<time class=”entry-date published” datetime=”2019–04–15T10:25:32+00:00">November 1, 2018 <time class=”updated” datetime=”2019–09–12T10:35:33+00:00">November 1, 2018
focus trends (ClientDisruptors) are assigned to ideas
ClientDisruptors are specialized from the master trend
match (ci:ClientIdea)-[:ASSIGNED]->(cd:ClientDisruptor)-[:SPECIALIZES]->(trend:BusinessTrend)
return trend, cd, ci limit 50
Find community of common trends (2 or more) assigned to ideas
i.e.
[TREND 1, TREND 2, TREND 3] have a frequency of x% across all ideas
[TREND 1, TREND 3, TREND 6] have a frequency of x% across all ideas
[TREND 3, TREND 6] have a frequency of x% across all ideas
- download latest DE production dataset https://github.dxc.com/MyDXCGraph/DigitalExplorerDataSet
- using Neo4j desktop
- install new local DE project (3.4.7+)
- extract the DE dataset
- install the required plugin (APOC & Graph Algorithms)
- start the database (note it will upgrade the database to 3.4.7)
- check the required algorithms is available
CALL algo.list
check foralgo.similarity.jaccard
- Reference : https://neo4j.com/docs/graph-algorithms/current/algorithms/similarity-jaccard/