| 000 | 03861nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-00229-9 | ||
| 003 | DE-He213 | ||
| 005 | 20210201191310.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 181109s2018 gw | s |||| 0|eng d | ||
| 020 |
_a9783030002299 _9978-3-030-00229-9 |
||
| 050 | 4 | _aQA75.5-76.95 | |
| 072 | 7 |
_aUT _2bicssc |
|
| 072 | 7 |
_aCOM069000 _2bisacsh |
|
| 072 | 7 |
_aUT _2thema |
|
| 082 | 0 | 4 |
_a005.7 _223 |
| 100 | 1 |
_aTagarelli, Andrea. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aMining Lurkers in Online Social Networks _h[electronic resource] : _bPrinciples, Models, and Computational Methods / _cby Andrea Tagarelli, Roberto Interdonato. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aVI, 93 p. 10 illus., 9 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
| 500 | _aAcceso multiusuario | ||
| 520 | _aThis 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. While the main target audience corresponds to computer, network, and web data scientists, this brief might also help increase the visibility of the topic by bridging different closely related research fields. Practitioners, researchers and students interested in social networks, web search, data mining, computational social science and human-computer interaction will also find this brief useful research material . . | ||
| 541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
||
| 650 | 0 | _aComputers. | |
| 650 | 0 | _aApplication software. | |
| 650 | 0 | _aComputer communication systems. | |
| 650 | 1 | 4 |
_aInformation Systems and Communication Service. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18008 |
| 650 | 2 | 4 |
_aComputer Appl. in Social and Behavioral Sciences. _0https://scigraph.springernature.com/ontologies/product-market-codes/I23028 |
| 650 | 2 | 4 |
_aComputer Communication Networks. _0https://scigraph.springernature.com/ontologies/product-market-codes/I13022 |
| 700 | 1 |
_aInterdonato, Roberto. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030002282 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030002305 |
| 830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
| 856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-00229-9 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cLIBRO_ELEC | ||
| 999 |
_c241856 _d241855 |
||