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Characterization of the twitter @replies network

Daniel Sousa, Luís Sarmento, Eduarda Mendes Rodrigues
2010 Proceedings of the 2nd international workshop on Search and mining user-generated contents - SMUC '10  
This paper presents an analysis of the users' interactions in the implicit network derived from tweet replies of a specific dataset obtained from a popular microblogging service, Twitter 1 .  ...  Thus, the main goal of this paper is to investigate if people selectively choose whom to reply to based on the topic or, otherwise, if they reply to anyone about anything.  ...  To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. of social networks and the characterization of social ties is a topic of  ... 
doi:10.1145/1871985.1871996 dblp:conf/cikm/SousaSR10 fatcat:7zc5rvqqp5dyzkvw4ol5b3jyia

Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks [article]

Kuntal Dey, Saroj Kaushik, L. Venkata Subramaniam
2017 arXiv   pre-print
The current article presents a survey of representative models that perform topic analysis, capture information diffusion, and explore the properties of social connections in the context of online social  ...  Researchers have attempted to model information diffusion and topic trends and lifecycle on online social networks.  ...  to a message) and network score (the influence of a users' audience) to measure user influence levels, they characterize the propagation of opinions among many users regarding different topics on social  ... 
arXiv:1706.00921v1 fatcat:doqorr3v2zhq5oiemm5zhlmc3u

Topic Diffusion and Emergence of Virality in Social Networks [article]

S. Rajyalakshmi, Amitabha Bagchi, Soham Das, Rudra M. Tripathy
2012 arXiv   pre-print
The dynamics of our model are based on notions taken from real-world OSNs like Twitter where users either adopt an exogenous topic or copy topics from their neighbors leading to endogenous propagation.  ...  We propose a stochastic model for the diffusion of topics entering a social network modeled by a Watts-Strogatz graph.  ...  In a microblogging network like Twitter, where the users quickly browse their timeline and retweet or reply to tweets, multiple instances do not act in order to convince the user to speak on a topic.  ... 
arXiv:1202.2215v1 fatcat:bx3so3tcana4fdzdh6hsluusqa

Reconstruction and analysis of Twitter conversation graphs

Peter Cogan, Matthew Andrews, Milan Bradonjic, W. Sean Kennedy, Alessandra Sala, Gabriel Tucci
2012 Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research - HotSocial '12  
We examine the case of Twitter, the micro-blogging social network.  ...  We focus on the particular case of a conversation formed by users replying to tweets.  ...  However, the general topic of information propagation in social networks has been addressed previously.  ... 
doi:10.1145/2392622.2392626 fatcat:2vjjkptubjh63jbxqx777ddimu

Characterizing Communication Networks Associated with Political Hashtags

Misa Maruyama, Daniel D. Suthers, Scott P. Robertson
2014 2014 47th Hawaii International Conference on System Sciences  
Results show that hashtag-centered reply and retweet networks in this domain do not fall clearly into the social or informational categories.  ...  Among the diverse forms of communication and information networks found in the Web 2.0 environment, "social" and "informational" communication networks have been characterized in terms of their network  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/hicss.2014.199 dblp:conf/hicss/MaruyamaSR14 fatcat:a2erohnkindh3btxjzoi2rb2du

Identifying topical authorities in microblogs

Aditya Pal, Scott Counts
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
To address this, we first propose a set of features for characterizing social media authors, including both nodal and topical metrics.  ...  Content in microblogging systems such as Twitter is produced by tens to hundreds of millions of users.  ...  importance based on their network ties.  ... 
doi:10.1145/1935826.1935843 dblp:conf/wsdm/PalC11 fatcat:lmxdvxsrhna3dbsjyrcast4pg4

Spatio-Temporal Analysis of Topic Popularity in Twitter [article]

Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Amit Ruhela, Aaditeshwar Seth, Rudra M. Tripathy, Sipat Triukose
2011 arXiv   pre-print
We present the first comprehensive characterization of the diffusion of ideas on Twitter, studying more than 4000 topics that include both popular and less popular topics.  ...  We focus on two different notions of the spatial: the network topology formed by follower-following links on Twitter, and the geospatial location of the users.  ...  [16] investigated whether user interactions on Twitter are based on social ties or on topics, by tracking replies and message exchange on Twitter; their study is focused on only three topics namely  ... 
arXiv:1111.2904v2 fatcat:ch7ep7xm5febjmoefsjoowlyeu

Black Twitter? Racial Hashtags, Networks and Contagion

Sanjay Sharma
2013 New Formations  
Beyond conceiving Black Twitter as a group of preconstituted users tweeting racialized hashtags, Blacktags are instrumental in producing networked subjects which have the capacity to multiply the possibilities  ...  Thus, ethno-racial collective behaviours on the Twitter social media platform are grasped as emergent aggregations, materialized through the contagious social relations produced by the networked propagation  ...  For example, the @user-name emerged as a convention of addressivity to direct a message or reply to a user, or simply to reference another user (for example, a celebrity, without the expectation of a reply  ... 
doi:10.3898/newf.78.02.2013 fatcat:t3sayduu5vhzlmphbccdynsk3q

Discovering Emerging Topics in Social Streams via Link Anomaly Detection

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
2011 2011 IEEE 11th International Conference on Data Mining  
We focus on the social aspects of theses networks. That is, the links between users that are generated dynamically intentionally or unintentionally through replies, mentions, and retweets.  ...  Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks.  ...  ACKNOWLEDGMENTS This work was partially supported by MEXT KAKENHI 23240019, 22700138, Aihara Project, the FIRST program from JSPS, initiated by CSTP, Hakuhodo Corporation, NTT Corporation, and Microsoft  ... 
doi:10.1109/icdm.2011.53 dblp:conf/icdm/TakahashiTY11 fatcat:ev4rlcrxyzcjvmfnl2ecqup2za

Discovering Emerging Topics in Social Streams via Link-Anomaly Detection

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
2014 IEEE Transactions on Knowledge and Data Engineering  
We focus on the social aspects of theses networks. That is, the links between users that are generated dynamically intentionally or unintentionally through replies, mentions, and retweets.  ...  Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks.  ...  ACKNOWLEDGMENTS This work was partially supported by MEXT KAKENHI 23240019, 22700138, Aihara Project, the FIRST program from JSPS, initiated by CSTP, Hakuhodo Corporation, NTT Corporation, and Microsoft  ... 
doi:10.1109/tkde.2012.239 fatcat:illyjvwmrvcytcovvsnbaztcwe

Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics [article]

JooYoung Lee, Siqi Wu, Ali Mert Ertugrul, Yu-Ru Lin, Lexing Xie
2022 arXiv   pre-print
In this work, we present a quantitative study that links collective attention across two social platforms -- YouTube and Twitter, centered on online activities surrounding popular videos of three controversial  ...  Whether an ideological group garners more attention across platforms and/or topics, and how the attention dynamics evolve over time, have not been explored.  ...  This allows us to interpret the change in Twitter user base, tweeting behavior, and YouTube attention across videos of different engagement levels.  ... 
arXiv:2204.00988v3 fatcat:6p53kedhfzghhdi3os3x36je5q

Incorporating Social Role Theory into Topic Models for Social Media Content Analysis

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li
2015 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we explore the idea of Social Role Theory (SRT) and propose a novel regularized topic model which incorporates SRT into the generative process of social media content.  ...  A novel application of detecting users' research interests through topical keyword labeling based on the results of our multi-role model has been presented.  ...  It is easy to see that quite a few authors publish papers in multiple areas, and as suggested in [23] , [24] , the users engaged in multiple research areas are likely to be "structural holes".  ... 
doi:10.1109/tkde.2014.2359672 fatcat:jjy6balzvbe4jbzpb66nqcol3e

Social Network Analysis in HCI [chapter]

Derek L. Hansen, Marc A. Smith
2014 Ways of Knowing in HCI  
Fig. 1 A social network consisting of Twitter users ( nodes ) who have tweeted the word "global warming" connected to one another based on Follow, Reply, or Mention relationships ( edges ).  ...  I compare many networks of the same topic or compare topics to one another.  ... 
doi:10.1007/978-1-4939-0378-8_17 fatcat:jwpmxl5dyzcffacjoj5beik2ma

Characterizing interactions in online social networks during exceptional events

Elisa Omodei, Manlio De Domenico, Alex Arenas
2015 Frontiers in Physics  
For each dataset, the users' online activities are modeled by a multilayer network in which each layer conveys a different kind of interaction, specifically: retweeting, mentioning and replying.  ...  of the social dynamics on online social networks during exceptional events.  ...  ., the users that we retweet are not necessarily the same that we mention or we reply to, for example.  ... 
doi:10.3389/fphy.2015.00059 fatcat:ptfzcpnukjdqrm27dsjsa63k3e

Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  In recent years, Online Social Networks (OSNs) have been established as a basic means of communication and often influencers and opinion makers promote politics, events, brands or products through viral  ...  Network Structure (NS): includes social follow-up relationships or other types of network linking (e.g. based on mention, reply actions). b.  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e
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