Social Network Knowledge-Sharing Online Social Networks Community Detection Decision Maker Supply Chain User Behavior View all Topics Liu, Peide Shandong Key Laboratory of New Smart Media, Jinan, China Citations 16,014 h-index 67 Publications
We investigate how different choices for the number of topics, discretization of time, and time lag affect the algorithm's performance on Twitter data, benchmarked against retweet rates.doi:10.1002/9781119204183.ch6Baesens, BartJohn Wiley & Sons, Inc....
Social Network Analysis Related Topics A Social Network Analysis Chatbot Mobile Coach NOVEMBER 3, 2021 Why a Chatbot for Social Network Analysis? Surveying is the most common method to analyze employee social network health, however these are typically challenging to complete, a drain on ...
What Does Social Network Analysis Mean? Social network analysis (SNA) is a process of quantitative and qualitative analysis of a social network. SNA measures and maps the flow of relationships and relationship changes between knowledge-possessing entities. Simple and complex entities include websites,...
Network studies have appeared regularly in management journals, contributing to the investigation of a wide range of organizational topics across different levels of analysis. The following figure illustrates the exponential growth of network research since his origin in the fields of socio-psychology and...
andbythesheervolumeofworkthatusesnetworkideasandnetworkmethods.Networkstudieshaveappearedregularlyinmanagementjournals,contributingtotheinvestigationofawiderangeoforganizationaltopicsacrossdifferentlevelsofanalysis.Thefollowingfigureillustratestheexponentialgrowthofnetworkresearchsincehisorigininthefieldsofsocio-psychologyand...
for data mining, social network analysis, and information for sensing public opinion trends and groundswells of support for (or opposition to) various political and social initiatives.Data science companiesare finding Twitter trend topics increasingly useful as a valuable proxy for measuring public ...
Incorporating Popularity in Topic Models for Social Network Analysis Topic models are used to group words in a text dataset into a set of relevant topics. Unfortunately, when a few words frequently appear in a dataset, the t... Y Cha,B Bi,Hsieh, Chu-Cheng,... - International Acm Sigir ...
topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a...