Mitrović Dankulov, Marija

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Authority KeyName Variants
orcid::0000-0002-8484-3501
  • Mitrović Dankulov, Marija (3)
Projects

Author's Bibliography

Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers

Anđelković, Miroslav; Tadić, Bosiljka; Mitrović Dankulov, Marija; Rajković, Milan; Melnik, Roderick

(2016)

TY  - JOUR
AU  - Anđelković, Miroslav
AU  - Tadić, Bosiljka
AU  - Mitrović Dankulov, Marija
AU  - Rajković, Milan
AU  - Melnik, Roderick
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1085
AB  - The communication processes of knowledge creation represent a particular class of human dynamics where the expertise of individuals plays a substantial role, thus offering a unique possibility to study the structure of knowledge networks from online data. Here, we use the empirical evidence from questions-and-answers in mathematics to analyse the emergence of the network of knowledge contents (or tags) as the individual experts use them in the process. After removing extra edges from the network-associated graph, we apply the methods of algebraic topology of graphs to examine the structure of higher-order combinatorial spaces in networks for four consecutive time intervals. We find that the ranking distributions of the suitably scaled topological dimensions of nodes fall into a unique curve for all time intervals and filtering levels, suggesting a robust architecture of knowledge networks. Moreover, these networks preserve the logical structure of knowledge within emergent communities of nodes, labeled according to a standard mathematical classification scheme. Further, we investigate the appearance of new contents over time and their innovative combinations, which expand the knowledge network. In each network, we identify an innovation channel as a subgraph of triangles and larger simplices to which new tags attach. Our results show that the increasing topological complexity of the innovation channels contributes to networks architecture over different time periods, and is consistent with temporal correlations of the occurrence of new tags. The methodology applies to a wide class of data with the suitable temporal resolution and clearly identified knowledge-content units.
T2  - PLOS One
T1  - Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers
VL  - 11
IS  - 5
DO  - 10.1371/journal.pone.0154655
ER  - 
@article{
author = "Anđelković, Miroslav and Tadić, Bosiljka and Mitrović Dankulov, Marija and Rajković, Milan and Melnik, Roderick",
year = "2016",
abstract = "The communication processes of knowledge creation represent a particular class of human dynamics where the expertise of individuals plays a substantial role, thus offering a unique possibility to study the structure of knowledge networks from online data. Here, we use the empirical evidence from questions-and-answers in mathematics to analyse the emergence of the network of knowledge contents (or tags) as the individual experts use them in the process. After removing extra edges from the network-associated graph, we apply the methods of algebraic topology of graphs to examine the structure of higher-order combinatorial spaces in networks for four consecutive time intervals. We find that the ranking distributions of the suitably scaled topological dimensions of nodes fall into a unique curve for all time intervals and filtering levels, suggesting a robust architecture of knowledge networks. Moreover, these networks preserve the logical structure of knowledge within emergent communities of nodes, labeled according to a standard mathematical classification scheme. Further, we investigate the appearance of new contents over time and their innovative combinations, which expand the knowledge network. In each network, we identify an innovation channel as a subgraph of triangles and larger simplices to which new tags attach. Our results show that the increasing topological complexity of the innovation channels contributes to networks architecture over different time periods, and is consistent with temporal correlations of the occurrence of new tags. The methodology applies to a wide class of data with the suitable temporal resolution and clearly identified knowledge-content units.",
journal = "PLOS One",
title = "Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers",
volume = "11",
number = "5",
doi = "10.1371/journal.pone.0154655"
}
Anđelković, M., Tadić, B., Mitrović Dankulov, M., Rajković, M.,& Melnik, R.. (2016). Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers. in PLOS One, 11(5).
https://doi.org/10.1371/journal.pone.0154655
Anđelković M, Tadić B, Mitrović Dankulov M, Rajković M, Melnik R. Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers. in PLOS One. 2016;11(5).
doi:10.1371/journal.pone.0154655 .
Anđelković, Miroslav, Tadić, Bosiljka, Mitrović Dankulov, Marija, Rajković, Milan, Melnik, Roderick, "Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers" in PLOS One, 11, no. 5 (2016),
https://doi.org/10.1371/journal.pone.0154655 . .
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Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed

Anđelković, Miroslav; Tadić, Bosiljka; Mitrović Dankulov, Marija; Rajković, Milan; Melnik, Roderick

(2016)

TY  - DATA
AU  - Anđelković, Miroslav
AU  - Tadić, Bosiljka
AU  - Mitrović Dankulov, Marija
AU  - Rajković, Milan
AU  - Melnik, Roderick
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9420
AB  - Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed.
T2  - PLOS One
T1  - Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed
DO  - 10.1371/journal.pone.0154655.t002
ER  - 
@misc{
author = "Anđelković, Miroslav and Tadić, Bosiljka and Mitrović Dankulov, Marija and Rajković, Milan and Melnik, Roderick",
year = "2016",
abstract = "Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed.",
journal = "PLOS One",
title = "Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed",
doi = "10.1371/journal.pone.0154655.t002"
}
Anđelković, M., Tadić, B., Mitrović Dankulov, M., Rajković, M.,& Melnik, R.. (2016). Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed. in PLOS One.
https://doi.org/10.1371/journal.pone.0154655.t002
Anđelković M, Tadić B, Mitrović Dankulov M, Rajković M, Melnik R. Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed. in PLOS One. 2016;.
doi:10.1371/journal.pone.0154655.t002 .
Anđelković, Miroslav, Tadić, Bosiljka, Mitrović Dankulov, Marija, Rajković, Milan, Melnik, Roderick, "Names of the first twenty tags ordered according to their topological dimension in the network of tags before filtering and after filtering at the indicated confidence level p has been performed" in PLOS One (2016),
https://doi.org/10.1371/journal.pone.0154655.t002 . .

The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1

Anđelković, Miroslav; Tadić, Bosiljka; Mitrović Dankulov, Marija; Rajković, Milan; Melnik, Roderick

(2016)

TY  - DATA
AU  - Anđelković, Miroslav
AU  - Tadić, Bosiljka
AU  - Mitrović Dankulov, Marija
AU  - Rajković, Milan
AU  - Melnik, Roderick
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9421
AB  - The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1
T2  - PLOS One
T1  - The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1
DO  - 10.1371/journal.pone.0154655.t001
ER  - 
@misc{
author = "Anđelković, Miroslav and Tadić, Bosiljka and Mitrović Dankulov, Marija and Rajković, Milan and Melnik, Roderick",
year = "2016",
abstract = "The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1",
journal = "PLOS One",
title = "The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1",
doi = "10.1371/journal.pone.0154655.t001"
}
Anđelković, M., Tadić, B., Mitrović Dankulov, M., Rajković, M.,& Melnik, R.. (2016). The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1. in PLOS One.
https://doi.org/10.1371/journal.pone.0154655.t001
Anđelković M, Tadić B, Mitrović Dankulov M, Rajković M, Melnik R. The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1. in PLOS One. 2016;.
doi:10.1371/journal.pone.0154655.t001 .
Anđelković, Miroslav, Tadić, Bosiljka, Mitrović Dankulov, Marija, Rajković, Milan, Melnik, Roderick, "The graph-level measures for tags networks for four consecutive periods, filtered at confidence p = 0.1" in PLOS One (2016),
https://doi.org/10.1371/journal.pone.0154655.t001 . .