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ІПРІ

ІПРІ. National academy of sciences Institute for information recording. The method of scientists ranking using scientific databases Метод ранжування науковців на основі наукометричних баз даних Balagura Iryna Lande Dmytro Garmash Tetyana. 2017. The purpose.

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ІПРІ

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  1. ІПРІ National academy of sciences Institute for information recording The method of scientists ranking using scientific databasesМетодранжуваннянауковців на основінаукометричних баз данихBalaguraIrynaLandeDmytroGarmashTetyana 2017

  2. The purpose The research deals with the improving of the scientists ranking method using scientific databases for taking into account both of citation and scientific collaboration. Мета роботи - вдосконалення методу ранжування науковців на основі публікаційної активності у наукометричних базах даних для врахування цитованості та особливості наукової співпраці. 2

  3. Co-author networks 3

  4. Centrality measures • Degree centrality counts the number of links held by each node. • Betweenness centrality measures the number of times a node lies on the shortest path between other nodes. • Closeness centrality measure scores each node based on their ‘closeness’ to all other nodes within the network. 4

  5. Weighted degree centrality If edges I and j are connected, otherwise the value represents the weight of the tie. is a positive tuning parameter that can set according to the research setting and data. 5

  6. The improved centrality index Proposed method allows estimating of “weight” coefficient of authors with equal co-author ties. the amount of ties and their weights that is normalized by the total number of weights and connections in the network It’s close to 1 in the case of a arising variation of the weight of the edge j from the average weight for the node i ; it’s close to 0 if weights are equil. 6

  7. Aggregated indexes Takes into account the number of publications, and their impact on the scientific community, expressed through the number of citations of the publication. Combines the communicability and productivity of the scientists. It reduces the weight of authors with uneven ties of co-authorship. H-Іndex SC(The improved centrality index ) Enables the authors which connect scientific teams and take into account weights in networks.

  8. Aggragated index with Borda count method Weights of indexes

  9. Data filtering 9

  10. Common ranking forcentrality measures and citations 10

  11. ІПРІ Thank you

  12. Scientific teams

  13. Centrality measures 15 .

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