The graph represents a network of 833 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, 07 June 2022 at 05:30 UTC.
The requested start date was Tuesday, 07 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, 22-hour, 33-minute period from Tuesday, 24 May 2022 at 00:33 UTC to Monday, 06 June 2022 at 23:07 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 : 833
Unique Edges : 668
Edges With Duplicates : 1596
Total Edges : 2264
Number of Edge Types : 5
Retweet : 564
MentionsInRetweet : 837
Replies to : 130
Mentions : 512
Tweet : 221
Self-Loops : 237
Reciprocated Vertex Pair Ratio : 0.0399290150842946
Reciprocated Edge Ratio : 0.0767918088737201
Connected Components : 114
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 640
Maximum Edges in a Connected Component : 2007
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.108003
Graph Density : 0.00169106103980054
Modularity : 0.41408
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 833 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, 07 June 2022 at 05:30 UTC.
The requested start date was Tuesday, 07 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, 22-hour, 33-minute period from Tuesday, 24 May 2022 at 00:33 UTC to Monday, 06 June 2022 at 23:07 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:
[106] graph,databases [86] certified,neo4j [85] neo4j,today [84] today,show [84] show,expertise [84] expertise,graph [84] databases,employer [84] employer,potential [84] potential,clients [84] clients,free Top Word Pairs in Tweet in G1:
[87] graph,databases [86] certified,neo4j [84] neo4j,today [84] today,show [84] show,expertise [84] expertise,graph [84] databases,employer [84] employer,potential [84] potential,clients [84] clients,free Top Word Pairs in Tweet in G2:
[16] knowledge,graph [16] ãƒ,ム[13] graph,solutions [13] using,neo4j [12] solutions,using [11] #deeplearning,#learning [10] neo4j,#deeplearning [10] #learning,#ui [5] graph,neo4j [4] construct,knowledge Top Word Pairs in Tweet in G3:
[16] neo4j,graphconnect [13] elastic,opensearchproj [12] neo4j,elastic [12] opensearchproj,opencypher [9] austin,tx [8] mesirii,neo4j [8] very,excited [8] excited,speaking [8] speaking,#graphconnect [8] #graphconnect,again Top Word Pairs in Tweet in G4:
[18] neo4j,#neo4j [10] video,tutorial [10] tutorial,daschners [10] daschners,builds [10] builds,previous [10] previous,videos [10] videos,backups [10] backups,running [10] running,neo4j [10] neo4j,database Top Word Pairs in Tweet in G5:
[14] data,science [13] upcoming,event [13] 2022,9am [13] 9am,pt [13] pt,12pm [12] 12pm,7pm [10] tues,june [10] 7pm,eat [10] eat,30pm [9] graph,data Top Word Pairs in Tweet in G6:
[18] icijorg,leader [18] leader,global [18] global,impactful [18] impactful,#datajournalism [18] #datajournalism,projects [18] re,currently [18] currently,hiring [18] hiring,neo4j [17] datajournalism,icijorg [17] projects,theyâ Top Word Pairs in Tweet in G7:
[2] added,demo [2] demo,graphileon [2] graphileon,app [2] app,library [2] library,one [2] one,illustrates [2] illustrates,dynamic [2] dynamic,styling [2] styling,nodes [2] memgraphdb,redislabs Top Word Pairs in Tweet in G8:
[27] knowledge,graph [27] graph,solutions [27] solutions,using [27] using,neo4j [27] neo4j,#neo4j [27] #neo4j,#datascientist [27] #datascientist,#deeplearning [27] #deeplearning,#iot [26] codingpseudo,knowledge [24] #iot,#artificial_inteâ Top Word Pairs in Tweet in G9:
[31] #hacktip,until [31] until,finally [31] finally,around [31] around,watching [31] video,parsing [31] parsing,#bloodhound [31] #bloodhound,jsons [31] jsons,jq [30] snovvcrash,#hacktip [19] watching,ippsecâ Top Word Pairs in Tweet in G10:
[17] hi,response [17] response,henrygayle [17] henrygayle,djbravo47 [17] djbravo47,#100daysofcode [17] #100daysofcode,#tech [17] #tech,#cybersecurity [17] #cybersecurity,fiverr [15] mdalami54029965,hi [13] graph,data [9] neo4j,graph Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: