Ghent University Academic Bibliography |

Ghent University Academic Bibliography

Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01HT2C71M0RG4FQE02CF2FRDZ9> ?p ?o. }

Showing items 1 to 35 of 35 with 100 items per page.

01HT2C71M0RG4FQE02CF2FRDZ9 classification P1.
01HT2C71M0RG4FQE02CF2FRDZ9 date "2022".
01HT2C71M0RG4FQE02CF2FRDZ9 language "eng".
01HT2C71M0RG4FQE02CF2FRDZ9 type conference.
01HT2C71M0RG4FQE02CF2FRDZ9 hasPart 01HT2C8N3D5FFPSKX77ABF9RAH.pdf.
01HT2C71M0RG4FQE02CF2FRDZ9 subject "Social Sciences".
01HT2C71M0RG4FQE02CF2FRDZ9 doi "10.1007/978-3-030-93409-5_43".
01HT2C71M0RG4FQE02CF2FRDZ9 isbn "9783030934088".
01HT2C71M0RG4FQE02CF2FRDZ9 isbn "9783030934095".
01HT2C71M0RG4FQE02CF2FRDZ9 issn "1860-949X".
01HT2C71M0RG4FQE02CF2FRDZ9 issn "1860-9503".
01HT2C71M0RG4FQE02CF2FRDZ9 presentedAt urn:uuid:974cc91e-efff-4393-be5e-4b3e6ea7af22.
01HT2C71M0RG4FQE02CF2FRDZ9 volume "1072".
01HT2C71M0RG4FQE02CF2FRDZ9 abstract "Graphlets, being the fundamental building blocks, are essential for understanding and analysing complex networks. The original notion of graphlets, however, is unable to encode edge attributes in many types of networks, especially in egocentric social networks. In this paper, we introduce a framework to embed edge type information in graphlets and generate a Typed-Edge Graphlets Degree Vector (TyE-GDV). Through applying the proposed method to a case study of chronic pain patients, we find that not only a patient's social network structure could inform his/her perceived pain grade, but also particular types of social relationships, such as friends, colleagues and healthcare workers, are more important in understanding the effect of chronic pain. Further, we demonstrate that including TyE-GDV as additional features leads to significant improvement in a typical machine learning task.".
01HT2C71M0RG4FQE02CF2FRDZ9 author D9508BBC-0437-11E2-9C73-D1D710BDE39D.
01HT2C71M0RG4FQE02CF2FRDZ9 author F454117A-F0ED-11E1-A9DE-61C894A0A6B4.
01HT2C71M0RG4FQE02CF2FRDZ9 author F5CC48F6-F0ED-11E1-A9DE-61C894A0A6B4.
01HT2C71M0RG4FQE02CF2FRDZ9 author urn:uuid:1356eac5-f920-4e30-88b4-c979dea79a39.
01HT2C71M0RG4FQE02CF2FRDZ9 author urn:uuid:72a2f7d8-26a8-4f1c-b0f7-7d22402a0bba.
01HT2C71M0RG4FQE02CF2FRDZ9 author urn:uuid:7df8457c-1b49-4216-b342-a78eaa9242e9.
01HT2C71M0RG4FQE02CF2FRDZ9 dateCreated "2024-03-28T11:13:10Z".
01HT2C71M0RG4FQE02CF2FRDZ9 dateModified "2024-10-29T18:45:05Z".
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:29c309b1-3af3-4e94-9e1c-4aad6325bbde.
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:495c9761-0e2b-43b6-b61d-87fe620dfe8d.
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:5148428e-a9f9-4eba-a5d3-8ecfae371b2a.
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:5c20fd39-d395-4ca0-a8de-cfe578bf6e06.
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:8b2cf89f-bdb1-4a9c-b2a2-4b9d14ec4a23.
01HT2C71M0RG4FQE02CF2FRDZ9 editor urn:uuid:9e92e8bd-5ddc-43f0-a931-c5212c91d17f.
01HT2C71M0RG4FQE02CF2FRDZ9 name "Analysing ego-networks via typed-edge graphlets : a case study of chronic pain patients".
01HT2C71M0RG4FQE02CF2FRDZ9 pagination urn:uuid:63889999-4734-4a6b-89a6-86a50677965b.
01HT2C71M0RG4FQE02CF2FRDZ9 publisher urn:uuid:ffe5f660-1774-4b1f-969c-5a237d9b17b6.
01HT2C71M0RG4FQE02CF2FRDZ9 sameAs LU-01HT2C71M0RG4FQE02CF2FRDZ9.
01HT2C71M0RG4FQE02CF2FRDZ9 sourceOrganization urn:uuid:a195e828-61e5-4ce9-8354-02aac32c31d1.
01HT2C71M0RG4FQE02CF2FRDZ9 sourceOrganization urn:uuid:ce264399-232f-4925-82d8-b3d18a044bd5.
01HT2C71M0RG4FQE02CF2FRDZ9 type P1.