Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers
Аутори
Anđelković, MiroslavTadić, Bosiljka
Mitrović Dankulov, Marija
Rajković, Milan
Melnik, Roderick
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Извор:
PLOS One, 2016, 11, 5Финансирање / пројекти:
- Напредне аналитичке, нумеричке и методе анализе примењене механике флуида и комплексних система (RS-MESTD-Basic Research (BR or ON)-174014)
- Моделирање и нумеричке симулације сложених вишечестичних система (RS-MESTD-Basic Research (BR or ON)-171017)
- Research Agency of the Republic of Slovenia [P1-0044], Natural Sciences and Engineering Research Council of Canada [213904]
Напомена:
- Supplementary material: Dataset https://vinar.vin.bg.ac.rs/handle/123456789/9420
- Supplementary material: Dataset https://vinar.vin.bg.ac.rs/handle/123456789/9421
Повезане информације:
- Повезани садржај
https://vinar.vin.bg.ac.rs/handle/123456789/9420 - Повезани садржај
https://vinar.vin.bg.ac.rs/handle/123456789/9421
DOI: 10.1371/journal.pone.0154655
ISSN: 1932-6203
PubMed: 27171149
WoS: 000376588600150
Scopus: 2-s2.0-84971237936
Колекције
Институција/група
VinčaTY - 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 . .