Assessing the diffusion of nanotechnology in Turkey: A social network analysis approach   Hamid Darvish Lecturer Cankaya U...
Out Line   <ul><li>Introdcution  </li></ul><ul><li>Research  q uestions  </li></ul><ul><li>Data and  m ethods </li></ul><u...
What is  nanotechnology <ul><li>Mehta stated (2002) that nanoscience is about creation and manipulation of information and...
Why nanotechnology   <ul><li>European Union Scientific Framework (EUSF) has invested tremendously in nanotechnology since ...
Nanotechnology continues   <ul><li>United Nations  defined nanotechnology  as one of the important  recent breakthroughs i...
Knowledge( nanotechnology) diffusion   <ul><li>Rogers (2003) pioneered and studied innovation diffusion in several fields....
Why social network analysis <ul><li>De Solla Price (1965) argued in his paper published in  Science  magazine that pattern...
Social network analysis continues <ul><li>Betweenness centrality  </li></ul><ul><li>Burt (2004) coined the term “structura...
Research questions <ul><li>W ho is the productive author in each social structure network?  </li></ul><ul><li>T o what ext...
Data and methods <ul><li>Retrieved 167 and 230 bibliographic data for Hacettepe and Bilkent Universities during  2000-2010...
Results and discussion Figure 1.  Network of co-authorship  in Bilkent University including its subject  categories
Data and discussion continues Figure 2. Network of co-authorship  in Hacettepe University including its subject  categorie...
Data and discussion continues Figure 3. Network of co-word frequency in Bilkent University
Data and discussion continues Figure 4. Network of co-word frequency in Hacettepe University
Conclusion <ul><li>Mapped the structural and temporal evolution </li></ul><ul><li>I dentified the productive authors   </l...
Future works <ul><li>Include all universities in Turkey </li></ul><ul><li>Compare the results from my research with result...
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Assessing the diffusion of nanotechnology in turkey

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Assessing the diffusion of nanotechnology in turkey

  1. 1. Assessing the diffusion of nanotechnology in Turkey: A social network analysis approach Hamid Darvish Lecturer Cankaya University PhD Candidate. Hacettepe University Department of Infortmat i on Management Ankara, Turkey
  2. 2. Out Line <ul><li>Introdcution </li></ul><ul><li>Research q uestions </li></ul><ul><li>Data and m ethods </li></ul><ul><li>Finding and d iscussion </li></ul><ul><li>Conclusion </li></ul>
  3. 3. What is nanotechnology <ul><li>Mehta stated (2002) that nanoscience is about creation and manipulation of information and nanotechnology is an application which is based on nanoscience principles. </li></ul><ul><li>The term “nano” refers to particles as small as molecules in a size of 10 -9 of a meter. </li></ul>
  4. 4. Why nanotechnology <ul><li>European Union Scientific Framework (EUSF) has invested tremendously in nanotechnology since 2000 </li></ul><ul><li>The Turkish government also has adopted a new approach by becoming part of the EUSF and has invested heavily in research and development. </li></ul><ul><li>Turkey included nanotechnology in its national 2023 Technology Foresight Program ( Saritaş et al., 2007). </li></ul>
  5. 5. Nanotechnology continues <ul><li>United Nations defined nanotechnology as one of the important recent breakthroughs in science </li></ul><ul><li>Positive impact on developed and poor countries </li></ul><ul><ul><li>For example </li></ul></ul><ul><ul><ul><li>Water purification in poor countries </li></ul></ul></ul><ul><ul><ul><li>Develop better computer devices </li></ul></ul></ul>
  6. 6. Knowledge( nanotechnology) diffusion <ul><li>Rogers (2003) pioneered and studied innovation diffusion in several fields. He defines the diffusion of an innovation as &quot;the process by which an innovation is communicated through certain channels over time among the members of a social system.“ </li></ul><ul><li>Invisible colleges (Co-authorship) </li></ul><ul><li>Bilkent and Hacettepe Universities </li></ul>
  7. 7. Why social network analysis <ul><li>De Solla Price (1965) argued in his paper published in Science magazine that patterns of bibliometric data in scientific communication indicate the scientific development in different research domains. </li></ul><ul><li>Citation analysis alone does not suffice to explain the structure of the network of collaboration among scientists. </li></ul>
  8. 8. Social network analysis continues <ul><li>Betweenness centrality </li></ul><ul><li>Burt (2004) coined the term “structural hole” </li></ul><ul><li>Chen et al. (2009) stated that scientific discovery comes with a group of specialist, who attend, read and cite same body of literature and attends same conference </li></ul><ul><li>Co-word analysis ( Callon et al. , 1983) </li></ul><ul><li>Collaboration (Moody 2004) </li></ul>
  9. 9. Research questions <ul><li>W ho is the productive author in each social structure network? </li></ul><ul><li>T o what extend do scientists in each network structure co-operate in scientific activities? </li></ul><ul><li>W hat are the research topics studied in each network structure? </li></ul>
  10. 10. Data and methods <ul><li>Retrieved 167 and 230 bibliographic data for Hacettepe and Bilkent Universities during 2000-2010. </li></ul><ul><li>Ucinet ( Borgatti, Everett, & Freeman, 2002) is used to calculate the statistical data: betweenness, degree centrality. </li></ul><ul><li>CiteSpace, developed by Dr. Chen is used to map the development of co-authorship of scientists. </li></ul>
  11. 11. Results and discussion Figure 1. Network of co-authorship in Bilkent University including its subject categories
  12. 12. Data and discussion continues Figure 2. Network of co-authorship in Hacettepe University including its subject categories
  13. 13. Data and discussion continues Figure 3. Network of co-word frequency in Bilkent University
  14. 14. Data and discussion continues Figure 4. Network of co-word frequency in Hacettepe University
  15. 15. Conclusion <ul><li>Mapped the structural and temporal evolution </li></ul><ul><li>I dentified the productive authors </li></ul><ul><li>N odes having higher betweenness centrality boost the diffusion process </li></ul><ul><li>Co-word frequency analysis </li></ul><ul><li>No shared researched activities between two university </li></ul>
  16. 16. Future works <ul><li>Include all universities in Turkey </li></ul><ul><li>Compare the results from my research with results from WoS analysis tools </li></ul>

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