Mr BORRELL i FONTELLES
Recorded attendance and names occurring together in the record text.
Countries mentioned in the same records
These records contain both the indexed term and this person's printed name. This does not mean the person mentioned it or was present at the meeting.
Order is “distinctive first” above the reviewed floor of 5 records, then by count. 6 of 52 countries meet the reviewed floor.
52 countries
| Country | Records | Years |
|---|---|---|
| Canada | 6 | 2020–2023 |
| United Kingdom | 7 | 2020–2022 |
| China | 5 | 2020–2022 |
| Ukraine | 7 | 2020–2023 |
| United States | 8 | 2020–2023 |
| Russia | 5 | 2021–2023 |
| India | 4 | 2021–2023 |
| Moldova | 4 | 2020–2022 |
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| Country | Records | Years |
|---|---|---|
| France | 3 | 2020–2021 |
| Germany | 3 | 2020–2021 |
| Hungary | 3 | 2021–2022 |
| Ireland | 3 | 2020–2021 |
| Italy | 3 | 2020–2021 |
| Japan | 3 | 2020–2022 |
| Spain | 3 | 2020–2022 |
| Tunisia | 3 | 2020–2022 |
| Australia | 2 | 2022 |
| Brazil | 2 | 2021–2022 |
| Bulgaria | 2 | 2020–2022 |
| Egypt | 2 | 2022 |
| Israel | 2 | 2021–2022 |
| Norway | 2 | 2020–2022 |
| Poland | 2 | 2020–2022 |
| Turkey | 2 | 2021 |
| Afghanistan | 1 | 2021 |
| Albania | 1 | 2020 |
| Austria | 1 | 2021 |
| Belarus | 1 | 2020 |
| Belgium | 1 | 2020 |
| Bosnia and Herzegovina | 1 | 2020 |
| Croatia | 1 | 2021 |
| Cyprus | 1 | 2021 |
| Czech Republic | 1 | 2021 |
| Denmark | 1 | 2021 |
| Finland | 1 | 2021 |
| Greece | 1 | 2021 |
| Iran | 1 | 2022 |
| Kosovo | 1 | 2020 |
| Libya | 1 | 2020 |
| Lithuania | 1 | 2021 |
| Mexico | 1 | 2021 |
| Montenegro | 1 | 2020 |
| Morocco | 1 | 2022 |
| North Macedonia | 1 | 2020 |
| Pakistan | 1 | 2022 |
| Portugal | 1 | 2021 |
| Romania | 1 | 2021 |
| Slovakia | 1 | 2021 |
| Slovenia | 1 | 2021 |
| South Africa | 1 | 2022 |
| South Korea | 1 | 2020 |
| Sweden | 1 | 2023 |
People present at the same meetings
Both people are recorded present at the same meeting. This does not imply collaboration, agreement, or direct interaction.
Attendance is the index's capture: the College complete, staff rows sporadic — a person absent from a sitting's list may simply be unrecorded.
Shared meetings divided by the smaller of the two people's totals of distinct meetings recorded present, not by years of service. 35 of 55 people meet the floor of 5 meetings. Those rows are ordered by overlap, then count, then name; rows below the floor follow by count, then name.
55 people
| Person | Shared meetings | Years |
|---|---|---|
| Ms JUHANSONE | 6 | 2020–2021 |
| Mr HEMMELGARN | 5 | 2020 |
| Mr SCHINAS | 120 | 2019–2024 |
| Mr ŠEFČOVIČ | 119 | 2019–2024 |
| Mr BRETON | 118 | 2019–2024 |
| Mr HAHN | 116 | 2019–2024 |
| Ms JOUROVÁ | 116 | 2019–2024 |
| Ms FERREIRA | 115 | 2019–2024 |
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About this index
Dataset and reviewed rules
Tier 1: derived from the reviewed attendance index and the reviewed country list by the rules below — no inference, no model. Corpus version 51641dad1a4c; 13,241 records. Weighting constants: owner sitting 2026-08-30; constants changed only by a future sitting. raw count everywhere — the count is the fact; ordering is presentation.
Names and terms in the same records
Rule: vocabulary term (aliases OR-folded) x person printed forms (OR-folded), whole-word FTS record co-occurrence
Order: distinctive first (lift) — records * N / (deg_term * deg_person); N = total fts records; degrees = graph_term_records / graph_person_records counts; support floor 5.
On this page: Order is “distinctive first” above the reviewed floor of 5 records, then by count.
SELECT t.slug FROM graph_term_records t JOIN graph_person_records p ON p.slug = t.slug WHERE t.term = :term AND p.person = :person ORDER BY t.slugPeople present at the same meetings
Rule: distinct (meeting, group_display) present pairs, grouped; see the builder Attendance is the index's capture: the College complete, staff rows sporadic — a person absent from a sitting's list may simply be unrecorded.
Stored weighting note (verbatim): tenure — served alongside, over which span; must not imply affinity discrimination. overlap coefficient: meetings / min(deg_a, deg_b); degrees = distinct meetings present.
SELECT DISTINCT a.meeting FROM attendance a JOIN attendance b ON b.meeting = a.meeting WHERE a.group_display = :person_a AND b.group_display = :person_b AND a.status = 'present' AND b.status = 'present' ORDER BY a.meetingHow these results are ranked
Distinctiveness (lift) compares how often a term and a name share records with the frequency expected from their separate record totals. It is not evidence of personal interest or influence.
| Country | Distinctiveness |
|---|---|
| Canada | 47.7× |
| United Kingdom | 15.0× |
| China | 14.8× |
| Ukraine | 14.5× |
| United States | 12.6× |
| Russia | 10.1× |
| India | 32.6× |
| Moldova | 34.7× |
| France | 10.1× |
| Germany | 11.5× |
| Hungary | 18.0× |
| Ireland | 11.2× |
| Italy | 10.8× |
| Japan | 21.8× |
| Spain | 13.3× |
| Tunisia | 52.5× |
| Australia | 31.5× |
| Brazil | 19.9× |
| Bulgaria | 9.3× |
| Egypt | 21.0× |
| Israel | 17.5× |
| Norway | 23.9× |
| Poland | 8.9× |
| Turkey | 7.6× |
| Afghanistan | 15.0× |
| Albania | 11.8× |
| Austria | 6.6× |
| Belarus | 16.6× |
| Belgium | 7.3× |
| Bosnia and Herzegovina | 12.1× |
| Croatia | 6.7× |
| Cyprus | 4.7× |
| Czech Republic | 7.8× |
| Denmark | 8.3× |
| Finland | 7.6× |
| Greece | 2.7× |
| Iran | 7.3× |
| Kosovo | 5.9× |
| Libya | 9.0× |
| Lithuania | 8.1× |
| Mexico | 19.3× |
| Montenegro | 11.8× |
| Morocco | 13.3× |
| North Macedonia | 9.8× |
| Pakistan | 21.0× |
| Portugal | 5.4× |
| Romania | 4.6× |
| Slovakia | 7.6× |
| Slovenia | 9.1× |
| South Africa | 23.6× |
| South Korea | 32.6× |
| Sweden | 7.3× |
People present at the same meetings: ranking and measures
Shared meetings divided by the smaller of the two people's totals of distinct meetings recorded present, not by years of service. This is the overlap coefficient, shown as a percentage.
| Person | Share of smaller attendance total |
|---|---|
| Ms JUHANSONE | 100% |
| Mr HEMMELGARN | 100% |
| Mr SCHINAS | 95% |
| Mr ŠEFČOVIČ | 94% |
| Mr BRETON | 94% |
| Mr HAHN | 92% |
| Ms JOUROVÁ | 92% |
| Ms FERREIRA | 91% |
| Mr GENTILONI | 90% |
| Ms ŠUICA | 90% |
| Ms von der LEYEN | 90% |
| Mr REYNDERS | 90% |
| Ms JOHANSSON | 90% |
| Ms DALLI | 89% |
| Mr WOJCIECHOWSKI | 88% |
| Ms VĂLEAN | 87% |
| Mr SCHMIT | 87% |
| Ms KYRIAKIDES | 87% |
| Mr DOMBROVSKIS | 86% |
| Ms VESTAGER | 86% |
| Mr LENARČIČ | 85% |
| Ms SIMSON | 85% |
| Mr SEIBERT | 83% |
| Ms PETKOVA | 83% |
| Mr SINKEVIČIUS | 79% |
| Ms URPILAINEN | 74% |
| Mr VÁRHELYI | 71% |
| Mr MAMER | 71% |
| Ms AHRENKILDE HANSEN | 71% |
| Mr TIMMERMANS | 67% |
| Ms McGUINNESS | 67% |
| Ms GABRIEL | 65% |
| Ms IVANOVA | 43% |
| Mr HOGAN | 20% |
| Mr HOEKSTRA | 19% |
| Mr AYET PUIGARNAU | 100% |
| Mr FLOSDORFF | 80% |
| Mr LEARDINI | 80% |
| Mr ROMERO REQUENA | 80% |
| Ms LENARČIČ | 100% |
| Ms RISO | 100% |
| Ms SPINANT | 80% |
| Ms VILA NUÑEZ | 100% |
| Ms ALLOUIS-LE LOSTEC | 100% |
| Ms GAUER | 100% |
| Ms HILI | 100% |
| Ms VÁRHELYI | 100% |
| Ms STANCIULESCU | 100% |
| Mr CALLEJA CRESPO | 100% |
| Mr GRITSCH | 100% |
| Mr JOOS | 100% |
| Mr NOCIAR | 100% |
| Mr TAQUET-GRAZIANI | 100% |
| Ms DEPREZ | 100% |
| Ms NIKOLAY | 100% |