The graph represents a network of 6,513 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, 14 May 2022 at 19:16 UTC.
The requested start date was Saturday, 14 May 2022 at 00:01 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 13-day, 23-hour, 42-minute period from Saturday, 30 April 2022 at 00:06 UTC to Friday, 13 May 2022 at 23:48 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 : 6513
Unique Edges : 3016
Edges With Duplicates : 8958
Total Edges : 11974
Number of Edge Types : 5
Replies to : 367
Retweet : 4039
MentionsInRetweet : 4822
Tweet : 1514
Mentions : 1232
Self-Loops : 1551
Reciprocated Vertex Pair Ratio : 0.0200877785280216
Reciprocated Edge Ratio : 0.0393844117160351
Connected Components : 1453
Single-Vertex Connected Components : 776
Maximum Vertices in a Connected Component : 949
Maximum Edges in a Connected Component : 1919
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 2.983016
Graph Density : 0.000142481055654708
Modularity : 0.529123
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,513 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, 14 May 2022 at 19:16 UTC.
The requested start date was Saturday, 14 May 2022 at 00:01 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 13-day, 23-hour, 42-minute period from Saturday, 30 April 2022 at 00:06 UTC to Friday, 13 May 2022 at 23:48 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:
[2643] disaster,recovery [1012] disaster,response [841] angat,buhay [829] tropang,angat [829] buhay,lahat [828] idea,numbers [828] numbers,country [828] country,14 [828] 14,million [828] million,strong Top Word Pairs in Tweet in G1:
[817] angat,buhay [815] idea,numbers [815] numbers,country [815] country,14 [815] 14,million [815] million,strong [815] strong,tropang [815] tropang,angat [815] buhay,lahat [814] kevinmanalo_,idea Top Word Pairs in Tweet in G2:
[811] disaster,recovery [810] nft,crypto [810] crypto,disaster [810] recovery,sitting [810] sitting,big [810] big,losses [810] losses,feeling [810] feeling,anxious [810] anxious,frozen [810] frozen,idea Top Word Pairs in Tweet in G3:
[587] disaster,recovery [203] disaster,response [76] recovery,plan [63] business,continuity [45] learn,more [42] backup,disaster [34] continuity,disaster [26] recovery,service [26] back,running [25] data,protection Top Word Pairs in Tweet in G4:
[318] #easterncommand,#brahmastracorps [318] #brahmastracorps,#indianarmy [318] #indianarmy,conducts [318] conducts,disaster [318] disaster,management [318] management,training [318] training,newly [318] newly,raised [318] raised,jharkhand [318] jharkhand,state Top Word Pairs in Tweet in G5:
[267] disaster,recovery [45] recovery,plan [38] data,protection [36] backup,disaster [28] recovery,journal [20] business,continuity [19] recovery,strategy [16] #disasterrecovery,plan [14] see,customers [14] customers,use Top Word Pairs in Tweet in G6:
[33] impacted,tornados [29] united,way [25] last,night [22] andover,community [22] someone,know [22] know,directly [22] directly,impacted [22] tornados,friday [22] friday,april [22] april,29 Top Word Pairs in Tweet in G7:
[77] ang,mga [76] kapag,manalo [76] manalo,leni [76] leni,kiko [76] kiko,active [76] active,energetic [76] energetic,participative [76] participative,pa [76] pa,rin [76] rin,ang Top Word Pairs in Tweet in G8:
[49] disaster,recovery [24] morrison,government [22] recovery,funding [21] government,promised [21] promised,disaster [21] funding,never [21] never,delivered [21] delivered,people [21] people,still [21] still,living Top Word Pairs in Tweet in G9:
[22] disaster,response [13] disaster,recovery [8] #dyk,#wildfireawarenessmonth [8] #wildfireawarenessmonth,specialty [8] specialty,teams [8] teams,serving [8] serving,alongside [8] alongside,forestservice [8] forestservice,fema [8] fema,corps Top Word Pairs in Tweet in G10:
[69] recognised,role [69] role,model [69] model,excellent [69] excellent,disaster [69] disaster,mitigation [69] mitigation,activities [69] activities,#odisha [69] #odisha,continues [69] continues,strengthen [69] strengthen,disaster 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 G6:
Top Replied-To in G7:
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: