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The Sci2 Tool's database functionality greatly improves the volume of data which can be loaded into and analyzed by the tool. Whereas most scientometric tools available as of March 2010 require powerful computing resources to perform large scale analyses each time a network needs to be extracted, the pre-loaded database runs network extraction algorithms quickly and allows the users to format their own custom queries. This functionality has some front-heavy memory requirements in order to initially load the data into the database, the upper limits of which can be seen in Tables 3.1 and 3.2.

Entries

Load

Merge
People

Merge
Journals

Match

Extract
Authors

Extract
Documents

Extract
Co-Authors

Extract
Document
Citation
(with outer)

Extract
Author
Citation

Extract
Document
Co-Citation

Extract
Document
Co-Citation
(core)

Author
Co-Citation

50

5

1

1

1

1

1

1

1

1

10

4

2

500

10

4

4

1

1

1

1

1

1

20

4

5

5000

100

48

180

3

1

1

3

18

2

3300

20

35

10000

210

120

480

5

2

1

10

30

7

 

60

100

20000

400

300

1200

15

5

1

22

70

20

 

164

250

Table 3.1: The number of seconds to perform each action on a dataset of the given size, on a computer with 12GB of memory

Entries

Load

Merge
People

Merge
Journals

Match

Extract
Authors

Extract
Documents

Extract
Co-Authors

Extract
Document
Citation
(with outer)

Extract
Author
Citation

Extract
Document
Co-Citation

Extract
Document
Co-Citation
(core)

Author
Co-Citation

50

50

55

9

4

3

1

1

1

1

1

40

13

500

500

420

52

13

3

1

1

1

2

1

75

13

5000

5000

3600

1080

480

25

1

1

12

90

2

 

180

Table 3.2: The number of seconds to perform each action on a dataset of the given size, on a computer with 1.2GB of memory

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