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Modelling of Trends in Twitter Using Retweet Graph Dynamics [chapter]

Marijn ten Thij, Tanneke Ouboter, Daniël Worm, Nelly Litvak, Hans van den Berg, Sandjai Bhulai
2014 Lecture Notes in Computer Science  
In this paper we model user behaviour in Twitter to capture the emergence of trending topics. For this purpose, we first extensively analyse tweet datasets of several different events.  ...  In particular, for these datasets, we construct and investigate the retweet graphs. We find that the retweet graph for a trending topic has a relatively dense largest connected component (LCC).  ...  In this paper, we investigate the dynamics of retweet graphs with the goal to predict peaks in Twitter activity and classify the nature of trends.  ... 
doi:10.1007/978-3-319-13123-8_11 fatcat:xkramv6lnzdtpd4qm3ut27hs4i

Seismic: A Self-Exciting Point Process Model for Predicting Tweet Popularity using Hashtags

Karthick. D, Dr. G. Vadivu
2017 International Journal of Trend in Scientific Research and Development  
In existing paper they had used a full month of Twitter data to evaluate SEISMIC .In which the original data set contains over 3.2 billion tweets and retweets on Twitter from Octobor 7 to November 7, 2011  ...  So here we are going to propose the mining of tweets with a particular #hashtags and going to formulate the number of retweets in an efficient manner ,so that it will be more efficient in terms of organizing  ...  Existing models either fail to model the triggering e ect of retweeting dynamics, e.g., the model based on reinforced Poisson process, or are hard to be trained using only the retweeting dynamics of individual  ... 
doi:10.31142/ijtsrd2366 fatcat:rsynjevxnva5vly3wigyomj6iy

Detection of Trending Topic Communities

Lorena Recalde, David F. Nettleton, Ricardo Baeza-Yates, Ludovico Boratto
2017 Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17  
The rise of a trending topic on Twitter or Facebook leads to the temporal emergence of a set of users currently interested in that topic.  ...  Given the temporary nature of the links between these users, being able to dynamically identify communities of users related to this trending topic would allow for a rapid spread of information.  ...  This will allow us to understand the dynamics that characterize the activity on Twitter, even before communities are detected. (2) Analysis of the disconnected users.  ... 
doi:10.1145/3078714.3078735 dblp:conf/ht/RecaldeNBB17 fatcat:qiybldmmknb5hco2zkjpims5xa

Modeling trend progression through an extension of the Polya Urn Process [article]

Marijn ten Thij, Sandjai Bhulai
2015 arXiv   pre-print
We use a random graph (RG) model to mimic the progression of a trend through the network. The context of the trend is not included in our model.  ...  Knowing how and when trends are formed is a frequently visited research goal. In our work, we focus on the progression of trends through (social) networks.  ...  [16] study different patterns of hashtag trends in Twitter. They also observe four different classes of hashtag trends. Rattanaritnont et al.  ... 
arXiv:1511.01861v1 fatcat:xfp5vj45qva6xghh3smobazuum

The analysis of infuential users evolution in microblogging social networks

Giambattista Amati, Simone Angelini
2017 Zenodo  
The model of the evolution of the Twitter social network is based on the retweet relationship.  ...  To this aim, we consider the Dynamic Retweet Graph (DRG) proposed in [3] and partially analyzed in [4, 2].  ...  DRG temporal graphs In this paper we will use a definition of Dynamic Retweet Graph (DRG) slightly different from the one in [4] .  ... 
doi:10.5281/zenodo.3889027 fatcat:ow3pmhprdbek5boskrxmx6ai5e

On predicting Twitter trend

Peng Zhang, Xufei Wang, Baoxin Li
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
In this paper, we predict hashtag trend in Twitter network with two basic issues under investigation, i.e. trend factors and prediction models.  ...  To address the second issue, we adopt prediction models that have different combinations of the two basic model properties, i.e. linearity and state-space.  ...  Any opinions expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.  ... 
doi:10.1145/2492517.2492576 dblp:conf/asunam/ZhangWL13 fatcat:jhrwfzop5zd23fjlcirv5tgwcu

Detection of Trending Topic Communities: Bridging Content Creators and Distributors

Lorena Recalde
2017 BCS-IRSG Symposium on Future Directions in Information Access  
The rise of a trending topic on Twitter leads to the temporal emergence of a set of users currently interested in that topic.  ...  This is a novel problem on group-to-group interactions in the context of recommender systems and user modeling.  ...  In the RBC method, the set of edges in the graph connects two users only if one retweeted the other.  ... 
doi:10.14236/ewic/fdia2017.6 dblp:conf/fdia/Recalde17 fatcat:rntck66o4rgtheih3q2hnl6jbu

Inferring User Political Preferences from Streaming Communications

Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme
2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
When updating models over time based on Twitter, we find that political preference can be often be predicted using roughly 100 tweets, depending on the context of user selection, where this could mean  ...  iii) estimate the amount of time and tweets required for a dynamic model to predict user preferences.  ...  Identifying Twitter Social Graph Twitter users interact with one another and engage in direct communication in different ways e.g., using retweets, user mentions e.g., @youtube or hashtags e.g., #tcot,  ... 
doi:10.3115/v1/p14-1018 dblp:conf/acl/VolkovaCD14 fatcat:mrxb4ssp4nhb3abhs2wcr5yl7a

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs [article]

Catherine Ordun, Sanjay Purushotham, Edward Raff
2020 arXiv   pre-print
As the time to retweet increases, the density of connections also increase where in our sample, we found distinct users dominating the attention of Covid19 retweeters.  ...  First, we use pattern matching and second, topic modeling through Latent Dirichlet Allocation (LDA) to generate twenty different topics that discuss case spread, healthcare workers, and personal protective  ...  ACKNOWLEDGMENT The authors would like to acknowledge John Larson from Booz Allen Hamilton for his support and review of this article.  ... 
arXiv:2005.03082v1 fatcat:cxivp6ic2zbdjab63gleg34vka

twAwler: A lightweight twitter crawler [article]

Polyvios Pratikakis
2018 arXiv   pre-print
It performs a complete crawl for all users, discovering many standard user relations, including the retweet graph, mention graph, reply graph, quote graph, follow graph, etc. twAwler respects all twitter  ...  policies and rate limits, while able to monitor large communities of active users. twAwler was used between August 2016 and March 2018 to generate an extensive dataset of close to all Greek-speaking twitter  ...  In addition to the Follow Graph, stored as a dynamic graph of timestamped edges, twAwler also scans tweets to generate a set of graphs among users, namely the Retweet Graph, Mention Graph, Reply Graph,  ... 
arXiv:1804.07748v1 fatcat:hmyeo6c5pzadra6rzsw5oiy4xm

Measuring user influence on Twitter: A survey

Fabián Riquelme, Pablo González-Cantergiani
2016 Information Processing & Management  
Twitter has different types of users, but the greatest utility lies in finding the most influential ones.  ...  Some are based on simple metrics provided by the Twitter API, while others are based on complex mathematical models.  ...  The biggest problem is whether we use G 2 or G 3 graphs, which explicitly represents the high dynamics of the network. If we consider G 1 graphs, the problem is the huge amount of Twitter users.  ... 
doi:10.1016/j.ipm.2016.04.003 fatcat:5allfl5unrhfjisk5yvbspn634

Visual analysis of retweeting propagation network in a microblogging platform

Quan Li, Huamin Qu, Li Chen, Robert Wang, Junhai Yong, Detan Si
2013 Proceedings of the 6th International Symposium on Visual Information Communication and Interaction - VINCI '13  
Tracking in the pulse of retweeting propagation is important and meaningful.  ...  For revealing the dynamic attributes, we propose two models: the depthvarying and the time-varying parallel data model to illustrate the temporal evolution efficiently.  ...  We have also introduced two parallel data models to depict the dynamic retweeting propagation graph in a single image, which has clear advantages over the traditional presentation for dynamic retweeting  ... 
doi:10.1145/2493102.2493108 dblp:conf/vinci/LiQCWYS13 fatcat:pbaxglcx6vg2xp2vvrbska3xr4

Influential users in Twitter: detection and evolution analysis

Giambattista Amati, Simone Angelini, Giorgio Gambosi, Gianluca Rossi, Paola Vocca
2018 Multimedia tools and applications  
The model of the evolution of the Twitter social network is based here on the retweet relationship.  ...  To this aim, we consider the Dynamic Retweet Graph (DRG) proposed in Amati et al. ( 2016 ) and partially analyzed in Amati et al. (IADIS Int J Comput Sci Inform Syst, 11 (2) 2016), .  ...  DRG temporal graphs In this paper we will use a definition of Dynamic Retweet Graph (DRG) slightly different from the one in [4] .  ... 
doi:10.1007/s11042-018-6728-4 fatcat:smupu4ldmvayrkwypjr7yt3ow4

Social Data Analysis [chapter]

2014 Encyclopedia of Social Network Analysis and Mining  
Bhulai Modelling of trends in Twitter using retweet graph dynamics Proceedings of the 11th Workshop on Algorithms and Models for the Web Graph 2014 (WAW2014), p. 132-147 and [164]: M. ten Thij and S.  ...  Bhulai Modelling of trends in Twitter using retweet graph dynamics Proceedings of the 11th Workshop on Algorithms and Models for the Web Graph 2014 (WAW2014), p. 132-147  ... 
doi:10.1007/978-1-4614-6170-8_100832 fatcat:hkaondyw5jb73dnq45p6mwzkpe

A Power Law Approach to Estimating Fake Social Network Accounts [article]

Tushti Rastogi
2016 arXiv   pre-print
We analyze the trend of total number of tweets, average retweets and total number of followers for various nodes for different social and political backgrounds.  ...  This paper presents a method to validate the true patrons of a brand, group, artist or any other entity on the social networking site Twitter.  ...  ANALYSIS OF SPORTSMEN Power law trend line is represented by a dashed line running along the data output in the graphs.  ... 
arXiv:1605.07984v1 fatcat:fdfcy2g5obdbfglsn37fnuvnia
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