How long is a tweet? Mapping dynamic conversation networks on Twitter using Gawk and Gephi

Twitter is now well established as the world’s second most important social media platform, after Facebook. Its 140-character updates are designed for brief messaging, and its network structures are kept relatively flat and simple: messages from users are either public and visible to all (even to unregistered visitors using the Twitter website), or private and visible only to approved ‘followers’ of the sender; there are no more complex definitions of degrees of connection (family, friends, friends of friends) as they are available in other social networks. Over time, Twitter users have developed simple, but effective mechanisms for working around these limitations: ‘#hashtags’, which enable the manual or automatic collation of all tweets containing the same #hashtag, as well allowing users to subscribe to content feeds that contain only those tweets which feature specific #hashtags; and ‘@replies’, which allow senders to direct public messages even to users whom they do not already follow. This paper documents a methodology for extracting public Twitter activity data around specific #hashtags, and for processing these data in order to analyse and visualize the @reply networks existing between participating users – both overall, as a static network, and over time, to highlight the dynamic structure of @reply conversations. Such visualizations enable us to highlight the shifting roles played by individual participants, as well as the response of the overall #hashtag community to new stimuli – such as the entry of new participants or the availability of new information. Over longer timeframes, it is also possible to identify different phases in the overall discussion, or the formation of distinct clusters of preferentially interacting participants.

Sale of men's seats for 3 years

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Opinion of Whitehead Hicks regarding distribution of synagogue seats

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Book listing seats leased in synagogue

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Fragment of resolution regarding sale of seats

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Conditions and terms of leasing seats

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Is it tweet-worthy? Privacy in a time of sharing.

Information professionals and information organisations use Twitter in a variety of ways. Typically both organisations and the individuals that work for them have separate identities on Twitter, but often individuals identify their organization through their profile or Twitter content. This paper considers the way information professionals use Twitter and their practices with regard to privacy, personal disclosure and identifying their organisational affiliations. Drawing on data from a research study involving a questionnaire and social media observation, the paper will provoke discussion about information professionals’ use of Twitter, personal and organizational identity, and the value of Twitter for professional development. In keeping with the subject matter, a curated set of social media content will be available in lieu of a formal paper.

Ghost seats in the Basque Parliament

In elections voters have generally four options: to abstain, to cast a blank vote, to cast a null vote, or to vote for a candidate or party. This last option is a positive expression of support, while the other three options reflect lack of interest, or dissatisfaction with the parties or the political system. However only votes for parties or candidates are taken into account in the apportionment method. In particular the number of seats allocated to parties remains constant even if the number of non votes (i.e. blank votes, null votes or abstention) is very large. This paper proposes to treat the non votes as a party in the apportionment method and to leave empty the corresponding seats. These empty seats are referred to as "ghost seats". How this would affect the decision-making is quantified in terms of power indices. We apply this proposal to a case study:the regional Parliament of the Basque Autonomous Community (Spain) from 1980 till 2012.

Do monkeys tweet?

Con texto sencillo acerca de las características de algunos animales y de sus sonidos, presenta una serie de preguntas y respuestas. La última pregunta, si los búhos ululan en medio de la noche, puede ser la única vez en que la respuesta fuera afirmativa.

Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ”#GE2015”, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

X-13arima-seats com R: um estudo de caso para a produção industrial brasileira

Esse artigo apresenta o uso do programa de ajuste sazonal X-13ARIMA-SEATS desenvolvido e mantido por US Census Bureau. O programa é mundialmente utilizado por órgãos de estatística e, em alguns lugares, ainda em sua versão anterior. O ajuste sazonal é implementado no software R e aplicado na série temporal do índice de produção industrial geral do Brasil. As ferramentas disponíveis pelo programa permitiram aprimorar o ajuste automático e diagnosticá-lo de forma adequada. Apresenta-se também uma rotina para executar o ajuste sazonal em mais de uma série simultaneamente, uma vez que, geralmente, as instituições que realizam tal procedimento, não o fazem para apenas uma série temporal.

Shear bond strength fatigue limit of rest seats made with dental restoratives

Purpose: This study compared the shear bond strength (SBS) to enamel of rest seats made with a glass-ionomer cement (Fuji IX GP Fast), a resin-modified glass-ionomer cement (Fuji II LC), and a composite resin (Z100 MP) under monotonic and cyclic loading. Materials and Methods: Rest seats were built up onto the lingual surfaces of 80 intact human mandibular incisors. Specimens (n=10) were stored in distilled water at 37°C for 30 days and subjected to shear forces in a universal testing machine (0.5 mm/min) until fracture. The SBS values were calculated (MPa) using the bonding area (9.62 mm2) delimited by adhesive tags. A staircase approach was used to determine the SBS fatigue limit of each material. Specimens were submitted to either 10,000 cycles (5 Hz) or until specimen fracture. A minimum of 15 specimens was tested for each material. Scanning electron microscopy was used to examine the mode of failure. Data were statistically analyzed with one-way ANOVA and Tukey HSD tests (α = 0.05). Results: Z100 MP yielded higher (p < 0.05) SBS (12.25 MPa) than Fuji IX GP Fast (7.21 MPa). No differences were found between Fuji II LC (10.29 MPa) and the other two materials (p > 0.05). Fuji II LC (6.54 MPa) and Z100 MP (6.26 MPa) had a similar SBS limit. Fuji IX GP Fast promoted the lowest (p < 0.05) SBS fatigue limit (2.33 MPa). All samples showed cohesive failure patterns. Conclusion: Fatigue testing can provide a better means of estimating the performance of rest seats made with dental restoratives.

Elementos teóricos del ajuste estacional de series económicas utilizando X-12-ARIMA y TRAMO-SEATS

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