The graph represents a network of 813 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 June 2022 at 05:30 UTC.
The requested start date was Tuesday, 14 June 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, 21-hour, 7-minute period from Tuesday, 31 May 2022 at 02:17 UTC to Monday, 13 June 2022 at 23:24 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 : 813
Unique Edges : 774
Edges With Duplicates : 2206
Total Edges : 2980
Number of Edge Types : 5
Replies to : 171
Tweet : 264
Retweet : 666
MentionsInRetweet : 1072
Mentions : 807
Self-Loops : 277
Reciprocated Vertex Pair Ratio : 0.0661881977671451
Reciprocated Edge Ratio : 0.12415856394914
Connected Components : 121
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 635
Maximum Edges in a Connected Component : 2767
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.907244
Graph Density : 0.00202527887347839
Modularity : 0.323645
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 813 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 June 2022 at 05:30 UTC.
The requested start date was Tuesday, 14 June 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, 21-hour, 7-minute period from Tuesday, 31 May 2022 at 02:17 UTC to Monday, 13 June 2022 at 23:24 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 : neo4j
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:
[109] graph,databases [105] data,science [88] graph,data [78] neo4j,today [77] certified,neo4j [77] today,show [77] show,expertise [77] expertise,graph [77] databases,employer [77] employer,potential Top Word Pairs in Tweet in G1:
[85] graph,databases [77] certified,neo4j [77] neo4j,today [77] today,show [77] show,expertise [77] expertise,graph [77] databases,employer [77] employer,potential [77] potential,clients [77] clients,free Top Word Pairs in Tweet in G2:
[48] live,graphconnect [45] neo4j,live [40] graphconnect,2022 [39] data,science [38] neo4j,#graphconnect [34] meet,emiel [34] emiel,eifrem [34] eifrem,ceo [34] ceo,co [34] co,founder Top Word Pairs in Tweet in G3:
[15] data,science [15] graph,data [15] google,cloud [13] science,google [11] cloud,neo4j [11] neo4j,aurads [11] aurads,vertex [11] vertex,ai [4] ãƒ,ム[4] neo4j,migrations Top Word Pairs in Tweet in G4:
[12] #java,community [11] here's,graphy [11] graphy,duke [11] duke,beautiful [11] beautiful,day [11] day,#java [11] community,colleagues [11] colleagues,neo4j [11] neo4j,build [10] rotnroll666,here's Top Word Pairs in Tweet in G5:
[8] elastic,opensearchproj [7] mesirii,neo4j [7] neo4j,elastic [7] opensearchproj,opencypher [3] great,see [3] see,update [3] update,gql [3] gql,standard [3] standard,#gql [3] #gql,#sql Top Word Pairs in Tweet in G6:
[19] graph,data [14] day,#100daysofcode [14] #100daysofcode,learn [14] neo4j,graph [14] data,science [14] python,client [11] neo4j,#neo4j [11] avizyt,day [11] started,neo4j [11] science,python Top Word Pairs in Tweet in G7:
[22] connected,data [22] data,fellowship [11] neo4j,connected [10] attn,developers [10] developers,still [10] still,time [10] time,apply [10] apply,icij [10] icij,neo4j [10] fellowship,ll Top Word Pairs in Tweet in G8:
[12] data,science [9] graph,data [7] data,scientists [6] neo4j,graph [6] science,google [6] google,cloud [5] neo4j,#neo4j [5] despite,increasing [5] increasing,demand [5] demand,data Top Word Pairs in Tweet in G9:
[11] austin,texas [11] neo4j,#graphconnect [10] count,down [7] graphconnect,2022 [7] down,over [7] over,fujitsulabs [7] fujitsulabs,larus [7] larus,team [7] team,waiting [7] waiting,graphconnect2022 Top Word Pairs in Tweet in G10:
[10] hi,response [10] response,henrygayle [10] henrygayle,djbravo47 [10] djbravo47,#100daysofcode [10] #100daysofcode,#tech [10] #tech,#cybersecurity [10] #cybersecurity,fiverr [9] neo4j,graph [9] mdalami54029965,hi [7] python,client Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G10: