Community detection and mining in social media:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[San Rafael, CA]
Morgan & Claypool
2010
|
| Schriftenreihe: | Synthesis lectures on data mining and knowledge discovery
3 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references (p. 105-115) and index |
| Beschreibung: | XI, 123 S. ill. 24 cm |
| ISBN: | 1608453545 9781608453542 |
Internformat
MARC
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| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 490 | 1 | |a Synthesis lectures on data mining and knowledge discovery |v 3 | |
| 500 | |a Includes bibliographical references (p. 105-115) and index | ||
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| 650 | 4 | |a Social media | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-025220363 | ||
Datensatz im Suchindex
| _version_ | 1804149411557670913 |
|---|---|
| adam_text | Contents
Acknowledgments
.......................................................xiii
Social Media and Social Computing
.........................................1
1.1
Social Media
........................................................... 1
1.2
Concepts and Definitions
................................................3
1.2.1
Networks and Representations
..................................... 3
1.2.2
Properties of Large-Scale Networks
.................................5
1.3
Challenges
............................................................. 6
1.4
Social Computing Tasks
................................................. 7
1.4.1
Network Modeling
............................................... 7
1.4.2
Centrality Analysis and Influence Modeling
.......................... 8
1.4.3
Community Detection
............................................ 8
1.4.4
Classification and Recommendation
................................10
1.4.5
Privacy, Spam and Security
........................................10
1.5
Summary
.............................................................11
Nodes, Ties, and Influence
............................................... 13
2.1
Importance of Nodes
...................................................13
2.2
Strengths ofTies
......................................................18
2.2.1
Learning from Network Topology
.................................18
2.2.2
Learning from User Attributes and Interactions
......................20
2.2.3
Learning from Sequence of User Activities
..........................21
2.3
Influence Modeling
....................................................21
2.3.1
Linear Threshold Model (LTM)
...................................22
2.3.2
Independent Cascade Model (ICM)
...............................23
2.3.3
Influence Maximization
..........................................24
2.3.4
Distinguishing Influence and Correlation
...........................26
Community Detection and Evaluation
.....................................31
3.1
Node-Centric Community Detection
.....................................31
3.1.1
Complete Mutuality
.............................................31
3.1.2
Reachability
....................................................33
3.2
Group-Centric Community Detection
....................................34
3.3
Network-Centric Community Detection
..................................35
3.3.1
Vertex Similarity
................................................35
3.3.2
Latent Space Models
.............................................37
3.3.3
Block Model Approximation
......................................39
3.3.4
Spectral Clustering
..............................................41
3.3.5
Modularity Maximization
........................................43
3.3.6
A UnifiedProcess
...............................................45
3.4
Hierarchy-Centric Community Detection
.................................46
3.4.1
Divisive Hierarchical Clustering
...................................46
3.4.2
Agglomerative Hierarchical Clustering
.............................48
3.5
Community Evaluation
.................................................49
4
Communities in Heterogeneous Networks
.................................55
4.1
Heterogeneous Networks
...............................................55
4.2
Multi-Dimensional Networks
...........................................57
4.2.1
Network Integration
.............................................58
4.2.2
Utility Integration
...............................................60
4.2.3
Feature Integration
..............................................62
4.2.4
Partition Integration
.............................................65
4.3
Multi-Mode Networks
.................................................68
4.3.1
Co-Clustering on Two-Mode Networks
............................68
4.3.2
Generalization to Multi-Mode Networks
...........................71
5
Social Media Mining
....................................................75
5.1
Evolution Patterns in Social Media
.......................................75
5.1.1
A Naive Approach to Studying Community Evolution
................76
5.1.2
Community Evolution in Smoothly Evolving Networks
...............
^
5.1.3
Segment-based Clustering with Evolving Networks
..................82
5.2
Classification with Network Data
........................................84
5.2.1
Collective Classification
..........................................85
5.2.2
Community-based Learning
......................................87
5.2.3
Summary
.......................................................92
Д
Data Collection
.........................................................93
Xl
В
Computing Betweenness.................................................97
С
¿-Means Clustering
....................................................101
Bibliography
........................................................... 105
Authors Biographies
...................................................117
Index
................................................................. 119
|
| any_adam_object | 1 |
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| author_role | aut aut |
| author_sort | Tang, Lei |
| author_variant | l t lt h l hl |
| building | Verbundindex |
| bvnumber | BV040366650 |
| classification_rvk | ST 530 |
| ctrlnum | (OCoLC)732140317 (DE-599)BVBBV040366650 |
| discipline | Informatik |
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| id | DE-604.BV040366650 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:22:36Z |
| institution | BVB |
| isbn | 1608453545 9781608453542 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025220363 |
| oclc_num | 732140317 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-739 |
| owner_facet | DE-355 DE-BY-UBR DE-739 |
| physical | XI, 123 S. ill. 24 cm |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Morgan & Claypool |
| record_format | marc |
| series | Synthesis lectures on data mining and knowledge discovery |
| series2 | Synthesis lectures on data mining and knowledge discovery |
| spelling | Tang, Lei Verfasser (DE-588)13358593X aut Community detection and mining in social media Lei Tang ; Huan Liu [San Rafael, CA] Morgan & Claypool 2010 XI, 123 S. ill. 24 cm txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on data mining and knowledge discovery 3 Includes bibliographical references (p. 105-115) and index Data mining Social media Data Mining (DE-588)4428654-5 gnd rswk-swf Soziale Software (DE-588)7550143-0 gnd rswk-swf Identifikation (DE-588)4072712-9 gnd rswk-swf Gemeinschaft (DE-588)4020015-2 gnd rswk-swf Soziale Software (DE-588)7550143-0 s Data Mining (DE-588)4428654-5 s Gemeinschaft (DE-588)4020015-2 s Identifikation (DE-588)4072712-9 s b DE-604 Liu, Huan 1958- Verfasser (DE-588)138749736 aut Erscheint auch als Online-Ausgabe 978-1-60845-355-9 Synthesis lectures on data mining and knowledge discovery 3 (DE-604)BV035791445 3 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025220363&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tang, Lei Liu, Huan 1958- Community detection and mining in social media Synthesis lectures on data mining and knowledge discovery Data mining Social media Data Mining (DE-588)4428654-5 gnd Soziale Software (DE-588)7550143-0 gnd Identifikation (DE-588)4072712-9 gnd Gemeinschaft (DE-588)4020015-2 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)7550143-0 (DE-588)4072712-9 (DE-588)4020015-2 |
| title | Community detection and mining in social media |
| title_auth | Community detection and mining in social media |
| title_exact_search | Community detection and mining in social media |
| title_full | Community detection and mining in social media Lei Tang ; Huan Liu |
| title_fullStr | Community detection and mining in social media Lei Tang ; Huan Liu |
| title_full_unstemmed | Community detection and mining in social media Lei Tang ; Huan Liu |
| title_short | Community detection and mining in social media |
| title_sort | community detection and mining in social media |
| topic | Data mining Social media Data Mining (DE-588)4428654-5 gnd Soziale Software (DE-588)7550143-0 gnd Identifikation (DE-588)4072712-9 gnd Gemeinschaft (DE-588)4020015-2 gnd |
| topic_facet | Data mining Social media Data Mining Soziale Software Identifikation Gemeinschaft |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025220363&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035791445 |
| work_keys_str_mv | AT tanglei communitydetectionandmininginsocialmedia AT liuhuan communitydetectionandmininginsocialmedia |