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‎docs/index.html‎

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<div class="container">
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<header>
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<h1>Unified Graph Analysis Report</h1>
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<p class="timestamp">Generated on: <strong>2025-11-01 18:07:11</strong></p>
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<p class="timestamp">Generated on: <strong>2025-11-01 18:15:59</strong></p>
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</header>
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<div class="tabs">
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<!-- Co-attendance Degree Tab -->
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<div id="coattendance" class="tab-pane">
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<h2>Degree (Co-attendance) Analysis</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20coattendance%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20coattendance%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">People are connected if they attend the same meeting; a person's degree is how many unique people they co-attended with.</p>
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<h3>Interactive Network Visualization</h3>
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<!-- Field Degree Tab -->
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<div id="field-degree" class="tab-pane">
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<h2>JSON Field Degree Analysis</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20field-degree%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20field-degree%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">Fields are connected when they appear together inside the same JSON object; a field's degree is the number of distinct fields it co-occurs with.</p>
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<h3>Top Fields by Degree</h3>
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</thead>
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<tbody>
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<tr><td>1</td><td>host</td><td>11</td></tr>
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<tr><td>2</td><td>typeOfMeeting</td><td>11</td></tr>
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<tr><td>3</td><td>purpose</td><td>11</td></tr>
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<tr><td>2</td><td>date</td><td>11</td></tr>
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<tr><td>3</td><td>workingDocs</td><td>11</td></tr>
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<tr><td>4</td><td>peoplePresent</td><td>11</td></tr>
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<tr><td>5</td><td>date</td><td>11</td></tr>
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<tr><td>6</td><td>documenter</td><td>11</td></tr>
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<tr><td>7</td><td>workingDocs</td><td>11</td></tr>
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<tr><td>5</td><td>documenter</td><td>11</td></tr>
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<tr><td>6</td><td>typeOfMeeting</td><td>11</td></tr>
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<tr><td>7</td><td>purpose</td><td>11</td></tr>
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<tr><td>8</td><td>status</td><td>11</td></tr>
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<tr><td>9</td><td>meetingVideoLink</td><td>10</td></tr>
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<tr><td>10</td><td>tags</td><td>9</td></tr>
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<tr><td>10</td><td>type</td><td>9</td></tr>
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</tbody>
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</table>
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<!-- Path Structure Tab -->
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<div id="path-structure" class="tab-pane">
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<h2>JSON Path Structure Analysis</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20path-structure%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20path-structure%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">Each JSON path represents a unique nested route (keys/array indices); depth shows how deeply information is nested.</p>
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<ul class="summary-list">
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<!-- Centrality Tab -->
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<div id="centrality" class="tab-pane">
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<h2>Field Centrality (Co-occurrence)</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20centrality%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20centrality%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">Centrality scores highlight fields that are well-connected (degree), act as bridges (betweenness), are close to others (closeness), or connect to other influential fields (eigenvector).</p>
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<table>
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</thead>
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<tbody>
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<tr><td>1</td><td>host</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>2</td><td>typeOfMeeting</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>3</td><td>purpose</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>2</td><td>date</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>3</td><td>workingDocs</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>4</td><td>peoplePresent</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>5</td><td>date</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>6</td><td>documenter</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>7</td><td>workingDocs</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>5</td><td>documenter</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>6</td><td>typeOfMeeting</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>7</td><td>purpose</td><td>0.256</td><td>0.001</td><td>0.256</td><td>0.309</td></tr>
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<tr><td>8</td><td>status</td><td>0.256</td><td>0.030</td><td>0.256</td><td>0.000</td></tr>
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<tr><td>9</td><td>meetingVideoLink</td><td>0.233</td><td>0.000</td><td>0.234</td><td>0.290</td></tr>
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<tr><td>10</td><td>tags</td><td>0.209</td><td>0.000</td><td>0.209</td><td>0.000</td></tr>
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<tr><td>10</td><td>type</td><td>0.209</td><td>0.000</td><td>0.209</td><td>0.000</td></tr>
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</tbody>
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</table>
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</div>
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<!-- Clustering Tab -->
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<div id="clustering" class="tab-pane">
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<h2>Clustering (Field Co-occurrence Graph)</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20clustering%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20clustering%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">Clustering measures how tightly a field's neighbors are connected to each other (higher means more triads).</p>
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<p><strong>Average Clustering Coefficient:</strong> 0.882</p>
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<tr><th>Rank</th><th>Field</th><th>Clustering</th></tr>
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</thead>
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<tbody>
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<tr><td>1</td><td>tags</td><td>1.000</td></tr>
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<tr><td>2</td><td>noSummaryGiven</td><td>1.000</td></tr>
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<tr><td>3</td><td>workgroup</td><td>1.000</td></tr>
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<tr><td>4</td><td>agendaItems</td><td>1.000</td></tr>
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<tr><td>5</td><td>canceledSummary</td><td>1.000</td></tr>
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<tr><td>6</td><td>workgroup_id</td><td>1.000</td></tr>
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<tr><td>7</td><td>type</td><td>1.000</td></tr>
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<tr><td>8</td><td>meetingInfo</td><td>1.000</td></tr>
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<tr><td>1</td><td>type</td><td>1.000</td></tr>
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<tr><td>2</td><td>meetingInfo</td><td>1.000</td></tr>
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<tr><td>3</td><td>agendaItems</td><td>1.000</td></tr>
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<tr><td>4</td><td>workgroup_id</td><td>1.000</td></tr>
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<tr><td>5</td><td>workgroup</td><td>1.000</td></tr>
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<tr><td>6</td><td>canceledSummary</td><td>1.000</td></tr>
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<tr><td>7</td><td>noSummaryGiven</td><td>1.000</td></tr>
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<tr><td>8</td><td>tags</td><td>1.000</td></tr>
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<tr><td>9</td><td>timestampedVideo</td><td>1.000</td></tr>
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<tr><td>10</td><td>text</td><td>1.000</td></tr>
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<tr><td>10</td><td>dueDate</td><td>1.000</td></tr>
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</tbody>
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</table>
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</div>
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<!-- Connected Components Tab -->
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<div id="components" class="tab-pane">
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<h2>Connected Components (Field Co-occurrence Graph)</h2>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=Method%3A%20components%0A%0AFile%3A%20docs/index.html%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<a href="https://github.com/SingularityNET-Archive/Graph-Python-scripts/issues/new?template=analysis_review&body=%2A%2AMethod%3A%2A%2A%20components%0A%0A%2A%2AFile%3A%2A%2A%20docs/index.html%0A%0A---%0A%0A" class="review-button" target="_blank">Review This Analysis</a>
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<p class="explanation">Components are groups of fields that are all reachable from each other; multiple components suggest separate substructures.</p>
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<ul class="summary-list">
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<h3>Sample of Largest Component Nodes (top 10)</h3>
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<ul class="component-list">
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<li>host</li>
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<li>workingDocs</li>
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<li>date</li>
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<li>typeOfMeeting</li>
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<li>mediaLink</li>
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<li>timestampedVideo</li>
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<li>purpose</li>
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<li>peoplePresent</li>
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<li>meetingVideoLink</li>
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<li>mediaLink</li>
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<li>miroBoardLink</li>
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<li>date</li>
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<li>documenter</li>
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<li>otherMediaLink</li>
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</div>

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