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Collective Behavior of Social Bots Is Encoded in Their Temporal Twitter Activity

Andrej Duh, Marjan Slak Rupnik, Dean Korošak
2018 Big Data  
Our results demonstrate that populations of social bots and human users in social media exhibit collective properties similar to the ones found in social and biological systems placed near a critical point  ...  Here we show that there are significant differences in collective behaviour between population of bots and population of humans as detected from their Twitter activity.  ...  Figure 4 shows Discussion Our results show that we can find users with social bot-like and human-like tweeting behaviour within a large group of Twitter users by measuring the lengths and the number  ... 
doi:10.1089/big.2017.0041 pmid:29924648 fatcat:zus73mwypvgjrjtvknssmabnay

Modeling the Interplay Between Individual Behavior and Network Distributions [article]

Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla
2015 arXiv   pre-print
To model heavy-tailed distributions from partially observed individual actions and to predict the formation of group behaviors, we apply M3D to three different genres of networks: Tencent Weibo, Citation  ...  How can one model the connection between individual actions and network distributions? How can one explain the formation of group phenomena and their evolutionary patterns?  ...  A group behavior is assigned to a group of users and represented as the number of action adopters within the group.  ... 
arXiv:1511.02562v1 fatcat:eaexdyj2fjdvtjsbh35fmv6uae

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
They have investigated the role of content, social connections and communities, familiarity and behavioral similarity in this context.  ...  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  ...  Topic Dynamics and Familiarity/Similarity Groups Bringing the aspects of familiarity and similarity together, finding the impact of one on the other, and correlating the two for information modeling, have  ... 
arXiv:1706.00921v1 fatcat:doqorr3v2zhq5oiemm5zhlmc3u

Recurrent Patterns of User Behavior in Different Electoral Campaigns: A Twitter Analysis of the Spanish General Elections of 2015 and 2016

S. Martin-Gutierrez, J. C. Losada, R. M. Benito
2018 Complexity  
Hence, in the light of our results, there are several recurrent collective behavioral patterns that exhibit similar and consistent properties in different electoral campaigns.  ...  Additionally, we have revealed that the daily number of tweets, retweets, and mentions follow a power law with respect to the number of unique users that take part in the conversation.  ...  Acknowledgments This work has been supported by the Spanish Ministry of Economy and Competitiveness (MINECO) under Contract no. MTM2015-63914-P.  ... 
doi:10.1155/2018/2413481 fatcat:n567c2m7yber3pz6omre2l5k5u

Online Social Behavior in Twitter: A Literature Review

Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter, Jan Maarten Schraagen
2012 2012 IEEE 12th International Conference on Data Mining Workshops  
The goal is to identify the current challenges within this area of research, given the questions raised in society.  ...  In this review we pay attention to three aspects of social networks: actor, message, and network characteristics.  ...  Hence, the research question we address in this paper is: what is the current state-of-art in both describing and explaining online behavior within Twitter and, based on this, what future research do we  ... 
doi:10.1109/icdmw.2012.139 dblp:conf/icdm/AartsMOS12 fatcat:pj4dapmxqrg6pktsafgjvk4fjy

Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs [article]

Kristina Lerman, Rumi Ghosh, Tawan Surachawala
2013 arXiv   pre-print
Specifically, we extract follower graphs of active Digg and Twitter users and track how interest in news stories cascades through the graph.  ...  These data sets offer a rich source of evidence for studying dynamics of individual and group behavior, the structure of networks and global patterns of the flow of information on them.  ...  These dynamics are well characterized by a model of user behavior [14, 25] that takes into account visibility of stories through the Digg user interface and how interesting they are to users.  ... 
arXiv:1202.3162v2 fatcat:qjj733xjpvfkdkpigjlt47ilpe

Geo-located Twitter as proxy for global mobility patterns

Bartosz Hawelka, Izabela Sitko, Euro Beinat, Stanislav Sobolevsky, Pavlos Kazakopoulos, Carlo Ratti
2014 Cartography and Geographic Information Science  
Finally, we validate our result with the global tourism statistics and mobility models provided by other authors, and argue that Twitter is a viable source to understand and quantify global mobility patterns  ...  This paper analyses geo-located Twitter messages in order to uncover global patterns of human mobility.  ...  Audi Volkswagen, BBVA, The Coca Cola Company, Ericsson, Expo 2015, Ferrovial, GE, and all the members of the MIT Senseable City Lab Consortium for supporting the research.  ... 
doi:10.1080/15230406.2014.890072 pmid:27019645 pmcid:PMC4786829 fatcat:3h66nj3rxbgs5ksroffpl3udly

Extending Generative Models of Large Scale Networks

Corey Lofdahl, Eli Stickgold, Bruce Skarin, Ian Stewart
2015 Procedia Manufacturing  
Since the launch of Facebook in 2004 and Twitter in 2006, the amount of publicly available social network data has grown in both scale and complexity.  ...  Finally we discuss the potential implications for including homophily in models of social networks and information propagation.  ...  Emergent Network Properties Moving beyond low-level degree measures, we show that the homophily-dependent model yields emergent properties similar to ground-truth data.  ... 
doi:10.1016/j.promfg.2015.07.896 fatcat:k7jgkcj2rvfr7px7o32btqmogq

Unveiling cultures in emergency response communication networks on social media: following the 2016 Louisiana floods

Jungwon Yeo, Claire Connolly Knox, Kyujin Jung
2017 Quality & Quantity: International Journal of Methodology  
In particular, cultural similarity in both intra/inter group response communication was observed, with each communication group comprising actors who shared a common cultural background and spoke similar  ...  While culture in emergency management has gained attention from the field of risk communication, few have systemically dealt with the nuances of general culture involved in the formation and differentiation  ...  Figure 1 and Table 2 indicate that the communication network has the scale-free property: numerous small groups coexist with huge groups with exceptionally large number of Twitter users. 77.69% of users  ... 
doi:10.1007/s11135-017-0595-3 pmid:32214506 pmcid:PMC7089147 fatcat:vfrhwwzd2nfidgir4alkdme3tu

Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog

Jun Pan, Huizhang Shen, Zhong Chen
2017 Complexity  
Recently, online social networks including Weibo (Chinese Twitter) become more and more popular in China.  ...  And then, people may have better strategy to manage the diffusion of mass incidents.  ...  The key reason is that all these methods cover either topological property of user node or behavior property of user node.  ... 
doi:10.1155/2017/6416795 fatcat:g7zhwjdqznflniaiaipl6kfpti

Testing Propositions Derived from Twitter Studies: Generalization and Replication in Computational Social Science

Hai Liang, King-wa Fu, Zi-Ke Zhang
2015 PLoS ONE  
Second, it proposed a feasible approach to generating a random sample of Twitter users and its associated ego networks, which might serve as a solution for answering social-scientific questions at the  ...  The number of followers and followees for each user were obtained from the user profile API, therefore, are not constrained by the privacy setting for obtaining following relationships.  ...  We find a similar result that 50% following relationships occurred between users within one hour time difference.  ... 
doi:10.1371/journal.pone.0134270 pmid:26287530 pmcid:PMC4546006 fatcat:ncfac4z5ffcjpn5kyi5hlmwae4

Social Media Fingerprints of Unemployment

Alejandro Llorente, Manuel Garcia-Herranz, Manuel Cebrian, Esteban Moro, Yamir Moreno
2015 PLoS ONE  
Recent wide-spread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying human activity, mobility  ...  As a result, we provide a simple model able to produce accurate, easily interpretable reconstruction of regional unemployment incidence from their social-media digital fingerprints alone.  ...  critical reading of the manuscript.  ... 
doi:10.1371/journal.pone.0128692 pmid:26020628 pmcid:PMC4447438 fatcat:z33eqsavy5bfvmecvigxml4oz4

Semantic stability in social tagging streams

Claudia Wagner, Philipp Singer, Markus Strohmaier, Bernardo A. Huberman
2014 Proceedings of the 23rd international conference on World wide web - WWW '14  
and intrinsic properties of natural language.  ...  in a wide range of social tagging systems with distinct domains and properties and (iii) detecting potential causes for semantic stabilization, specifically imitation behavior, shared background knowledge  ...  William Webber for assistance with his RBO metric and Dr. Harry Halpin for assistance with his semantic stability measure. This work is in part funded by the FWF Austrian Science Fund Grant I677.  ... 
doi:10.1145/2566486.2567979 dblp:conf/www/WagnerSSH14 fatcat:3hyhkg4wr5hnhbbcrtyuhhmrve

Semantic Stability in Social Tagging Streams

Claudia Wagner, Philipp Singer, Markus Strohmaier, Bernardo A. Huberman
2013 Social Science Research Network  
and intrinsic properties of natural language.  ...  in a wide range of social tagging systems with distinct domains and properties and (iii) detecting potential causes for semantic stabilization, specifically imitation behavior, shared background knowledge  ...  William Webber for assistance with his RBO metric and Dr. Harry Halpin for assistance with his semantic stability measure. This work is in part funded by the FWF Austrian Science Fund Grant I677.  ... 
doi:10.2139/ssrn.2337823 fatcat:n6kfy34cfbgoro3vp7i4mscw4u

Online Social Network Analysis: A Survey of Research Applications in Computer Science [article]

David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
2016 arXiv   pre-print
The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behavior.  ...  All this information opens new perspectives and challenges to the study of social systems, being of interest to many fields.  ...  Acknowledgements The authors sincerely thank Romis Attux, Leonardo Maia and Fabrício Olivetti de França for their kind effort of revising this work and contributing with corrections and new insights.  ... 
arXiv:1504.05655v2 fatcat:cgtic45w2bdqpdg36u6hjwzdcy
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