[PDF] Top 20 Classification Based Diffusion Analysis in Social Network
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Classification Based Diffusion Analysis in Social Network
... use social networking sites. Social network is most emerging platform for marketing and ...underlying network externalities, as in a decision to use a new product such as a new home appliance ... See full document
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Customer churn prediction in telecom using machine learning in big data platform
... customer social network in the prediction model by extracting Social Network Analysis (SNA) ...for classification in this churn predictive ... See full document
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Beat classification of an ecg signal using photoplethysmography and neural network
... Firstly, the overall performance was tested with the10 dimensional PPG features, bypassing the feature selection phase. Secondly, selected features were used for performance analysis. Both ANN and SVM were used ... See full document
6
The conceptual foundations of Network-Based Diffusion Analysis: choosing networks and interpreting results
... of social transmission in a population, group or context, However, it is not currently well established how an NBDA using each of the various kinds of networks relates to the underlying process of social ... See full document
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Diffusion of a gear-based conservation innovation: adoption patterns and social - ecological outcomes
... 65 To assess agency, I used three attitudinal questions. First, respondents were asked to state the extent at which their personal capabilities determine success in fishing. Second, I asked respondents to indicate ... See full document
242
Sentiment Analysis of News Event-based Social Network using Data Mining Technique
... of social media takes the attention of the internet users across the word wide to discuss and share the events/things they are interested on social media ...of social media data spread on the web has ... See full document
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ANALYSIS OF WEB USAGE MINING TECHNIQUES FOR WEB CRIME PATTERNS OF THE WEB USERS
... Some results on crime mining have been made through using data mining techniques. Chen et al. [1] applied data mining techniques to study crime cases, which mainly concerned entity extraction, pattern clustering, ... See full document
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Unselfish incentive schemes : a tool to influence peoples' preferences in adoption and diffusion processes
... of diffusion research and reveal interpersonal mechanisms in diffusion processes that were not available in the ...studies based on observations of co-occurring events or “associations” between ... See full document
242
Overcoming Language Variation in Sentiment Analysis with Social Attention
... to social properties of the au- ...exploit social networks to make sentiment analysis more robust to social language ...neural network architec- ture, in which attention is divided ... See full document
14
Quantitative succinylome analysis in the liver of non-alcoholic fatty liver disease rat model
... succinylome analysis, tandem mass tags (TMT)-labeling, highly sensitive immune-affinity purification, liquid chromatography-tandem mass spectrometry techniques were ...Bioinformatics analysis including gene ... See full document
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Enhanced Weight Based Convolutional Neural Network (EWCNN) and Fuzzy Clustering For Semantically Rich Multi Label Social Emotion Classification
... emotion classification was enhanced through sentiment classification and this was the main target of this proposed ...emotion classification task very ...Optimization based Sparse Encoding ... See full document
10
Classification Methods for Spam Detection in Online Social Network
... Existing system used user-based and content-based features that are different between spammers and legitimate users. Then, they use these features to facilitate spam detection. Using the API methods ... See full document
6
Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study
... alimbic network. One recent meta-analysis has revealed hyperactivation in the subgenual anterior cingulate cor- tex and parahippocampal gyrus during affective pro- cessing tasks; but hypoactivation in the ... See full document
10
Wavelet based and database approach for locating faulty section of high impedance fault in a distribution system
... work, classification of the faulty section in a complex distribution network using discrete wavelet transform-based multi-resolution analysis and a database approach is ...distribution ... See full document
8
Rational Erdös number and maximum flow as measurement models for scientific social network analysis
... In social network analysis, the detection of communities — composed of people with common interests — is a classical ...information diffusion strategies and the identification of communities ... See full document
17
Robust and adaptive diffusion based classification in distributed networks
... the classification/labeling procedure into two main steps: in a local clustering phase each node calculates a prelimi- nary estimate of the cluster characteristics ...global classification phase. Here, ... See full document
13
Knowledge Diffusion in Social Network
... of social network is a new but quickly widening multidisciplinary area involving, social, mathematical, statistical and computer science (Burt, ...term social network refers to the ... See full document
8
Innovation creation and diffusion in a social network: an agent based approach
... We started our work from some theoretical deepening of economic lit- erature on innovation; some insights on the nature and role of knowledge in entrepreneurial activity were useful to circumstantiate the subject of the ... See full document
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A System to Monitor Cyberbullying based on Message Classification and Social Network Analysis
... other social networks and chat applica- ...the network require some processing time and cannot be performed on the fly, especially in case of large user ...the network, retrieve and classify the ... See full document
6
Priority Sequence of Generic Technologies Commercialization: Take Biotechnology for an Example
... knowledge diffusion is ...technologies classification perspective based on bottom-up tree structure, us- ing social network analysis method, this paper puts forward a method ... See full document
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