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Titlebook: State of the Art Applications of Social Network Analysis; Fazli Can,Tansel ?zyer,Faruk Polat Book 2014 Springer International Publishing S

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21#
發(fā)表于 2025-3-25 07:22:38 | 只看該作者
A Randomized Approach for Structural and Message Based Private Friend Recommendation in Online Socimers. Besides this, friend recommendation is an important tool for recommending potential candidates as friends to users in order to enhance the development of the entire network structure. Existing friend recommendation methods utilize social network structure and/or user profile information. Howev
22#
發(fā)表于 2025-3-25 08:41:32 | 只看該作者
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發(fā)表于 2025-3-25 12:40:18 | 只看該作者
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發(fā)表于 2025-3-25 16:26:10 | 只看該作者
An Agent-Based Modeling Framework for Social Network Simulation,nalysis has generated a new wave of interest in many different research fields, nonetheless software instruments specifically created for agent-based social network simulation are still missing. However, restricting the field of interest specifically to social network models and simulations instead
25#
發(fā)表于 2025-3-25 23:17:10 | 只看該作者
26#
發(fā)表于 2025-3-26 01:14:48 | 只看該作者
Predicting Users Behaviours in Distributed Social Networks Using Community Analysis,apter is devoted to the analysis of the propensity of a user to stop using a social platform in a near future. This problem is called churn prediction and has been extensively studied in telecommunication networks. We first present a novel algorithm to accurately detect overlapping local communities
27#
發(fā)表于 2025-3-26 04:32:33 | 只看該作者
What Should We Protect? Defining Differential Privacy for Social Network Analysis,cial networks can provide valuable information for revenue generation and social science research, but unfortunately, ensuring this analysis does not violate individual privacy is difficult. Simply anonymizing graphs or even releasing only aggregate results of analysis may not provide sufficient pro
28#
發(fā)表于 2025-3-26 10:24:15 | 只看該作者
29#
發(fā)表于 2025-3-26 13:45:37 | 只看該作者
30#
發(fā)表于 2025-3-26 20:02:15 | 只看該作者
@Rank: Personalized Centrality Measure for Email Communication Networks, the researchers have disclosed interesting patterns, hinting on social roles and importance of actors in such networks. Email communication analysis has been previously applied to discovering cliques and fraudulent activities (e.g. the Enron email network), to observe information dissemination patt
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