Hive Networks
Hive
Networks
Hive Clusters uses our state-of-the-art database tools and technologies to generate micro-clusters based on audience characteristics, behavior, and sentiment.
Hive’s real-time platform based on social media behavior creates a comparative snapshot of each microcluster and analyzes changes in trends, attitudes, narratives, and sentiment over time.
Hive’s methodology provides customers with a set of actionable insights about each microcluster
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Influential voices
Who are the personalities that are influencing the cluster?
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Response to events
How the cluster reacts to select events
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Willingness to change
Locating audiences that are open to other ideas and positions
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Evolution over time
Trends and changes in sentiment toward issues over time
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Sentiment toward issues
What is the sentiment within the cluster regarding a specific topic?
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Trending topics
What interests the cluster right now
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Basic characteristics
The size of the cluster and its level of activity
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Key terms
The words and phrases to which members of the cluster respond
The Process
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Networks Mapping
Advanced analysis of social media data to create micro-clusters -
Text Analysis
Use of advanced NLP technologies in Hebrew and Arabic to extract insights from text on social media -
Dashboard Dividing
Updated data is presented live in a dashboard that enables various snapshots and analyses -
The Big Picture
Using behavioral studies and geographical data to enhance our knowledge regarding the micro-clusters.