Spreading of performance fluctuations on real-world project networks
Abstract Understanding the role of individual nodes is a key challenge in the study of spreading processes on networks. In this work we propose a novel metric, the reachability-heterogeneity (RH), to quantify the contribution of each node to the robustness of the network against a spreading process....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-03-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-021-00367-6 |
| _version_ | 1818415546658455552 |
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| author | Iacopo Pozzana Christos Ellinas Georgios Kalogridis Konstantinos Sakellariou |
| author_facet | Iacopo Pozzana Christos Ellinas Georgios Kalogridis Konstantinos Sakellariou |
| author_sort | Iacopo Pozzana |
| collection | DOAJ |
| description | Abstract Understanding the role of individual nodes is a key challenge in the study of spreading processes on networks. In this work we propose a novel metric, the reachability-heterogeneity (RH), to quantify the contribution of each node to the robustness of the network against a spreading process. We then introduce a dataset consisting of four large engineering projects described by their activity networks, including records of the performance of each activity, i.e., whether it was timely delivered or delayed; such data, describing the spreading of performance fluctuations across activities, can be used as a reliable ground truth for the study of spreading phenomena on networks. We test the validity of the RH metric on these project networks, and discover that nodes scoring low in RH tend to consistently perform better. We also compare RH and seven other node metrics, showing that the former is highly interdependent with activity performance. Given the context agnostic nature of RH, our results, based on real-world data, signify the role that network structure plays with respect to overall project performance. |
| first_indexed | 2024-12-14T11:36:43Z |
| format | Article |
| id | doaj.art-03d3d13fe0c24659bf7ade699ff207ef |
| institution | Directory Open Access Journal |
| issn | 2364-8228 |
| language | English |
| last_indexed | 2024-12-14T11:36:43Z |
| publishDate | 2021-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Network Science |
| spelling | doaj.art-03d3d13fe0c24659bf7ade699ff207ef2022-12-21T23:02:59ZengSpringerOpenApplied Network Science2364-82282021-03-016111510.1007/s41109-021-00367-6Spreading of performance fluctuations on real-world project networksIacopo Pozzana0Christos Ellinas1Georgios Kalogridis2Konstantinos Sakellariou3Nodes & Links LtdNodes & Links LtdNodes & Links LtdNodes & Links LtdAbstract Understanding the role of individual nodes is a key challenge in the study of spreading processes on networks. In this work we propose a novel metric, the reachability-heterogeneity (RH), to quantify the contribution of each node to the robustness of the network against a spreading process. We then introduce a dataset consisting of four large engineering projects described by their activity networks, including records of the performance of each activity, i.e., whether it was timely delivered or delayed; such data, describing the spreading of performance fluctuations across activities, can be used as a reliable ground truth for the study of spreading phenomena on networks. We test the validity of the RH metric on these project networks, and discover that nodes scoring low in RH tend to consistently perform better. We also compare RH and seven other node metrics, showing that the former is highly interdependent with activity performance. Given the context agnostic nature of RH, our results, based on real-world data, signify the role that network structure plays with respect to overall project performance.https://doi.org/10.1007/s41109-021-00367-6Spreading on networksProject managementNode vulnerabilityDelay spreadingProject performanceDynamical processes on networks |
| spellingShingle | Iacopo Pozzana Christos Ellinas Georgios Kalogridis Konstantinos Sakellariou Spreading of performance fluctuations on real-world project networks Applied Network Science Spreading on networks Project management Node vulnerability Delay spreading Project performance Dynamical processes on networks |
| title | Spreading of performance fluctuations on real-world project networks |
| title_full | Spreading of performance fluctuations on real-world project networks |
| title_fullStr | Spreading of performance fluctuations on real-world project networks |
| title_full_unstemmed | Spreading of performance fluctuations on real-world project networks |
| title_short | Spreading of performance fluctuations on real-world project networks |
| title_sort | spreading of performance fluctuations on real world project networks |
| topic | Spreading on networks Project management Node vulnerability Delay spreading Project performance Dynamical processes on networks |
| url | https://doi.org/10.1007/s41109-021-00367-6 |
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