1,721,077 research outputs found
sj-xlsx-2-sms-10.1177_20563051211035357 – Supplemental material for Beyond Clicktivism: What Makes Digitally Native Activism Effective? An Exploration of the Sleeping Giants Movement
No full textSupplemental material, sj-xlsx-2-sms-10.1177_20563051211035357 for Beyond Clicktivism: What Makes Digitally Native Activism Effective? An Exploration of the Sleeping Giants Movement by Yevgeniya Li, Jean-Grégoire Bernard and Markus Luczak-Roesch in Social Media + Society</p
sj-docx-1-sms-10.1177_20563051211035357 – Supplemental material for Beyond Clicktivism: What Makes Digitally Native Activism Effective? An Exploration of the Sleeping Giants Movement
No full textSupplemental material, sj-docx-1-sms-10.1177_20563051211035357 for Beyond Clicktivism: What Makes Digitally Native Activism Effective? An Exploration of the Sleeping Giants Movement by Yevgeniya Li, Jean-Grégoire Bernard and Markus Luczak-Roesch in Social Media + Society</p
Supplemental Material - Tracing the evolution of personality cognition in early human civilisations: A computational analysis of the Gilgamesh epic
No full textSupplemental Material for Tracing the evolution of personality cognition in early human civilisations: A computational analysis of the Gilgamesh epic by Ronald Fischer, Johannes A. Karl, Velichko Fetvadjiev, Markus Luczak-Roesch, Reinhard Pirngruber, and Amy He Du in European Journal of Personality</p
Online Demo of a Computational Tool for Distant and Close Reading of English Literature
No full text<p>This is the first stable tool release that refers to the online demonstration hosted at https://stia.shinyapps.io/tlit/</p>
<p>The system, which is using the Transcendental Information Cascades (TIC) approach to generate a temporal network representation of a text or text corpus, allows to track co-occurrence of characters in English novels (the demo involves four novels authored by Charles Dickens). The approach can be adapted to create TIC networks using generic bigram and trigram phrase matching for example or matching other kinds of entities (e.g. places), which will work on any text that can be found on Project Gutenberg.</p>
<p>Transcendental Information Cascades are a model based grounded on the assumption that there are meaningful relationships to be found in coincidence.</p>
<p>References:</p>
<p><em>Adam Grener, Markus Luczak-Roesch, Emma Fenton, & Tom Goldfinch. (2017). Towards a Computational Literary Science: A Computational Approach to Dickens’ Dynamic Character Networks. Zenodo, https://doi.org/10.5281/zenodo.259499.</em></p>
<p><em>Luczak-Rösch, Markus, Tinati, Ramine and Shadbolt, Nigel (2015) When resources collide: towards a theory of coincidence in information spaces. In, WWW 2015 Companion, Florence, IT, 6pp. (doi:10.1145/2740908.2743973).</em></p>
<p>Luczak-Roesch, M., Tinati, R., Van Kleek, M. and Shadbolt, N., 2015, August. From coincidence to purposeful flow? properties of transcendental information cascades. In <em>2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)</em> (pp. 633-638). IEEE.</p>
From Dickens to Data Science - Making the Case for Transcendental Information Cascades
No full textIn this talk I introduce Transcendental Information Cascades, a method to understand the temporal dynamics of naturally occurring complex systems through the lens of a specific kind of spatio-temporal network that represents information token recurrence. The method suits very well for exploratory data analysis when it is unknown what is going on at the very low levels of a system's dynamics, and allows switching between looking at individual events or accumulated event sequences. I will present one application of this method in a digital humanities project where we analysed the entire corpus of Charles Dickens's novels and discuss the potential it has for other application areas such as the analysis of brain wave recordings, patent mining or the study of online communities for example.These are the slides of a talk at the RWTH Aachen University, Chair for Computational Social Sciences and Humanities (Germany, date of the talk 06-03-2018
Complexity beyond pure reason? Emergence through the lens of coincidence
No full textIn this talk I will introduce Transcendental Information Cascades, a method to understand the temporal dynamics of naturally occurring complex systems. The distinctive feature of the approach is that it relies on a specific kind of spatio-temporal network that represents information token recurrence and coincidence. Transcendental Information Cascades make formerly hidden dimensions of sequential data accessible and throw up novel questions about chaos and randomness. I will present various applications of the method in different domains such as the analysis of digital traces in online communities, English literature, and micro-linguistics.
Background:
Luczak-Roesch, M., Tinati, R., Van Kleek, M. and Shadbolt, N., 2015, August. From coincidence to purposeful flow? properties of transcendental information cascades. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 (pp. 633-638). ACM.
Luczak-Roesch, M., Matters of coincidence or the collective digital unconscious?. https://sciblogs.co.nz/infrequently-asked-questions/2017/08/18/social-networks-coincidence-collective-unconscious/These are the slides of an invited talk at the School of Computer and Communication Sciences at EPFL (Switzerland, date of the talk 02-03-2018, https://memento.epfl.ch/event/complexity-beyond-pure-reason-emergence-through--2/)
Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus.
No full textProfiling the genetic evolution and dynamic spreading of viruses is a crucial task when responding to epidemic outbreaks. We aim to devise novel ways to model, visualise and analyse the temporal dynamics of epidemic outbreaks in order to help researchers and other people involved in crisis response to make well-informed and targeted decisions about from which geographical locations and time periods more genetic samples may be required to fully understand the outbreak. Our approach relies on the application of Transcendental Information Cascades to a set of temporally ordered nucleotide sequences and we apply it to real-world data that was collected during the currently ongoing outbreak of the novel 2019-nCoV coronavirus. We assess information-theoretic and network-theoretic measures that characterise the resulting complex network and suggest touching points and temporal pathways that are of interest for deeper investigation by geneticists and epidemiologists
When Coincidence has Meaning: Understanding Emergence Through Networks of Information Token Recurrence
No full textIn this paper I conceptualise a novel approach for capturing coincidences
between events that have not necessarily an observed causal relationship.
Building on the Transcendental Information Cascades approach I outline a tensor
theory of the interaction between rare micro-level events and macro-level
system changes. Afterwards, I discuss a number of application areas that are
promising candidates for the validation of the theoretical assumptions outlined
here in practice. This is preliminary work that is sought to lay the foundation
to discover universal mathematical properties of coincidences that have a
measurable impact on the macroscopic state of a complex system and are
therefore to be considered meaningful
TICJ: An Application to Generate Transcendental Information Cascades
No full text<p>Transcendental Information Cascades are a model based grounded on the assumption that there are meaningful relationships to be found in coincidence. With this research seeks to lay out foundations for a general theory of coincidence in information spaces, expanding on existing work on bursty structures in document streams and information cascades. Transcendental Information Cascades suit to represent the complexity of an information system by means of a static network that incorporates time and enable a novel way to quantify information diversity and information specificity. This has been proven useful to capture communication patterns in citizen science as well as hidden temporal structures in Wikipedia edit activity. Recent debates about our increasingly selective view to information - a result of content personalisation in search results and social network timelines due to the commercial interest of the social network providers - are a strong motivation for this kind of data analyses and information retrieval systems, which aim at avoiding the amplification of biases that lie in digital social structures (e.g. gender imbalances but also deliberate spread of misinformation).</p>
<p>References:</p>
<p><em>Luczak-Rösch, Markus, Tinati, Ramine and Shadbolt, Nigel (2015) When resources collide: towards a theory of coincidence in information spaces. In, WWW 2015 Companion, Florence, IT, 6pp. (doi:10.1145/2740908.2743973).</em></p>
<p>Luczak-Roesch, M., Tinati, R., Van Kleek, M. and Shadbolt, N., 2015, August. From coincidence to purposeful flow? properties of transcendental information cascades. In <em>2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)</em> (pp. 633-638). IEEE.</p>
Student Perspectives on Complexity
No full textStudents on the course INFO411 - Topics in Complexity Science (https://www.wgtn.ac.nz/courses/INFO/411) at Victoria University of Wellington in New Zealand produce a final report about a small research project they undertook under supervision. This is the collection of student works
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