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STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream

Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu Aggarwal, Jianbin Huang
2015 2015 IEEE 31st International Conference on Data Engineering  
To support aggregation with different space and time granularity, we propose a data structure called STREAMCUBE, which is an extension of the data cube structure from the database community with spatial  ...  Different efficient methods are used to speed up event similarity computations. Finally, we have conducted extensive experiments on a real twitter data.  ...  As shown in Figure 5b , the localness is defined in a similar way with burstiness. The difference is that we compare the popularity from different regions instead of different time frames. B.  ... 
doi:10.1109/icde.2015.7113425 dblp:conf/icde/FengZZHWAH15 fatcat:biidfnuxknh7vps7z3lmoq3voq

Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges

John Wilkerson, Andreu Casas
2017 Annual review of political science (Palo Alto, Calif. Print)  
Text has always been an important data source in political science. What has changed in recent years is the feasibility of investigating large amounts of text quantitatively.  ...  As a result, text-as-data research is becoming mainstream in political science.  ...  ACKNOWLEDGMENTS The authors thank Jeffrey Arnold, Noah Smith, Jason Chuang, and an anonymous reviewer for helpful feedback.  ... 
doi:10.1146/annurev-polisci-052615-025542 fatcat:37a7jihyw5h2bdalague5riki4

Finding Best Clustering For Big Networks with Minimum Objective Function by Using Probabilistic Tabu Search

Ali Falah Yaqoob, Basad Al-Sarray
2019 Iraqi Journal of Science  
Fuzzy C-means (FCM) is a clustering method used for collecting similar data elements within the group according to specific measurements. Tabu is a heuristic algorithm.  ...  In this paper, Probabilistic Tabu Search for FCM implemented to find a global clustering based on the minimum value of the Fuzzy objective function.  ...  Clustering is an unsupervised important technique used to search for structures in data.  ... 
doi:10.24996/ijs.2019.60.8.21 fatcat:vf37rdggofeifatq5dhgoe7jpe

When politeness processing encounters failed syntactic/semantic processing

Liyan Ji
2021 Acta Psychologica  
Furthermore, our results support the blocking hypothesis from a politeness processing perspective instead of the independent hypothesis.  ...  In this event-related brain potential study, we examined the interaction between politeness processing and local syntactic/semantic processing of a phrase.  ...  Acknowledgements We are grateful for support from the Natural Science Foundation of China (Grant Number: 31771207) and Peking University Research Original Funding (WHW20180). Thanks Dr.  ... 
doi:10.1016/j.actpsy.2021.103391 pmid:34412023 fatcat:3uclbs5it5hd5bq3mn4372kxgm

A Security Analysis of the Facebook Ad Library

Laura Edelson, Tobias Lauinger, Damon McCoy
2020 2020 IEEE Symposium on Security and Privacy (SP)  
Our clustering method identified 16 clusters of likely inauthentic communities that spent a total of over four million dollars on political advertising.  ...  We present a set of methodologies and perform a security analysis of Facebook's U.S. Ad Library, which is their political advertising transparency product.  ...  This work was funded by the NSF through grants 1717062 and 1814816, as well as by gifts from Democracy Fund and the Luminate Group. Our research lab has also received gifts from Google.  ... 
doi:10.1109/sp40000.2020.00084 dblp:conf/sp/EdelsonLM20 fatcat:iuobuxs7gfdb3etqehyl22hg5m

Using Scenario-Based Elicitation in Analysis of Uncertainty in a Transport Infrastructure Project

Pete Sykes, Margaret Bell, Dilum Dissanayake
2020 Transportation Research Procedia  
The findings from this case study were that executive leadership and collaboration between Local Authorities were the most influential determinants for progress, and that the prime causes of uncertainty  ...  The findings from this case study were that executive leadership and collaboration between Local Authorities were the most influential determinants for progress, and that the prime causes of uncertainty  ...  The task of generating that list must also be a part of the data gathering exercise as an analyst investigating the uncertainty in the project has to avoid imposing the constraints that would occur if  ... 
doi:10.1016/j.trpro.2020.02.070 fatcat:zudcnmopubcfvje7zv5reiq42i

Topic taxonomy adaptation for group profiling

Lei Tang, Huan Liu, Jianping Zhang, Nitin Agarwal, John J. Salerno
2008 ACM Transactions on Knowledge Discovery from Data  
We next formulate taxonomy adaptation as an optimization problem to find the taxonomy that best fits the data. We then present a viable algorithm that can efficiently accomplish taxonomy adaptation.  ...  ., ancestor and child nodes) and its horizonal list of attributes (or terms).  ...  Instead of "start-from-scratch" as of method 3, we propose to modify a given taxonomy gradually and generate a data-driven taxonomy, so as to achieve classification improvement for accurate dynamic group  ... 
doi:10.1145/1324172.1324173 fatcat:lacaurrk75c2vl2wrr36az3qqy

Extending the classification of nodes in social networks

Raymond Heatherly, Murat Kantarcioglu
2011 Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics  
We also show the effect of incorporating these important nodes in social network classification.  ...  Because of computational concerns, social network analysis generally uses only directly connected nodes to perform classification tasks.  ...  Of these 35,000, 55% list their affiliation as "Conservative" and 45% list their affiliation as "Libera\." IMDb data was pulled from all movies available on the site (as of September 2007).  ... 
doi:10.1109/isi.2011.5984054 dblp:conf/isi/HeatherlyK11 fatcat:w4xplz7lwzdtbojd7tcvewni3q

Automatic Discovery of Political Meme Genres with Diverse Appearances [article]

William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
2020 arXiv   pre-print
One example of this phenomenon is the image-based meme, which has emerged as a dominant form of political messaging in the past decade.  ...  While originally used to spread jokes on social media, memes are now having an outsized impact on public perception of world events.  ...  Special thanks is also in order to the undergraduate data annotators: Noah Yoshida, Michael Eisemann, and Sam Battalio.  ... 
arXiv:2001.06122v2 fatcat:sb3w55ovn5dvjaerhqbh3svxcu

Precolonial Political Centralization and Contemporary Development in Uganda

Sanghamitra Bandyopadhyay, Elliott Green
2016 Economic development and cultural change  
We also use an instrumental variable approach to con...rm this ...nding using the distance from ancient capital of Mubende as an instrument.  ...  In particular Gennaioli and Rainer (2007) suggest that pre-colonial political centralization has had an impact on contemporary levels of development within Africa at the country level.  ...  Thus we employ the log of distance from Mubende town as an instrument for pre-colonial political complexity.  ... 
doi:10.1086/685410 fatcat:vzltiwi3jrg5fp2r45qu6x54fu

Is There a Faction in This List?

Hilde De Weerdt, Brent Ho, Allon Wagner, Jiyan Qiao, Mingkin Chu
2020 Journal of Chinese History  
First, we aim to revisit debates about the structure of Song Dynasty faction lists and the relationship between eleventh- and twelfth century factional politics on the basis of a large-scale network analysis  ...  Second, we aim to innovate methodologically by developing a series of approaches to compare historical networks of different sizes with regard to overall network metrics as well as the significance of  ...  Instead of the widespread statistical methods of resampling or subsampling observed data, 92 the CBDB presents an opportunity to sample a parallel network based on predefined criteria.  ... 
doi:10.1017/jch.2020.16 fatcat:ctlsoh3dzjag7nm7apw4eqk37e

A 'Big Data' Approach to Mapping the Australian Twittersphere [chapter]

Axel Bruns, Jean Burgess, Tim Highfield
2014 Advancing Digital Humanities  
In the present case, for example, the visualisation of Twitter activity across the network map serves as a device to generate further research questions and challenges: once the different clusters have  ...  direct way of retrieving a list of all Australian users from the API, nor is there even reliable data about the full extent of the Australian Twittersphere -available industry estimates (which rarely  ... 
doi:10.1057/9781137337016_8 fatcat:t5ub36meqjbq5g5vtfwe7keflu

Understanding social media users via attributes and links

Mohammad Ali Abbasi
2015 ACM SIGWEB Newsletter  
With the rise of social media, hundreds of millions of people spend countless hours all over the globe on social media to connect, interact, share, and create user-generated data.  ...  This data can be used for different purposes such as, targeted advertisement, product recommendation, or even opinion mining. Social media sites use this information to better serve their users.  ...  LSocDim is an example of a local approach with global patterns.  ... 
doi:10.1145/2808000.2808003 fatcat:m5ptbhsw4zhx5bhn2zowlnivxy

TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data [article]

Daniel Archambault, Derek Greene, Pádraig Cunningham
2013 arXiv   pre-print
We subsequently introduce a new list equivalent for both of these techniques and present a number of case studies showing them in operation.  ...  In this paper, we present extended descriptions of ThemeCrowds and SentireCrowds, two tag-based visualization techniques for this data.  ...  Acknowledgements This research was supported by Science Foundation Ireland Grant 08/SRC/I1407 (Clique: Graph and Network Analysis Cluster).  ... 
arXiv:1306.3839v1 fatcat:p3jjroshyzgkpjohthcqdtaifq

Analyzing Refugee Migration Patterns Using Geo-tagged Tweets

Franziska Hübl, Sreten Cvetojevic, Hartwig Hochmair, Gernot Paulus
2017 ISPRS International Journal of Geo-Information  
The focus of this study is on exploratory data analysis, which includes refugee trajectory extraction and aggregation as well as the detection of topical clusters along migration routes using the V-Analytics  ...  Whereas trajectory extraction suffers from data scarcity, hashtag-based topical clustering draws a clearer picture about general refugee routes and is able to find geographic areas of high tweet activities  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi6100302 fatcat:vzdcdvhcn5a3rekth252aqu334
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