Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Emerging research challenges and opp...
~
Agarwal, Nitin.
Linked to FindBook
Google Book
Amazon
博客來
Emerging research challenges and opportunities in computational social network analysis and mining
Record Type:
Electronic resources : Monograph/item
Title/Author:
Emerging research challenges and opportunities in computational social network analysis and mining/ edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir.
other author:
Agarwal, Nitin.
Published:
Cham :Springer International Publishing : : 2019.,
Description:
x, 278 p. :ill., digital ;24 cm.
[NT 15003449]:
Chapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions.
Contained By:
Springer eBooks
Subject:
Telecommunication systems. -
Online resource:
https://doi.org/10.1007/978-3-319-94105-9
ISBN:
9783319941059
Emerging research challenges and opportunities in computational social network analysis and mining
Emerging research challenges and opportunities in computational social network analysis and mining
[electronic resource] /edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir. - Cham :Springer International Publishing :2019. - x, 278 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..
Chapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions.
The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.
ISBN: 9783319941059
Standard No.: 10.1007/978-3-319-94105-9doiSubjects--Topical Terms:
567565
Telecommunication systems.
LC Class. No.: HM741 / .E447 2019
Dewey Class. No.: 302.3
Emerging research challenges and opportunities in computational social network analysis and mining
LDR
:03223nmm a2200337 a 4500
001
2177386
003
DE-He213
005
20190524145425.0
006
m d
007
cr nn 008maaau
008
191122s2019 gw s 0 eng d
020
$a
9783319941059
$q
(electronic bk.)
020
$a
9783319941042
$q
(paper)
024
7
$a
10.1007/978-3-319-94105-9
$2
doi
035
$a
978-3-319-94105-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HM741
$b
.E447 2019
072
7
$a
J
$2
bicssc
072
7
$a
SOC000000
$2
bisacsh
072
7
$a
UXJ
$2
thema
082
0 4
$a
302.3
$2
23
090
$a
HM741
$b
.E53 2019
245
0 0
$a
Emerging research challenges and opportunities in computational social network analysis and mining
$h
[electronic resource] /
$c
edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
x, 278 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in social networks,
$x
2190-5428
505
0
$a
Chapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions.
520
$a
The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.
650
0
$a
Telecommunication systems.
$3
567565
650
1 4
$a
Computational Social Sciences.
$3
3220598
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
898250
650
2 4
$a
Data-driven Science, Modeling and Theory Building.
$3
2210495
650
2 4
$a
Computer Appl. in Social and Behavioral Sciences.
$3
892702
650
0
$a
Social networks.
$3
556983
650
0
$a
Information technology.
$3
532993
700
1
$a
Agarwal, Nitin.
$3
2059244
700
1
$a
Dokoohaki, Nima.
$3
3380391
700
1
$a
Tokdemir, Serpil.
$3
3380392
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in social networks.
$3
2058983
856
4 0
$u
https://doi.org/10.1007/978-3-319-94105-9
950
$a
Social Sciences (Springer-41176)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9367252
電子資源
11.線上閱覽_V
電子書
EB HM741 .E447 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login