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Generating Pictorial Storylines Via Minimum-Weight Connected Dominating Set Approximation in Multi-View Graphs

Dingding Wang, Tao Li, Mitsunori Ogihara
This paper introduces a novel framework for generating pictorial storylines for given topics from text and image data on the Internet.  ...  A key idea in the framework is the use of an approximate solution for the dominating set problem.  ...  analysis methods which base on either image graphs or text graphs.  ... 
doi:10.1609/aaai.v26i1.8207 fatcat:zqd6njazfncbjd4p2seld3muum

Egocentric storylines for visual analysis of large dynamic graphs

Chris W. Muelder, Tarik Crnovrsanin, Arnaud Sallaberry, Kwan-Liu Ma
2013 2013 IEEE International Conference on Big Data  
This paper presents an egocentric, bottom-up method to exploring a large dynamic network using a storyline representation to summarise localized behavior of the network over time.  ...  Often analysts want to focus on a specific part of the data according to domain knowledge, which is best suited by a bottom-up approach.  ...  Department of Energy through the SciDAC program with Agreement No. DE-FC02-06ER25777 and DE-FC02-12ER26072.  ... 
doi:10.1109/bigdata.2013.6691715 dblp:conf/bigdataconf/MuelderCSM13 fatcat:j3vuhy7brjeozizgloc2ycbdcu

Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit [article]

Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North
2022 arXiv   pre-print
Our work has implications in the study of social movements, intelligence analysis, computational journalism, and misinformation research.  ...  Using our method, we study the 2021 Cuban protests and characterize five relevant communities. The extracted narratives differ in both structure and content across communities.  ...  analysis of the accepted narratives espoused by online communities surrounding the 2021 Cuban protests to showcase the application of our method.  ... 
arXiv:2208.04465v1 fatcat:jxmmlmhqp5b2tp32mh5pgwjp5e

Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty

Céline Guivarch, Robert Lempert, Evelina Trutnevyte
2017 Environmental Modelling & Software  
(2016) , in this TI, represent the MGA application to an open-source energy system optimization model called Temoa (Tools for Energy Model Optimization and Analysis).  ...  foci with an optimization-based method for choosing a small number of relevant scenarios that combine both vulnerability and diversity approaches.  ... 
doi:10.1016/j.envsoft.2017.07.017 fatcat:e5q2ecrsrzdz3e72uy3mpzv7ni

Unsupervised text mining methods for literature analysis: a case study for Thomas Pynchon's V

Christos Iraklis Tsatsoulis
2013 Orbit : Writing Around Pynchon  
Unsupervised text mining methods for literature analysis: a case study for Thomas Pynchon's V.  ...  work presented herein; and Markus Hofmann, for fruitful remarks on a late draft of this work.  ...  Acknowledgments We would like to thank Thanassis Paraskevas, for his assistance with some useful programming tips in Python; Martin Eve, for providing encouraging feedback to some early samples of the  ... 
doi:10.7766/orbit.v1.2.44 fatcat:7oioosyulza73cug7bu4cx7aau

Storylines: Visual exploration and analysis in latent semantic spaces

Weizhong Zhu, Chaomei Chen
2007 Computers & graphics  
In this article, we introduce the design and application of an integrated exploratory visualization system called Storylines.  ...  The contributions of the work include providing an intuitive and directly accessible representation of a latent semantic space derived from the text corpus, an integrated process for identifying salient  ...  The authors would like to thanks the VAST contest organizers for making the dataset available.  ... 
doi:10.1016/j.cag.2007.01.025 fatcat:muclyxvjjrburnujodl3cdzdda

A graph-theoretic approach to extract storylines from search results

Ravi Kumar, Uma Mahadevan, D. Sivakumar
2004 Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04  
The core algorithmic task involved is to mine for signature structures in a robust graph representation of the search results. We present a very fast algorithm for this task based on local search.  ...  Our framework is axiomatically developed and combinatorial in nature, based on generalizations of the maximum induced matching problem on bipartite graphs.  ...  Our proposal to use signature structures as the one outlined above may be viewed as an application of ideas from link analysis-specifically the work of Kumar et al.  ... 
doi:10.1145/1014052.1014078 dblp:conf/kdd/KumarMS04 fatcat:3wnxyoybqvbh3ieoftu7vqtzzm

Narrative Maps: An Algorithmic Approach to Represent and Extract Information Narratives [article]

Brian Keith, Tanushree Mitra
2020 arXiv   pre-print
Our approach extracts the underlying graph structure of the narrative map using a novel optimization technique focused on maximizing coherence while respecting structural and coverage constraints.  ...  We make three key contributions: a theory-driven computational representation of narratives, a novel extraction algorithm to obtain these representations from data, and an evaluation of our approach.  ...  ACKNOWLEDGMENTS We would like to thank the social computing lab at Virginia Tech and University of Washington for their valuable comments and feedback on early drafts of the paper.  ... 
arXiv:2009.04508v2 fatcat:2qoh6gsgg5g5fnjvz5ljnyrgva

DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media

Manu Shukla, Ray Dos Santos, Andrew Fong, Chang-Tien Lu
2016 Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management  
In this paper, we present DISTL, an event processing platform which takes as input a set of storylines (a sequence of entities and their relationships) and processes them as follows: (1) uses different  ...  Event analysis in social media is challenging due to endless amount of information generated daily.  ...  Rules Application As each of these rules are applied to a storyline for each event, if any rule is satisfied for a storyline against an event, the storyline is categorized under that event.  ... 
doi:10.5220/0005831200390050 dblp:conf/gistam/ShuklaSFL16 fatcat:6jya4xqhvfewnkswq6jwpt7i2y

SVEN: Informative Visual Representation of Complex Dynamic Structure [article]

Dustin L. Arendt, Leslie M. Blaha
2014 arXiv   pre-print
However, both of these classical techniques have significant drawbacks, so a new approach, Storyline Visualization of Events on a Network (SVEN) is proposed.  ...  SVEN encodes time in a natural manner, along the horizontal axis, and optimizes the vertical placement of storylines to decrease clutter (line crossings, straightness, and bends) in the drawing.  ...  Acknowledgements The authors would like to thank Paul Havig at AFRL for his guidance and helpful comments throughout the project.  ... 
arXiv:1412.6706v1 fatcat:agdo5nq7h5cfdfud46cs54bty4

Visual storylines: Semantic visualization of movie sequence

Tao Chen, Aidong Lu, Shi-Min Hu
2012 Computers & graphics  
This is achieved with a series of video analysis, image synthesis, relationship quantification and geometric layout optimization techniques.  ...  A new type of video visualization, Visual Storylines, is designed to summarize video storylines in an image composition while preserving the style of the original videos.  ...  Specifically, we first present an automatic video analysis method to extract possible video storylines by clustering video shots according to both visual and audio data.  ... 
doi:10.1016/j.cag.2012.02.010 fatcat:qe3ed3v6cvfypi4afweuy26loq

Generating event storylines from microblogs

Chen Lin, Chun Lin, Jingxuan Li, Dingding Wang, Yang Chen, Tao Li
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
Given a query of an ongoing event, we propose to sketch the real-time storyline of the event by a two-level solution.  ...  Comprehensive experiments on Twitter data sets demonstrate the effectiveness of the proposed methods in each level and the overall framework.  ...  We refer this problem as Generating Event Storyline from Microblogs (GESM). For example, Figure 1 presents the storyline based on an event query of "Egypt Revolution".  ... 
doi:10.1145/2396761.2396787 dblp:conf/cikm/LinLLWCL12 fatcat:7w2rmpvdpbgevfe27um7i25yyu

AI-Empowered Persuasive Video Generation: A Survey [article]

Chang Liu, Han Yu
2021 arXiv   pre-print
In order to produce such contents to support a large applications (e.g., e-commerce), the field of artificial intelligence (AI)-empowered persuasive video generation (AIPVG) has gained traction in recent  ...  This field is interdisciplinary in nature, which makes it challenging for new researchers to grasp. Currently, there is no comprehensive survey of AIPVG available.  ...  Then, for each time segment, a content-based clustering algorithm is used to generate clusters of VMs. The top 𝐾 clusters are selected as the candidate VMs for generating the storyline.  ... 
arXiv:2112.09401v1 fatcat:t5bsqo6shbcoleryphaawewevy

Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project [article]

Guntis Barzdins, Steve Renals, Didzis Gosko
2016 arXiv   pre-print
Storyline clustering of stories covering the same events is an essential task for inquisitorial media monitoring.  ...  The results of this paper describe a novel approach to the automatic story segmentation and storyline clustering problem.  ...  This is an order of magnitude slower than regular NEL or IF IDF bagof-words based clustering methods.  ... 
arXiv:1604.01221v1 fatcat:xagrbwtcozdgdjfks4ikrvq5ry

Nonparametric Bayesian Storyline Detection from Microtexts [article]

Vinodh Krishnan, Jacob Eisenstein
2016 arXiv   pre-print
News events and social media are composed of evolving storylines, which capture public attention for a limited period of time.  ...  We evaluate on the TREC Twitter Timeline Generation (TTG), obtaining encouraging results: despite using a weak baseline retrieval model, the dd-CRP story clustering method is competitive with the best  ...  This research was supported by an award from the National Institutes for Health (R01GM112697-01), and by Google, through a Focused Research Award for Computational Journalism.  ... 
arXiv:1601.04580v2 fatcat:bdoucrzahncijpbb3w5t2usjbq
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