Optimal Semantic Labeling of Social Network Clusters

Bibliographic Details
Main Author: Peng, Shuyue
Language:English
Published: University of Cincinnati / OhioLINK 2014
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821134
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14068211342021-08-03T06:26:29Z Optimal Semantic Labeling of Social Network Clusters Peng, Shuyue Computer Science clustering social network semantic label Twitter is one of the most popular social networking services. By analyzing social network data, meaningful information can be discovered, such as popular topics users are discussing and trends of important events. This thesis focuses on the problem of discovering and optimizing semantic labeling of network clusters using Twitter data sets. Specifically, we focus on prominent, individual Twitter accounts around the University of Cincinnati. With its heavily structured nature, Twitter is an appropriate environment in which to observe social interactions and determine the level of influence a given individual exerts on the people who see their content. The data sets we used in this thesis consists of a very active group of users associated with the account of President of University of Cincinnati. By applying an algorithmic design based on Order Statistics Local Optimization Method(OSLOM) algorithm, we cluster all accounts into several groupings or clusters according to their mutual relationships. We also develop a method to label accounts by analyzing tweets from selected accounts. We eliminate stop words and label accounts by word occurrence number to find out their interests and hot topics.? 2014-10-13 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821134 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821134 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
clustering
social network
semantic label
spellingShingle Computer Science
clustering
social network
semantic label
Peng, Shuyue
Optimal Semantic Labeling of Social Network Clusters
author Peng, Shuyue
author_facet Peng, Shuyue
author_sort Peng, Shuyue
title Optimal Semantic Labeling of Social Network Clusters
title_short Optimal Semantic Labeling of Social Network Clusters
title_full Optimal Semantic Labeling of Social Network Clusters
title_fullStr Optimal Semantic Labeling of Social Network Clusters
title_full_unstemmed Optimal Semantic Labeling of Social Network Clusters
title_sort optimal semantic labeling of social network clusters
publisher University of Cincinnati / OhioLINK
publishDate 2014
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821134
work_keys_str_mv AT pengshuyue optimalsemanticlabelingofsocialnetworkclusters
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