1 electronic text (xi, 72 p.) : ill., digital file.
Note
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Contents
1. Information provenance in social media -- 1.1 Social media -- 1.2 Social media data -- 1.3 Information provenance -- 1.4 The information provenance problem -- 1.5 Challenges -- 1.6 In search of provenance data -- 1.6.1 Analyzing provenance attributes -- 1.6.2 Seeking provenance via network information -- 1.6.3 Searching for provenance data -- 1.7 Summary --
3. Provenance via network information -- 3.1 Information propagation models -- 3.1.1 Susceptible-infected (SI) model -- 3.1.2 Independent-cascade (IC) model -- 3.2 Seeking provenance of information -- 3.2.1 Directly seeking sources when all recipients are known -- 3.2.2 Finding provenance paths when a few recipients are known -- 3.3 Key issues in information provenance -- 3.4 Summary --
4. Provenance data -- 4.1 An iterative framework -- 4.2 Propagation history -- 4.2.1 Feature extraction -- 4.2.2 Ranking measures -- 4.2.3 Follower-ranking prediction methods -- 4.3 A case study of disinformation in Assam Exodus -- 4.4 Summary --
A. Notations -- B. Online provenance data tool -- Bibliography -- Authors' biography.
Note
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
ISBN
9781608457847 (electronic bk.)
9781608457830 (pbk.)
Standard #
10.2200/S00496ED1V01Y201304DMK007 doi
Click on the terms below to find similar items in the catalogue
Series
Synthesis lectures on data mining and knowledge discovery, # 7
1 electronic text (xi, 72 p.) : ill., digital file.
Note
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Contents
1. Information provenance in social media -- 1.1 Social media -- 1.2 Social media data -- 1.3 Information provenance -- 1.4 The information provenance problem -- 1.5 Challenges -- 1.6 In search of provenance data -- 1.6.1 Analyzing provenance attributes -- 1.6.2 Seeking provenance via network information -- 1.6.3 Searching for provenance data -- 1.7 Summary --
3. Provenance via network information -- 3.1 Information propagation models -- 3.1.1 Susceptible-infected (SI) model -- 3.1.2 Independent-cascade (IC) model -- 3.2 Seeking provenance of information -- 3.2.1 Directly seeking sources when all recipients are known -- 3.2.2 Finding provenance paths when a few recipients are known -- 3.3 Key issues in information provenance -- 3.4 Summary --
4. Provenance data -- 4.1 An iterative framework -- 4.2 Propagation history -- 4.2.1 Feature extraction -- 4.2.2 Ranking measures -- 4.2.3 Follower-ranking prediction methods -- 4.3 A case study of disinformation in Assam Exodus -- 4.4 Summary --
A. Notations -- B. Online provenance data tool -- Bibliography -- Authors' biography.
Note
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
ISBN
9781608457847 (electronic bk.)
9781608457830 (pbk.)
Standard #
10.2200/S00496ED1V01Y201304DMK007 doi
Series
Synthesis lectures on data mining and knowledge discovery, # 7
1 electronic text (xi, 72 p.) : ill., digital file.
Note
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Contents
1. Information provenance in social media -- 1.1 Social media -- 1.2 Social media data -- 1.3 Information provenance -- 1.4 The information provenance problem -- 1.5 Challenges -- 1.6 In search of provenance data -- 1.6.1 Analyzing provenance attributes -- 1.6.2 Seeking provenance via network information -- 1.6.3 Searching for provenance data -- 1.7 Summary --
3. Provenance via network information -- 3.1 Information propagation models -- 3.1.1 Susceptible-infected (SI) model -- 3.1.2 Independent-cascade (IC) model -- 3.2 Seeking provenance of information -- 3.2.1 Directly seeking sources when all recipients are known -- 3.2.2 Finding provenance paths when a few recipients are known -- 3.3 Key issues in information provenance -- 3.4 Summary --
4. Provenance data -- 4.1 An iterative framework -- 4.2 Propagation history -- 4.2.1 Feature extraction -- 4.2.2 Ranking measures -- 4.2.3 Follower-ranking prediction methods -- 4.3 A case study of disinformation in Assam Exodus -- 4.4 Summary --
A. Notations -- B. Online provenance data tool -- Bibliography -- Authors' biography.
Note
Abstract freely available; full-text restricted to subscribers or individual document purchasers.