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Temporal Patterns in Bot Activities

Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
In this paper, we perform temporal pattern mining on bot activities in Twitter.  ...  We discover motifs (repeating behavior), discords (anomalous behavior), joins, bursts and dynamic clusters in activities of Twitter bots, and explain the significance of these temporal patterns in gaining  ...  TEMPORAL PATTERNS We apply five temporal pattern mining algorithms on the bot activity series and describe several successful cases in this section.  ... 
doi:10.1145/3041021.3051114 dblp:conf/www/ChavoshiHM17a fatcat:eaasl37dkfadfmbycvb73r5u2a

Analyzing time series activity of Twitter political spambots [article]

Oscar Fontanelli, Aldo Venegas, Ricardo Mansilla
2021 arXiv   pre-print
We intended to provide an answer to the following question: are temporal patterns of activity qualitatively different in fake and human accounts?  ...  The presence and complexity of political Twitter bots has increased in recent years, making it a very difficult task to recognize these accounts from real, human users.  ...  Identifying correlated bots in twitter. In International conference on social informatics, pages 14-21. Springer, 2016. [6] N. Chavoshi, H. Hamooni, and A. Mueen. Temporal patterns in bot activities.  ... 
arXiv:2105.12734v1 fatcat:x3i7iu7vnzcaphe5d4b3jplrt4

A graph-theoretic framework for isolating botnets in a network

Padmini Jaikumar, Avinash C. Kak
2012 Security and Communication Networks  
As practically all aspects of how a botnet manifests itself in a network-such as the online bot population, bot lifetimes, and the duration and the choice of malicious activities ordered by the bot master-can  ...  Our approach depends primarily on the temporal co-occurrences of malicious activities across the computers in a network and is independent of botnet architectures and the means used for their command and  ...  The communication patterns associated with bots reflect their ability to engage in coordinated malicious activities.  ... 
doi:10.1002/sec.500 fatcat:bvuq4iymcvembarcbyaburmtam

RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter [article]

Michele Mazza, Stefano Cresci, Marco Avvenuti, Walter Quattrociocchi, Maurizio Tesconi
2019 arXiv   pre-print
In this way, we uncover a 'normal' retweeting pattern that is peculiar of human-operated accounts, and 3 suspicious patterns related to bot activities.  ...  We design a novel visualization that we leverage to highlight benign and malicious patterns of retweeting activity.  ...  Then, it compares the temporal patterns of retweeting activity of large groups of users.  ... 
arXiv:1902.04506v1 fatcat:iso37uvpsbcadm64kdqjn2wvru

Down the bot hole: actionable insights from a 1-year analysis of bots activity on Twitter [article]

Luca Luceri, Felipe Cardoso, Silvia Giordano
2020 arXiv   pre-print
In this paper, we present a long term (one year) analysis of bots activity on Twitter in the run-up to the 2018 U.S. Midterm Elections.  ...  Uncovering the strategies behind bots' activities is of paramount importance to detect and curb such campaigns.  ...  Interestingly, also in the disentangled sharing activities, bots followed a similar temporal pattern of human users over the whole year.  ... 
arXiv:2010.15820v1 fatcat:w3rajmxcnncfnkq45pycyokj5u

Effects of pentobarbital on respiratory functional dynamics in chronically instrumented guinea pigs

Fat-Chun T. Chang
1991 Brain Research Bulletin  
Leslie Metker pearance. bulbar respiratory-related unit activity patterns can un-and Delores Tucker for their excellent assistance in surgery, recording, dergo considerable changes in response to a variety  ...  In conducting the reification, phonation. sleep and wakefulness cycle, etc.).  ...  Figure 3 is an epoch-to-epoch summary of activities were made. changes in the temporal attributes of BOT and NpA unit activities throughout the course of anesthesia.  ... 
doi:10.1016/0361-9230(91)90196-q pmid:1901751 fatcat:itajqxfgqvclvlqc26ngounsce

Broker Bots: Analyzing automated activity during High Impact Events on Twitter [article]

Sudip Mittal, Ponnurangam Kumaraguru
2014 arXiv   pre-print
Lastly, we also go through an in-depth analysis of Twitter bots who were active during 2013 Boston Marathon Blast.  ...  Using standard machine learning, we proposed a methodology to identify bots/non bots in real time during high impact events.  ...  Temporal tweeting patterns: Bots are more active during specific days of the week. Figure 4 . 4 16 : @tipdoge interacting with a user. and the bot returns the weather conditions in that place.  ... 
arXiv:1406.4286v1 fatcat:vcozzt5qezgplpqf4zy4z3tedi

The rise of social bots

Emilio Ferrara, Onur Varol, Clayton Davis, Filippo Menczer, Alessandro Flammini
2016 Communications of the ACM  
Features related to content, network, sentiment, and temporal patterns of activity are imitated by bots but at the same time can help discriminate synthetic behaviors from human ones, yielding signatures  ...  These social bots interact, often unnoticed, with real people in social media ecosystems, but their abundance is uncertain.  ...  temporal patterns.  ... 
doi:10.1145/2818717 fatcat:mmucjrnaivh7xjfxk2v4fj66hq

Towards autonomous behavior learning of non-player characters in games

Shu Feng, Ah-Hwee Tan
2016 Expert systems with applications  
Non-Player-Characters (NPCs), as found in computer games, can be modelled as intelligent systems, which serve to improve the interactivity and playability of the games.  ...  The DSL and MML strategies have been applied to creating autonomous non-player characters (NPCs) in a first person shooting game named Unreal Tournament.  ...  patterns in real time.  ... 
doi:10.1016/j.eswa.2016.02.043 fatcat:vfsatkxgdfcv7is3gb4kgatydm

Statistical Characterization of the Botnets C&C Traffic

Pedro Correia, Eduardo Rocha, António Nogueira, Paulo Salvador
2012 Procedia Technology - Elsevier  
This work will mainly use the last two approaches to characterize (i) the traffic generated by each bot when communicating with the C&C server(s) and (ii) identify and analyze the main patterns of the  ...  In addition, they should use all available information (from network probes, servers, routing elements, traffic statistics, identification of illicit applications), correlating it in the most useful way  ...  Acknowledgments This research was supported in part by Fundação para a Ciência e a Tecnologia under the research projects PTDC/EEA-TEL/101880/2008 and PEst-OE/EEI/LA0008/2011.  ... 
doi:10.1016/j.protcy.2012.02.030 fatcat:j2tyk6h6fzdevdeu23ulgxqfte

Co-evolution of active sensing and locomotion gaits of simulated snake-like robot

Ivan Tanev, Katsunori Shimohara
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
snake-like robot (Snakebot) that result in a fast speed of locomotion in a confined environment.  ...  We propose an approach of automated co-evolution of the optimal values of attributes of active sensing (orientation, range and timing of activation of sensors) and the control of locomotion gaits of simulated  ...  The main parameters of the GP, used to evolve the temporal patterns of control sequences of actuators, are summarized in Table 1 .  ... 
doi:10.1145/1389095.1389135 dblp:conf/gecco/TanevS08 fatcat:kadp2opn4ndjpnpbeznqtbdzya

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

Andrej Duh, Marjan Slak Rupnik, Dean Korošak
2018 Big Data  
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.  ...  Collective behaviour of populations of social bots has not been yet widely studied, though understanding of collective patterns arising from interactions between bots would aid social bot detection.  ...  In There are no obvious patterns visible in these spike trains. We can find highly active users as well as completely silent ones in these samples.  ... 
doi:10.1089/big.2017.0041 pmid:29924648 fatcat:zus73mwypvgjrjtvknssmabnay

Evolution of Active Sensing for Wall-Following Navigation of Snake-Like Robot

Ivan TANEV, Katsunori SHIMOHARA
2009 SICE Journal of Control Measurement and System Integration  
simulated snake-like robot (Snakebot) that result in a fast speed of locomotion in a confined environment.  ...  We propose an approach of automated co-evolution of the optimal values of attributes of active sensing (orientation, range and timing of activation of sensors) and the control of locomotion gaits of a  ...  The main parameters of the GP, used to evolve the temporal patterns of control sequences of actuators, are summarized in Table 1 .  ... 
doi:10.9746/jcmsi.2.222 fatcat:7m657jzup5gyfla3nur34f7msu

Visual code annotations for cyberphysical programming

Ben Swift, Andrew Sorensen, Henry Gardner, John Hosking
2013 2013 1st International Workshop on Live Programming (LIVE)  
This paper focuses on the real-time programming activity of 'cyberphysical' programming, and considers the type of visual annotations which may be helpful in this programming context. 978-1-4673-6265-8  ...  User interfaces for source code editing are a crucial component in any software development environment, and in many editors visual annotations (overlaid on the textual source code) are used to provide  ...  This is more than just a latency issue, though, they can also provide the programmer with information about the temporal patterns of activation in the code-not just what is getting executed and with what  ... 
doi:10.1109/live.2013.6617345 dblp:conf/icse/SwiftSGH13 fatcat:byfdjbkovjh3hbtqtad3cr2x2q

Discovering patterns of online popularity from time series [article]

Mert Ozer, Anna Sapienza, Andrés Abeliuk, Goran Muric, Emilio Ferrara
2019 arXiv   pre-print
By clustering the multidimensional time-series of the popularity of contents coupled with other domain-specific dimensions, we uncover two main patterns of popularity: bursty and steady temporal behaviors  ...  Is being successful strictly related to rapidly becoming viral in an online platform or is it possible to acquire popularity in a steady and disciplined fashion?  ...  Cluster-B2 temporal pattern shows not only a decreasing trend in popularity but also a faster decay in both sentiment and bot ratios then the one we observe in cluster-B1.  ... 
arXiv:1904.04994v1 fatcat:unr3dklp7rdz7ltqh4yrtvv3ry
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