When resources collide: Towards a theory of coincidence in information spaces

This paper is an attempt to lay out foundations for a general theory of coincidence in information spaces such as the World Wide Web, expanding on existing work on bursty structures in document streams and information cascades. We elaborate on the hypothesis that every resource that is published in an information space, enters a temporary interaction with another resource once a unique explicit or implicit reference between the two is found. This thought is motivated by Erwin Shroedingers notion of entanglement between quantum systems. We present a generic information cascade model that exploits only the temporal order of information sharing activities, combined with inherent properties of the shared information resources. The approach was applied to data from the world's largest online citizen science platform Zooniverse and we report about findings of this case study

Networks and Language in the 2010 Election

The midterm (2010) election in the U.S. presented a unique opportunity to study the online social media strategy of various political groups. Although candidates had previously leveraged social media, the prevalence of use during this election allows us to study a significant percentage of candidates and a novel glimpse into their networks and messaging. In combination, the networks and associated content reflect positioning of candidates both structurally and in framing in relation to other politicians. In our work, we study the use of Twitter by House, Senate and gubernatorial candidates during the midterm elections in the U.S. Our data includes almost 700 candidates and over 460k tweets that they produced in the 3.5 years leading to the elections. We utilize graph and text mining techniques to analyze differences between Democrats, Republicans and Tea Party candidates, and suggest a novel use of language modeling for estimating content cohesiveness. Our findings show significant differences in the usage patterns of social media, and suggest conservative candidates used this medium more effectively, conveying a coherent message and maintaining a dense graph of connections. Despite the lack of party leadership, we find Tea Party members display both structural and language‐based cohesiveness. Finally, we investigate the relation between network structure, content and election results by creating a proof‐of‐concept model that extends incumbency models to predict candidate victory

Analisis Ekonomi Usahatani Bawang Merah Varietas Tuk-Tuk Di Desa Fatuketi Kecamatan Kakuluk Mesak Kabupaten Belu

This research has been conducted at Fatuketi Village Kakuluk Mesak Subdistrict Belu District. The purpose of this research weretoknow (1) the amount revenue and income of red onion variety Tuk-Tuk, (2) the relative profit, (3) the break event point (BEP), and (4) the primary data was collected by interviewing respondent using questionnaires. Data collected was analysis descriptively, followed by revenue analysis, income, R/C ratio, BEP and capital efficiency analysis The results of research showed that the average income per hectare of Tuk-Tuk variety onion at research location was Rp.415.542.737with an average revenue per hectare wasRp.454.062.500 and average was cost per hectare wasRp.38.518.763. The break event point of productionwas 6.136,49 kgperhectare andthe break event point ofprice was Rp.1.473, while theR/C ratio value was 9,60and from the capital efficiency analysis result (85%) it was found thad the onion farming was capital intensive Penelitian ini dilakukan di Desa Fatuketi Kecamatan Kakuluk Mesak Kabupaten Belu. Penelitian ini bertujuan untuk mengetahui (1)besarnya penerimaan dan pendapatan,(2)keuntungan relatif , (3)besar break event point (BEP) dan (4)efisiensi penggunaan modal usahatani bawang merah varietas tuk-tuk. Data primer dikumpulkan melalui wawancara didapat dari responden menggunakan kuisioner, data yang terkumpul dianalisis secara deskriptif diikuti oleh analisis penerimaan, pendapatan, R/C rasio, BEP dan analisis efisiensi modal. Hasil penelitian menunjukkan bahwa rata-rata pendapatan perhektar usahatani bawang merah varietas tuk-tuk di lokasi penelitian sebesar Rp.415.542.737 dengan rata-rata penerimaan perhektar sebesar Rp.454.062.500 dan rata-rata biaya perhektar Rp.38.518.763.Break event point produksi sebanyak 6.136,49 kilogram perhektar dan break event point harga sebesar Rp.1.473, sedangkan untuk nilai R/C ratio sebesar 9,60 perhektar dan penggunaan modal produksi usahatani adalah sebesar 85% yang artinya bahwa penggunaan modal pada usahatani bawang merah tuk-tuk di lokasi penelitian bersifatCapital intensive

Fluctuations of company yearly profits versus scaled revenue: Fat tail distribution of Levy type

We analyze annual revenues and earnings data for the 500 largest-revenue U.S. companies during the period 1954-2007. We find that mean year profits are proportional to mean year revenues, exception made for few anomalous years, from which we postulate a linear relation between company expected mean profit and revenue. Mean annual revenues are used to scale both company profits and revenues. Annual profit fluctuations are obtained as difference between actual annual profit and its expected mean value, scaled by a power of the revenue to get a stationary behavior as a function of revenue. We find that profit fluctuations are broadly distributed having approximate power-law tails with a Levy-type exponent $\alpha \simeq 1.7$, from which we derive the associated break-even probability distribution. The predictions are compared with empirical data.Comment: 6 pages, 6 figure

Genome-wide analysis of human global and transcription-coupled excision repair of UV damage at single-nucleotide resolution

We developed a method for genome-wide mapping of DNA excision repair named XR-seq (excision repair sequencing). Human nucleotide excision repair generates two incisions surrounding the site of damage, creating an ∼30-mer. In XR-seq, this fragment is isolated and subjected to high-throughput sequencing. We used XR-seq to produce stranded, nucleotide-resolution maps of repair of two UV-induced DNA damages in human cells: cyclobutane pyrimidine dimers (CPDs) and (6-4) pyrimidine–pyrimidone photoproducts [(6-4)PPs]. In wild-type cells, CPD repair was highly associated with transcription, specifically with the template strand. Experiments in cells defective in either transcription-coupled excision repair or general excision repair isolated the contribution of each pathway to the overall repair pattern and showed that transcription-coupled repair of both photoproducts occurs exclusively on the template strand. XR-seq maps capture transcription-coupled repair at sites of divergent gene promoters and bidirectional enhancer RNA (eRNA) production at enhancers. XR-seq data also uncovered the repair characteristics and novel sequence preferences of CPDs and (6-4)PPs. XR-seq and the resulting repair maps will facilitate studies of the effects of genomic location, chromatin context, transcription, and replication on DNA repair in human cells

Epidemic processes in complex networks

In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and sociotechnical systems. The complex properties of real-world networks have a profound impact on the behavior of equilibrium and nonequilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, mathematicians, epidemiologists, computer, and social scientists share a common interest in studying epidemic spreading and rely on similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while focusing on the main results and the paradigmatic models in infectious disease modeling, the major results concerning generalized social contagion processes are also presented. Finally, the research activity at the forefront in the study of epidemic spreading in coevolving, coupled, and time-varying networks is reported.Comment: 62 pages, 15 figures, final versio

Inheritance patterns in citation networks reveal scientific memes

Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and we validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters.Comment: 8 two-column pages, 5 figures; accepted for publication in Physical Review

Mind the Cultural Gap: Bridging Language-Specific DBpedia Chapters for Question Answering

International audienceIn order to publish information extracted from language specific pages of Wikipedia in a structured way, the Semantic Web community has started an effort of internationalization of DBpedia. Language specific DBpedia chapters can contain very different information from one language to another, in particular they provide more details on certain topics, or fill information gaps. Language specific DBpedia chapters are well connected through instance interlinking, extracted from Wikipedia. An alignment between properties is also carried out by DBpedia contributors as a mapping from the terms in Wikipedia to a common ontology, enabling the exploitation of information coming from language specific DBpedia chapters. However, the mapping process is currently incomplete, it is time-consuming as it is performed manually, and it may lead to the introduction of redundant terms in the ontology. In this chapter we first propose an approach to automatically extend the existing alignments, and we then present an extension of QAKiS, a system for Question Answering over Linked Data that allows to query language specific DB-pedia chapters relying on the above mentioned property alignment. In the current version of QAKiS, English, French and German DBpedia chapters are queried using a natural language interface