| LDR | | 01514nmm uu200397 4500 |
| 001 | | 000000333012 |
| 005 | | 20240805172024 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438018303 |
| 035 | |
▼a (MiAaPQ)AAI10793142 |
| 035 | |
▼a (MiAaPQ)purdue:22593 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Tan, Xi. |
| 245 | 10 |
▼a Bayesian Nonparametrics to Model Content, User, and Latent Structure in Hawkes Processes. |
| 260 | |
▼a [S.l.] :
▼b Purdue University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 119 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Jennifer Neville. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
| 520 | |
▼a Communication in social networks tends to exhibit complex dynamics both in terms of the users involved and the contents exchanged. For example, email exchanges or activities on social media may exhibit reinforcing dynamics, where earlier events |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a Purdue University.
▼b Computer Sciences. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997742
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |