Mining Lurkers in Online Social Networks
Andrea Tagarelli, Roberto Interdonato
Informasi Umum
Kode
21.21.1433
Klasifikasi
005.7 - Data in Computer Systems
Jenis
Buku - Elektronik (E-Book)
Subjek
Application Software
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 3
Tel-U Purwokerto : Rak 2
Dilihat
36 kali
Informasi Lainnya
Abstraksi
This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs.
All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it takes on a silent role. Silent users are also referred to as lurkers, since they gain benefit from others' information without significantly giving back to the community. Nevertheless, lurkers acquire knowledge from the OSN, therefore a major goal is to encourage them to more actively participate
Lurking behavior analysis has been long studied in social science and human-computer interaction fields, but it has also matured over the last few years in social network analysis and mining.
Koleksi & Sirkulasi
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Pengarang
| Nama | Andrea Tagarelli, Roberto Interdonato |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer |
| Kota | New York |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
