[PDF] Top 20 Topic-based Social Influence Measurement for Social Networks
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Topic-based Social Influence Measurement for Social Networks
... influence. Cataldi and Aufaure (2014) estimated Twitter user influence for topics of conversations based on ...a topic information exchange graph to take the information diffusion and degree ... See full document
14
A game theory-based trust measurement model for social networks
... In this section, we present the simulation results to verify the effectiveness of the pro- posed model. The hardware simulation environment is: Intel Core (TM) Duo 2.66 GHz CPU, 2GB Memory, Windows XP operating system, ... See full document
16
Context based influence maximization with privacy protection in social networks
... of influence maximization problem when facing more practical ...the influence ability between nodes in real world may be affected by privacy protection ...in social applications, people are allowed ... See full document
21
Community Detection in Social Networks Considering Topic Correlations
... topics. Networks are created based on a large amount of heterogeneous and complex contents, such as microblogs, tweets, and posts. This type of information is considered as node contents or link contents ... See full document
8
Sentiment Analysis in Social Networks through Topic modeling
... different topic based on the ANEW dictionary (Bradley and Lang, ...sentiments based on the Russell’s model (Rus- sell, 2003). The topic sentiment analysis provides a more precise snapshot of ... See full document
8
Improving community health networks for people with severe mental illness : a case study investigation
... their networks, actively engaging in evaluating strategies and forming new plans, will vary from person to person and so too will the degree to which individuals themselves impose constraints on ...One ... See full document
267
Assessing the role of participants in evolution of topic lifecycles on social networks
... and social angles are not explored by this work—it does not consider the semantics of the hashtags or the individual Twitter users (and their rela- tionships) using ...KSC, based on the hypothesis that ... See full document
18
Influence Maximization in Social Networks by Injecting Memes
... accurate influence of each of the graph sizes with respect to the real ...the influence within a graph G, we go through each of the probabilities p ∈ ...the influence in the graph using the ... See full document
7
Influence of Social Broadcasting Networks on News Consumption
... individual measurement item reliability, internal consistency and discriminant ...the measurement model was examined prior to assessing the structural (research) model (Hsieh and Wang ...The ... See full document
29
Time sensitive influence maximization in social networks
... A social network can be modeled as a directed graph G=(V, E), where V is the set of nodes and E is the set of edges or ...section, influence maximization is a fundamental problem in social ...the ... See full document
16
New Methods for Ranking Influence in Social Networks
... This paper analyzed an actual diffusion dataset from an OSN called Tumblr, from where we have built a weighted network based on the relationship activities. We aimed at ranking the nodes in the network in order to ... See full document
19
Design and analysis of a general data evaluation system based on social networks
... financial topic. Reference [9] proposes a hybrid ensemble model based on BP neural network and EEMD to predict FTSE100 closing ...method based on ex- treme learning machine ... See full document
10
Modeling user and topic interactions in social networks using Hawkes processes
... If estimating parametric kernels φ of exponential or power- law type (see section 2), the convolution φ ∗ dX must be calculated at each NMF update, which increases consider- ably the running time of the algorithm, since ... See full document
8
User characteristics that influence judgment of social engineering attacks in social networks
... vulnerabilities based on our proposed ...developed based on the proposed characteristics, in order to automatically identify vulnerable individuals in the population in order to provide security ... See full document
24
Topic Modeling of Environmental Data on Social Networks Based on ED-LDA
... clustering based on partitioning algorithms (such as means - K algorithm), based on the level of algorithm (top-down and bottom-up algorithm), based on the density of the algorithm and so ...this ... See full document
7
Social influence analysis in microblogging platforms A topic sensitive based approach
... of Social Media, particularly microblogging platforms such as Twitter, has proven to be an effective channel for pro- moting ideas to online ...and influence of information in large-scale ...studying ... See full document
17
Influence-based community partition for social networks
... In this subsection, we present two heuristic algorithms for MKCP. As mentioned in ‘Related work’ section in the literature, there are mainly four categories of methods for community partition: hierarchy-based ... See full document
18
Effective chronic disease progression model
... Map-Reduce. Social network analysis often focus on macro-level models such as degree distributions, diameter, clustering coefficient, communities, small world effect, preferential attachment, ...Recently, ... See full document
11
Constructing Empirical Likelihood Confidence Intervals for Medical Cost Data with Censored Observations
... social networks. With respect to delay tolerant net- works, mobile social networks also consider social patterns as well as mobility ...mobile social net- ...A ... See full document
139
Topic based influence computation in social networks under resource constraints
... using topic-specific probabilities in the random surfer ...their influence measure utilizes the number of posts made on a specific ...capture influence. Therefore, we use topic distributions ... See full document
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