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Multi-dimensional Conversation Analysis across Online Social Networks [article]

William Lucia and Cuneyt Gurcan Akcora and Elena Ferrari
2013 arXiv   pre-print
In this work, we observe user interactions across two popular online social networks, Facebook and Twitter, and analyze which factors lead to retweet/like interactions for tweets/posts.  ...  We believe that the results of our analysis can help researchers to understand which social network content will have better visibility.  ...  across multiple online social networks has not been studied yet.  ... 
arXiv:1312.6756v1 fatcat:l4inh2gz35c35jgfluhkapww7m

International Norms and Socio-technical Systems: Connecting Institutional and Technological Infrastructures in Governance Processes [chapter]

Claudia Padovani, Elena Pavan
2012 IFIP Advances in Information and Communication Technology  
Adopting a constructivist approach, combined with a focus on governance networks the authors introduce a multi-dimensional analytical framework to investigate governance processes where institutions and  ...  Moreover, in the context of widely diffused information technologies, semantic and social networks develop across the online/offline boundary.  ...  Thus, online thematic networks may provide insights on how multi-actor conversations pushed offline by a relevant governance process are translated into web-based conversational fluxes that are accessible  ... 
doi:10.1007/978-3-642-33332-3_6 fatcat:usoh2t4hwngnbeus2ltvxzwbqq

Factors Influencing Online Social Interactions [chapter]

Ravi Shankar
2011 Lecture Notes in Computer Science  
This study successfully gathers information and proposes an approach to organize the user motivation into a dimensional scale for online social Interactions.  ...  In this paper, factors influencing social interactions with seven popular social networking sites are studied in the Indian context.  ...  Secondly the study also validates the factors studied and helped arrive at an approach for creating a multi-dimensional scale for Social Interactions in general.  ... 
doi:10.1007/978-3-642-21796-8_38 fatcat:uu6huftswbgebasfrlpwnfsd6a

CAMTA: Causal Attention Model for Multi-touch Attribution [article]

Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2021 arXiv   pre-print
Advertising channels have evolved from conventional print media, billboards and radio advertising to online digital advertising (ad), where the users are exposed to a sequence of ad campaigns via social  ...  networks, display ads, search etc.  ...  ) is based on survival theory for multi-channel attribution problem in online advertising.  ... 
arXiv:2012.11403v2 fatcat:rsgo5kh7t5djxby5mr6hfo37lu

Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media [article]

Ramya Akula, Ivan Garibay
2021 arXiv   pre-print
In this work, we focus on detecting sarcasm in textual conversations from various social networking platforms and online media.  ...  We show the effectiveness of our approach by achieving state-of-the-art results on multiple datasets from social networking platforms and online media.  ...  These are sourced from varied online platforms including social networks and discussion forums.  ... 
arXiv:2101.05875v1 fatcat:2xwggicxqjftjpyn3juvzj4hhi

Exploring Asynchronous Online Discussions through Hierarchical Visualisation

Victor Pascual-Cid, Andreas Kaltenbrunner
2009 2009 13th International Conference Information Visualisation  
We introduce a highly customisable Social Visualisation system for exploring online discussions through visual representations of conversation threads.  ...  intrinsic structure of online conversations.  ...  single multi-threaded conversations.  ... 
doi:10.1109/iv.2009.14 dblp:conf/iv/Pascual-CidK09 fatcat:fb6missjbfezjjnjobrede74ky

Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key [article]

Amit Sheth, Valerie L. Shalin, Ugur Kursuncu
2021 arXiv   pre-print
Nevertheless, detecting online toxicity is challenging due to its multi-dimensional, context sensitive nature.  ...  As exposure to online toxicity can have serious social consequences, reliable models and algorithms are required for detecting and analyzing such communication across the vast and growing space of social  ...  As we argue that toxic behavior is multi-dimensional, leading to ambiguity and false alarms, we employ a multilevel and multi-dimensional approach that helps capture differences between various cultural  ... 
arXiv:2104.10788v2 fatcat:dbaat7cbxnhmpdnbw6rzuuksqa

A planetary nervous system for social mining and collective awareness

F. Giannotti, D. Pedreschi, A. Pentland, P. Lukowicz, D. Kossmann, J. Crowley, D. Helbing
2012 The European Physical Journal Special Topics  
level.Social mining is the problem of discovering patterns and models of human behaviour from the sensed data across the various social dimensions by data mining, machine learning and social network analysis  ...  mining, and the idea of trust networks and privacy-aware social mining.  ...  To this aim, social mining needs novel concepts of multi-dimensional pattern discovery and machine learning, and of multi-dimensional social network analysis.  ... 
doi:10.1140/epjst/e2012-01688-9 fatcat:4bjj4ukpzvhd5fhpt2xnf45eli

Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media

Ramya Akula, Ivan Garibay
2021 Entropy  
In this work, we focus on detecting sarcasm in textual conversations from various social networking platforms and online media.  ...  We show the effectiveness of our approach by achieving state-of-the-art results on multiple datasets from social networking platforms and online media.  ...  These are sourced from varied online platforms including social networks and discussion forums.  ... 
doi:10.3390/e23040394 pmid:33810363 fatcat:542l4avmxjapbp3rddo3zowawq

Socioeconomic Patterns of Twitter User Activity

Jacob Levy Abitbol, Alfredo J. Morales
2021 Entropy  
Privacy is preserved by using anonymized data, and abstracting human mobility and online conversation topics as aggregated high-dimensional vectors.  ...  In particular, we look at the way people explore cities and use topics of conversation online as a means of inferring individual socioeconomic status.  ...  Previous analysis of social networks show that those long range connections, which are responsible for the spread of information across the whole system, are also unequally distributed among the different  ... 
doi:10.3390/e23060780 pmid:34205367 pmcid:PMC8235538 fatcat:fdrg5633dzhgbccobsixuw32u4

Procedures for Analyses of Online Communities

Devan Rosen, Joseph Woelfel, Dean Krikorian, George A. Barnett
2006 Journal of Computer-Mediated Communication  
This article details a set of procedures for the analysis and interpretation of the content and structure of online networks and communities.  ...  to receive his M.A. from the Department of Communicationm with a focus in Social Network Analysis and Organizational Communication.  ...  Semantic network analysis is similar to social network analysis in that it uses a node (or actor, which can be discrete individual, corporate, or social entities) and link (or relational tie, the defining  ... 
doi:10.1111/j.1083-6101.2003.tb00219.x fatcat:qodcsk3wifcbbjdisj64yknfru

Analyzing player networks in Destiny

Johanna Pirker, André Rattinger, Anders Drachen, Rafet Sifa
2018 Entertainment Computing  
In this paper, a large-scale study of social networks in hybrid online games/ shooters is presented.  ...  ABSTRACT Destiny is a hybrid online shooter sharing features with Massively Multi-Player Online Games and first-person shooters and is the to date the most expensive digital game produced.  ...  [16] compare social relationships in four multi-player online games and discuss how these compare to online social networks such as Facebook.  ... 
doi:10.1016/j.entcom.2017.12.001 fatcat:dzzjnkigfjbupmodg7qjgkhape

Online Topic-based Social Influence Analysis for the Wimbledon Championships

Varun R. Embar, Indrajit Bhattacharya, Vinayaka Pandit, Roman Vaculin
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
In this paper, we define various functional and usability criteria that social influence scores should satisfy, and propose a multi-dimensional definition of influence that satisfies these criteria.  ...  IBM developed and deployed social influence analysis capability for AELTC during the 2014 edition of the Championship.  ...  In summary, we have presented our online, multi-dimensional approach for topic-specific social influence analysis which was successfully deployed for the Wimbledon 2014 Tennis Championships.  ... 
doi:10.1145/2783258.2788593 dblp:conf/kdd/EmbarBPV15 fatcat:wocw3ldk2fadzjo6lzzfzt2uoi

A Research on Detection of Sarcasm using Machine Learning Techniques

2019 International journal of recent technology and engineering  
Today in the era of flooding information on online forums, social media where decision making of customer(user) is assisted in all possible ways.  ...  To make it more realistic most of assistants and chatbots are built in conversational format which guide user to get correct information.  ...  Methodology Used: Multi-dimensional Intra-Attention Recurrent Network (MIARN) (Yi Tayy, July 15 -20, 2018) (Taradheesh Bali, December 12 2016) proposed a novel approach to detect sarcasm on social media  ... 
doi:10.35940/ijrte.b1160.0982s1119 fatcat:2tcj3zegkzgizhzljr5is5bzgu

A Review on Text-Based Emotion Detection – Techniques, Applications, Datasets, and Future Directions [article]

Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Vora, Ilias Pappas
2022 arXiv   pre-print
It also reviews the different applications of TBED across various research domains and highlights its use.  ...  Hence, it is essential for machines to understand emotions in opinions, feedback, and textual dialogues to provide emotionally aware responses to users in today's online world.  ...  We are focusing on online social media, conversational agents, and review systems.  ... 
arXiv:2205.03235v1 fatcat:b3m25fg6xfc3leeym22eqysq5a
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