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ORCIDEncyclopedia of Social Network Analysis and Mining 2014
- Reda Alhajj, Jon G. Rokne:
Encyclopedia of Social Network Analysis and Mining. Springer 2014, ISBN 978-1-4614-6169-2
A
- Accessibility. 1
- Accuracy. 1
- Cindy Hui, William A. Wallace, Malik Magdon-Ismail, Mark K. Goldberg:
Actionable Information in Social Networks, Diffusion of. 1-9 - Activity Modelling. 9
- Alberto Caimo, Nial Friel:
Actor-Based Models for Longitudinal Networks. 9-18 - Actor-Network Theory. 18
- Actor-Oriented Modelling. 18
- Actors, Nodes. 18
- Addition and Subtraction of Matrices. 18
- Adult Entertainment Industry. 18
- Adversarial Knowledge. 18
- Advisory Systems. 19
- Agent-Based Models. 19
- Agent, User, Peer. 19
- Aggregation Strategies. 19
- Algebraic Path Problem. 19
- Algorithm Evaluation. 19
- Alliances. 19
- Almost Network Data. 19
- AI Planning. 19
- Analysis. 19
- Lisa Kaati:
Analysis and Mining of Tags, (Micro)Blogs, and Virtual Communities. 19-25 - Andres Sevtsuk:
Analysis and Planning of Urban Networks. 25-37 - Faraz Zaidi, Chris Muelder, Arnaud Sallaberry:
Analysis and Visualization of Dynamic Networks. 37-48 - Analysis of Social Relations. 48
- Analytical Models for Social Preferences. 48
- Annotations. 48
- Anonymity. 48
- Sean Chester
, Bruce M. Kapron, Gautam Srivastava, Srinivasan Venkatesh, Alex Thomo:
Anonymization and De-anonymization of Social Network Data. 48-56 - Anonymization of Data. 56
- Applications. 56
- Archives. 56
- Art About Networks. 56
- Isabel Meirelles, Maximilian Schich, Roger F. Malina:
Arts and Humanities, Complex Network Analysis of. 56-60 - ASP. 60
- ASP.NET. 60
- Assortative Behavior. 60
- Auction Fraud. 61
- Augmented Matrix. 61
- Authority. 61
- Automatic Document Topic Identification. 61
- Mostafa M. Hassan, Fakhreddine Karray, Mohamed S. Kamel:
Automatic Document Topic Identification Using Social Knowledge Network. 61-72 - Avatar. 72
- Awareness. 72
B
- Bayesian Games. 73
- Bayesian Networks. 73
- B2B Marketing. 73
- Belief. 73
- Belief Propagation. 73
- David A. Bader, Henning Meyerhenke, Peter Sanders, Christian Schulz, Andrea Kappes, Dorothea Wagner:
Benchmarking for Graph Clustering and Partitioning. 73-82 - Biased Graph. 82
- Bibliometrics. 82
- Biclustering. 82
- Biosurveillance. 82
- Blackhole Pattern. 82
- Blind Source Separation. 82
- Board Interlocks. 82
- Boundary Problem. 82
- Boundary Spanning. 82
- BPEL4People. 82
- Brokerage. 82
- Bump Hunting Technique. 82
- Business Marketing. 82
- Business Process Creation. 83
- Business Process Intelligence. 83
- Ross Brennan:
Business-to-Business Marketing. 83-86
C
- Caching. 87
- Call Network. 87
- Capital. 87
- Categorical Data Similarity. 87
- Causalanalysis. 87
- Centrality. 87
- Centrality Measures. 87
- Centrality Urban Design. 87
- CGI. 87
- Chains. 87
- Changeable Networks. 87
- Changes of Social Groups. 88
- Chart. 88
- Check-in. 88
- Choice of Setting. 88
- Citizen Participation. 88
- Citizen Sensing. 88
- City Planning. 88
- Clandestine Networks. 88
- Martin G. Everett:
Classical Algorithms for Social Network Analysis: Future and Current Trends. 88-94 - Classifier Fusion. 94
- Stefan Tai, David Bermbach:
Cloud Computing. 94-100 - Cloud Services. 100
- Cluster Analysis. 100
- Clustering. 100
- Davide Eynard, Marco Alberto Javarone, Matteo Matteucci:
Clustering Algorithms. 101-114 - Clustering Evaluation. 114
- Clustering Objective Function. 114
- Clusters. 115
- Co-authorship Networks. 115
- Coevolution of Networks and Behavior. 115
- Jacob L. Miller, V. K. Narayanan:
Cognitive Strategic Groups. 115-117 - Cohesive Subgroup, Community Detection. 117
- Collaboration Analysis. 118
- Collaboration Metrics. 118
- Collaboration Patterns. 118
- Didi Surian, David Lo, Ee-Peng Lim:
Collaboration Patterns in Software Developer Network. 118-124 - Collaboration Platforms. 124
- Collaborative Editing. 124
- Collaborative Filtering. 124
- Collaborative Problem-Solving. 124
- Collaborative Tagging. 124
- Collecting Network Data. 124
- Nancy L. Leech, Kathleen M. T. Collins, Anthony J. Onwuegbuzie:
Collecting Qualitative Data for Social Network Analysis and Data Mining. 124-133 - John W. Mohr, Petko Bogdanov:
Collection and Analysis of Relational Data from Digital Archives. 133-136 - Beate Völker:
Collection and Analysis of Relational Data in Organizational and Market Settings. 136-144 - Collective Action. 144
- Tomasz Kajdanowicz, Przemyslaw Kazienko:
Collective Classification. 144-156 - Przemyslaw Kazienko, Tomasz Kajdanowicz:
Collective Classification, Structural Features. 156-168 - Collective Decision Making and Social Networks. 168
- Collective Intelligence. 168
- Daniel Schall, Florian Skopik:
Collective Intelligence for Crowdsourcing and Community Q&A. 169-177 - Yiannis Kompatsiaris, Sotiris Diplaris, Symeon Papadopoulos:
Collective Intelligence, Overview. 177-189 - Collective Response. 190
- Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
Combining Link and Content for Community Detection. 190-201 - Jana Diesner, Marc A. Smith:
Combining Online Maps with Text Analysis. 202-206 - Comment. 206
- Common Sense Reasoning. 206
- Communication. 206
- Communication Network. 206
- Communities. 206
- Community Computing. 206
- Community Detection. 206
- Soumya Banerjee, Sumit Singh, Eiman Tamah Al-Shammari:
Community Detection in Social Network: An Experience with Directed Graphs. 207-214 - Sune Lehmann:
Community Detection, Current and Future Research Trends. 214-220 - Community Discovery. 220
- Piotr Bródka, Stanislaw Saganowski, Przemyslaw Kazienko:
Community Evolution. 220-232 - Mahadevan Vasudevan, Narsingh Deo:
Community Identification in Dynamic and Complex Networks. 232-238 - Community Mining. 238
- Community: Module, Cluster, Group. 238
- Community Structure. 238
- Company Chart. 238
- Comparison Criteria. 238