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Business Process Management: Terms, Trends and Models
2018
Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems
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In order to do so, the proposed methodology is quantitative, bibliometric and longitudinal, and uses the Semantic Network Analyses as a way to explore a large set of scientific documents. ...
Analysis of the BPM dimensions is innovatively achieved from the standpoint of semantic networks. ...
ACKNOWLEDGMENT We would like to thank the Federal University of Mato Grosso (UFMT), Mato Grosso State Audit Court (TCE-MT) and Uniselva Foundation for all the support to develop and publish this research ...
doi:10.15439/2018f334
dblp:conf/fedcsis/MacielNSRZB18
fatcat:z23ilap4rffgxjyddylan2gf3q
Identifying trends and flows in communication and information processing by means of keyword network analysis
2017
Proceedings of the 3rd International Conference on Communication and Information Processing - ICCIP '17
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of Science and studied the articles' thematic interconnections and their dynamics. ...
The keyword network was found to be clustered around the themes cloud, data, mobile, security, semantic and social. ...
Network analysis centrality measures have been found efficient in identifying key leading themes in operations management research [3] . ...
doi:10.1145/3162957.3162990
dblp:conf/iccip/DotsikaW17
fatcat:oz22zfjiy5epnmvhaody7dvgri
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
[article]
2019
arXiv
pre-print
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2020 accepted arXiv:1906.06843v2 fatcat:iilyibblj5hdte3afb7ogt2c7e
We use SemNet to predict future trends in research and to inspire new, personalized and surprising seeds of ideas in science. ...
We train a deep neural network using states of SemNet of the past, to predict future developments in quantum physics research, and confirm high quality predictions using historic data. ...
DISCUSSION We show how to create a semantic network in the field of quantum physics, demonstrate its useage to predict future trends in the field and how it can be used to suggest pairs of concepts, which ...
arXiv:1906.06843v1
fatcat:vxbripneobf73lu4rhl22jjrne
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
[article]
2022
arXiv
pre-print
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We develop a new graph-based benchmark based on real-world data -- the Science4Cast benchmark, which aims to predict the future state of an evolving semantic network of AI. ...
For that, we use more than 100,000 research papers and build up a knowledge network with more than 64,000 concept nodes. ...
Predictions of scientific success -The prediction of a new link between nodes in the semantic network means that we predict which concepts scientists will study for the first time in the future. ...
arXiv:2210.00881v1
fatcat:lbcum4dj6ventctwejulv26cra
Mapping and predicting research trends in international journal publications using graph and topic modeling
2023
Indonesian Journal of Electrical Engineering and Computer Science
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A combination of several techniques and methods is used, such as text mining, topic modeling, cosine similarity, network analysis, graph theory, and seasonal autoregressive integrated moving average (SARIMA ...
Topic and words-based document content analysis alternative to science mapping and trend prediction based on bibliographic analysis. ...
ACKNOWLEDGEMENTS Authors thanks to Scholarship PasTi, a sponsor for master education in the Postgraduate Program of IPB University. Prof. Ir. ...
doi:10.11591/ijeecs.v30.i2.pp1201-1213
fatcat:xtzysgle75eshlrghbtoc3bprm
Method to Predict Bursty Hot Events On Twitter based on User Relationship Network
2020
IEEE Access
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INDEX TERMS Hot event prediction, suspected bursty hot events, semantic similarity, user relationship network. VOLUME 8, 2020 This work is licensed under a Creative Commons Attribution 4.0 License. ...
Then, a user relationship network is constructed based on the information of the registered users on Twitter. ...
PROPAGATION PATH PREDICTION The user information network constructed in the preceding section is used to predict the path and trend of suspected hot spots in Twitter. ...
doi:10.1109/access.2020.2977424
fatcat:7bgy6acvozcfzplso3nzhtmjy4
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery Prediction
[article]
2019
arXiv
pre-print
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of a scientific domain by examining the relationships between knowledge entities. ...
Using data from two multidisciplinary research domains other than the medical domain, capitalizing on bibliometrics, the dynamicity of temporal KCNs, and a Long Short Term Memory recurrent neural network ...
A knowledge graph (network) is a specific kind of knowledge representation technique that uses a semantic network structure where nodes are keywords and links represent their causal relationships [3] ...
arXiv:1907.09395v2
fatcat:klqxoao7gvf2jgodph5cebpkbi
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
[article]
2021
arXiv
pre-print
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To explore the answer, we give a thorough review of data representations in CSS for both text and network. ...
Computational Social Science (CSS), aiming at utilizing computational methods to address social science problems, is a recent emerging and fast-developing field. ...
Besides, closeness centrality of a node measures the average length of the shortest path between the node and all other nodes in the network. ...
arXiv:2106.14198v1
fatcat:dvy5awnfuvbnnkzusjl5wbhfki
Exploring and Visualizing Research Progress and Emerging Trends of Event Prediction: A Survey
2023
Applied Sciences
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the central nodes and the nodes with strong citation bursts. ...
Over the last decade, event prediction has drawn attention from both academic and industry communities, resulting in a substantial volume of scientific papers published in a wide range of journals by scholars ...
Centrality measures the importance of a node within a network in terms of its connections, interactions, and influence on other nodes. ...
doi:10.3390/app132413346
fatcat:bdr2t53osffv5dfhd3xdr5f35q
Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India
2012
International Journal of Computer Applications
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In order to understand flow of information and interpret collaboration, co-authorship can be used as a measure to study intra and inter organization collaborations. ...
We construct and visualize scientific co-authorship social network graphs of these institutions. ...
The extracted academic network may also be used for trend detection/prediction. ...
doi:10.5120/8257-1790
fatcat:5txlc3rqjfhcdaxo3qdmkpgbuu
Impact of Field of Study Trend on Scientific Articles
2020
IEEE Access
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This study may be useful for analysis of scientific data in other fields and also useful for the trend based citation count prediction of scientific articles. ...
Next, the trend of each FoS can be determined using graph centrality measures. ...
doi:10.1109/access.2020.3007558
fatcat:h6jnrvehovafnho5uoz3umd7ky
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
[article]
2024
arXiv
pre-print
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2023 pre-print arXiv:2312.09744v1 fatcat:cvascs3dnbbsbhvznijtuuecou
In this paper, we propose a numerical reasoning method for material KGs (NR-KG), which constructs a cross-modal KG using semantic nodes and numerical proxy nodes. ...
It captures both types of information by projecting KG into a canonical KG and utilizes a graph neural network to predict material properties. ...
Finally, we use an MLP network as a property decoder to predict the target attribute values v t based on the proxy node features. ...
arXiv:2312.09744v2
fatcat:tcj3el7hnvfgfoyhhdz5w5vnmi
Social Network Analysis (SNA) to Analyse Bollywood Movies
2016
Reason-A Technical Journal
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The results obtained from the analysis are encouraging for predicting future trends of the different stake holders of Bollywood movies. ...
The service provided by social network allows people to use and engage with the Internet and with each other. Assessment of these interactions allows critical analysis of trends or opinion. ...
[8] proposes the effectiveness of social network analysis and sentiment analysis in predicting trends. ...
doi:10.21843/reas/2015/55-64/108337
fatcat:5mq3n32ryzf45k2qnjy5m2eqz4
Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
2019
Complexity
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Drawing on the literature in cognitive network science, with a focus on semantic and lexical networks, we argue three key points. ...
Network science provides a set of quantitative methods to investigate complex systems, including human cognition. ...
Siew is supported by the Overseas Postdoctoral Fellowship from the National University of Singapore. ...
doi:10.1155/2019/2108423
fatcat:pyg3aw4rwvbiblg46wahqgf5m4
Exploring Natural Language Processing in Construction and Integration with Building Information Modeling: A Scientometric Analysis
2021
Buildings
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Science mapping is used to analyze 254 bibliographic records from Scopus Database analyzing the structure and dynamics of the domain by drawing a picture of the body of knowledge. ...
The European Union (EU) aims to increase the efficiency and productivity of the construction industry. ...
Centrality Node Measurement The centrality of a node, which corresponds to a keyword, represents the importance of the topic in the research domain analyzed. ...
doi:10.3390/buildings11120583
fatcat:zcjcsyuu5vccjpd54bomvgg46y
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