contained ""disaster recovery" OR "disaster response"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 January 2021 at 20:48 UTC.
The requested start date was Saturday, 16 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 17-hour, 4-minute period from Monday, 04 January 2021 at 01:48 UTC to Friday, 15 January 2021 at 18:53 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 : 7701
Unique Edges : 3097
Edges With Duplicates : 11121
Total Edges : 14218
Number of Edge Types : 5
Tweet : 1569
Mentions : 1126
Replies to : 424
Retweet : 5215
MentionsInRetweet : 5884
Self-Loops : 1592
Reciprocated Vertex Pair Ratio : 0.0113212955001433
Reciprocated Edge Ratio : 0.0223891171886071
Connected Components : 1580
Single-Vertex Connected Components : 941
Maximum Vertices in a Connected Component : 2130
Maximum Edges in a Connected Component : 4445
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.947933
Graph Density : 0.000119009674911506
Modularity : 0.52445
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,701 Twitter users whose tweets in the requested range contained "%22disaster recovery%22 OR %22disaster response%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 January 2021 at 20:48 UTC.
The requested start date was Saturday, 16 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 17-hour, 4-minute period from Monday, 04 January 2021 at 01:48 UTC to Friday, 15 January 2021 at 18:53 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 : %22disaster recovery%22 OR %22disaster response%22
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:
[2126] disaster,response [2069] disaster,recovery [897] response,force [837] national,disaster [807] force,ndrf [768] international,disaster [747] tag,international [726] donate,syria [724] syria,more [724] more,links Top Word Pairs in Tweet in G1:
[542] disaster,recovery [172] disaster,response [70] recovery,plan [61] business,continuity [31] backup,disaster [30] recovery,business [26] response,force [24] recovery,plans [22] learn,more [20] five,key Top Word Pairs in Tweet in G2:
[741] disaster,response [738] response,force [729] force,ndrf [723] national,disaster [699] tag,international [699] international,disaster [693] matter,great [693] great,pride [693] pride,india [693] india,national Top Word Pairs in Tweet in G3:
[713] donate,syria [713] syria,more [713] more,links [713] links,below [711] monipersona,donate Top Word Pairs in Tweet in G4:
[475] links,síria [475] síria,atenção [475] atenção,petições [475] petições,não [475] não,ajudam [475] ajudam,pois [475] pois,governo [475] governo,não [475] não,importância [475] importância,doe Top Word Pairs in Tweet in G5:
[365] disaster,recovery [358] scott,morrison [358] spent,cent [358] cent,4b [358] 4b,disaster [203] morrison,hasn [203] hasn,spent [202] roads,closed [202] closed,flood [202] flood,waters Top Word Pairs in Tweet in G6:
[255] disaster,response [253] thank,brave [253] brave,talented [253] talented,servicemembers [253] servicemembers,working [253] working,keep [253] keep,#taiwan [253] #taiwan,safe [253] safe,disaster [253] response,air Top Word Pairs in Tweet in G7:
[2] monipersona,donate [2] donate,syria [2] syria,more [2] more,links [2] links,below Top Word Pairs in Tweet in G8:
[166] disaster,recovery [30] business,continuity [27] recovery,plan [23] backup,disaster [23] recovery,journal [21] #backup,#disasterrecovery [18] recovery,business [14] #businesscontinuity,#disasterrecovery [13] january,28th [13] pandemic,compelling Top Word Pairs in Tweet in G9:
[3] monipersona,donate [3] donate,syria [3] syria,more [3] more,links [3] links,below Top Word Pairs in Tweet in G10:
[23] heiiwokitti,more [2] ryoubxredyet,links [2] links,síria [2] síria,atenção [2] atenção,petições [2] petições,não [2] não,ajudam [2] ajudam,pois [2] pois,governo [2] governo,não Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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 G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: