Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, group...
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| Vydané v: | International journal of information technology and web engineering Ročník 17; číslo 1; s. 1 - 14 |
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| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Hershey
IGI Global
01.01.2022
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| ISSN: | 1554-1045, 1554-1053 |
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| Abstract | Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego – alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the “gap” between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information. |
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| AbstractList | Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego – alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the “gap” between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information. |
| Audience | Academic |
| Author | Balasubramaniam, Kishore Poongodi M Tamil Selvi P Jayapandian N Vidhya S Ramya K Tunze, Godwin Brown Hamdi, Mounir |
| AuthorAffiliation | PKR Arts College for Women, India PA College of Engineering and Technology, India Division of Informational and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar Christ University, India Michael Job College of Arts and Science for Women, India Dr. Mahalingam College of Engineering and Technology, India Mbeya University of Science and Technology, Tanzania Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar |
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| Cites_doi | 10.1016/j.icte.2022.02.004 10.1109/ACCESS.2019.2960367 10.3390/electronics11030495 10.1155/2022/4688327 10.1007/s00530-022-00902-0 10.3390/app12031317 10.1007/978-981-16-3412-3 10.3389/fonc.2022.834028 10.3390/s21237793 10.1145/3421508 10.1109/GCWkshps52748.2021.9715537 10.1007/s11227-021-03765-w 10.22452/mjcs.sp2022no1.10 10.3390/math10030343 10.1007/s00779-021-01541-4 10.1109/ACCESS.2021.3094400 10.1109/ACCESS.2019.2945682 10.1155/2021/2730246 10.1016/j.compeleceng.2022.108205 10.3389/fpubh.2022.834032 10.1007/s13198-021-01130-x 10.1049/cmu2.12251 10.1016/j.ipm.2021.102708 10.1109/ICCWorkshops50388.2021.9473709 10.1109/SocialCom-PASSAT.2012.41 10.1109/INFOCOMWKSHPS50562.2020.9162859 |
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| Title | Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network |
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