Network intelligence meets user centered social media networks /
نام عام مواد
[Book]
نام نخستين پديدآور
Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródke, Przemyslaw Kazienko, editors.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Cham, Switzerland :
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
2018.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource
فروست
عنوان فروست
Lecture notes in social networks
يادداشت کلی
متن يادداشت
Includes index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Intro; Contents; Part I Centrality and Influence; Targeting Influential Nodes for Recovery in Bootstrap Percolation on Hyperbolic Networks; 1 Introduction; 2 Background; 2.1 Bootstrap Percolation; 2.2 Hyperbolic Random Geometric Graphs; 3 Conceptual Framework for Bootstrap Percolation with Recovery; 3.1 Proposed Method of Bootstrap Percolation with Recovery; 4 Experimental Set-up; 4.1 Graph Creation; 4.2 Simulation of Bootstrap Percolation on the Set of Hyperbolic Graphs; 4.3 Bootstrap Percolation with Recovery; Random Recovery; Targeted Recovery Based on Node Degree Ranking; 5 Results
متن يادداشت
3 Data Collection and Preprocessing3.1 Network and Subgraph Extraction; 3.2 Data Cleaning; 4 Time-Respecting Influence Measure; 4.1 Acceleration Coefficient; 4.2 Main Path Analysis Incorporating Time; 5 Analysis of Case Studies; 5.1 Identification of Accelerators; 5.2 Main Path Analysis of Information Diffusion; 6 Discussion and Conclusion; References; Part III Algorithms and Applications I; Community Aliveness: Discovering Interaction Decay Patterns in Online Social Communities; 1 Introduction; 2 Related Work; 3 Preliminary Definitions; 3.1 Networks and Measures; 3.2 Binary Classification
متن يادداشت
4 Experiments5 Conclusion; References; Part II Knowledge and Information Diffusion; Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums; 1 Introduction; 2 Structure of MOOC Networks; 2.1 Electronic Networks of Practice (ENP); 2.2 Interpreting Network Patterns Through Reciprocity Construct; 2.3 Network Patterns of Reciprocity in ENP and MOOCs; 2.4 Research Questions; 3 Methods; 3.1 Network Construction; Defining the Edges; Defining the Nodes; Temporal Boundaries; 3.2 Exponential Random Graph Modelling; 3.3 Modelled Configurations and Effects; Structural Configurations
متن يادداشت
5.1 Bootstrap Percolation5.2 Bootstrap Percolation with Recovery; Bootstrap Percolation with Random Recovery; Bootstrap Percolation with Targeted Recovery; 6 Conclusion; References; Process-Driven Betweenness Centrality Measures; 1 Introduction; 2 Definitions; 3 Related Work; 4 Data Sets; 5 Assumptions of Betweenness Centrality; 6 Process-Driven Betweenness Centrality Measures; 7 Results; 8 Summary and Future Work; References; Behavior-Based Relevance Estimation for Social Networks Interaction Relations; 1 Introduction; 2 Related Work; 3 Approach; 3.1 The Model; 3.2 Classification
متن يادداشت
Node AttributesGoodness of Fit; 4 Results; 5 Discussion; 6 Conclusions; References; Extracting the Main Path of Historic Events from Wikipedia; 1 Introduction; 2 Main Path Analysis; 2.1 Preliminaries; 2.2 Main Path Computation; 3 Extracting the Main Path of Historic Events; 3.1 A Graph of Historic Events in Wikipedia; 3.2 Implementation of the Parser Component; 3.3 Implementation of the Visualization Component; 4 Results; 5 Conclusion; References; Identifying Accelerators of Information Diffusion Across Social Media Channels; 1 Introduction; 2 Background and Related Work
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.--
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9783319903125
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Network intelligence meets user centered social media networks.