scholarly journals Partner Selection in China Interorganizational Patent Cooperation Network Based on Link Prediction Approaches

2021 ◽  
Vol 13 (2) ◽  
pp. 1003
Author(s):  
Wei Chen ◽  
Hui Qu ◽  
Kuo Chi
Keyword(s):  
Social Networks ◽  
Link Prediction ◽  
Geographical Location ◽  
Partner Selection ◽  
Basic Properties ◽  
Cooperation Network ◽  
The Common ◽  
Patent Applications ◽  
Selection For ◽  
Selection Of

To enhance competitiveness and protect interest, an increasing number of organizations cooperate on patent applications. Partner selection has attracted much more attention because it directly affects the success of patent cooperation. By collecting some cooperative patents applied for by different categories of organizations in China from 2007 to 2015, an interorganizational patent cooperation network was built for this paper. After analyzing certain basic properties of the network, it was found that the network possessed some typical characteristics of social networks. Moreover, the network could be divided into communities, and three communities were selected to analyze as representative. Furthermore, to explore the partner selection in the patent cooperation network, eight link prediction approaches commonly used in social networks were introduced to run on another interorganizational patent cooperation network built by the patents applied for in 2016. The precision metric results of the eight link prediction approaches show that they are effective in partnership prediction; in particular, the Common Neighbors (CN) index can be effectively applied to the selection of unfamiliar partners for organizations in patent cooperation. Moreover, this paper also verified the trust transitivity based not only on historical cooperation but also on geographical location, and the complementarity of capabilities still plays an important role in partner selection for organizations.

Clustering-based link prediction in scientific coauthorship networks

2017 ◽  
Vol 28 (06) ◽  
pp. 1750082 ◽  
Author(s):  
Yang Ma ◽  
Guangquan Cheng ◽  
Zhong Liu ◽  
Xingxing Liang
Keyword(s):  
Social Networks ◽  
Link Prediction ◽  
Clustering Method ◽  
Scientific Cooperation ◽  
Coauthorship Networks ◽  
Cooperation Network ◽  
Better Than

Link prediction in social networks has become a growing concern among researchers. In this paper, the clustering method was used to exploit the grouping tendency of nodes, and a clustering index (CI) was proposed to predict potential links with characteristics of scientific cooperation network taken into consideration. Results showed that CI performed better than the traditional indices for scientific coauthorship networks by compensating for their disadvantages. Compared with traditional algorithms, this method for a specific type of network can better reflect the features of the network and achieve more accurate predictions.

scholarly journals Typical Errors in the Writing of the Students Participating in Mawapres Selection in ITS Surabaya

2015 ◽  
Vol 6 (1) ◽  
pp. 61-70
Author(s):  
Hermanto Hermanto
Keyword(s):  
Classification System ◽  
English Abstract ◽  
The Common ◽  
Error Classification ◽  
Selection For ◽  
Speaking Performance ◽  
National Selection ◽  
Writing Errors ◽  
Selection Of ◽  
Made In

One of the elements in the selection of the “ITS Heroes 2015” to be the candidates for National Selection for Student Competition (Mawapres) is the ability of the participants to communicate in English in the form of writing and speaking performance. In the writing performance, the participants must submit an English abstract of their papers, and in the speaking performance, the participants are required to tell themselves in English. From these two evaluation items, the abstract is more interesting to analyze in terms of the writing errors the participants made in it. This paper presents the analysis of the common writing errors made by the participants of “ITS Heroes 2015”. The errors are categorized and analyzed based on the checklist items by adopting Kim (2009)’s error classification system, which is based on Dulay, Burt, and Krashen’s classification system.

GVK–MIAL: Partner Selection for Public-Private Partnership

2019 ◽  
Vol 23 (02) ◽  
pp. 427-456
Author(s):  
Sanjeev Ganguly ◽  
Satyasiba Das
Keyword(s):  
Partner Selection ◽  
Public Private Partnership ◽  
Early Years ◽  
Private Partnership ◽  
The Public ◽  
Partnership Model ◽  
Selection For ◽  
The Government ◽  
The Right ◽  
Selection Of

The unprecedented growth of air traffic during the early years of industrial and economic reform in India led to the government’s decision to open Indian airspace to private and international operators. During this period, inadequate infrastructure and management’s inability to expand had created congestion in most of the airports. The urgent requirements for modernization and expansion with limited funds left the government in the dilemma of selecting the right kind of inter-organizational collaboration. After much deliberation and consideration, the government considered adopting the public-private partnership model. Without any prior experience and executional history, selection of partners was the key challenge before the government. The case summarizes one of the most significant public-private partnership projects in India and provides managerial insights into partner selection and execution challenges of large infrastructural projects typical to many developing countries.

scholarly journals An Algorithm Based on Influence to Predict Invisible Relationship

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Junfeng Tian ◽  
Lizheng Xue ◽  
Hongyun Cai
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Link Prediction ◽  
Numerical Experiments ◽  
Coincidence Degree ◽  
Computer Research ◽  
The Common

Research on social networks is at its peak in the current era of big data, especially in the field of computer research. Link prediction in social networks has attracted an increasing number of researchers. However, most of the current studies have focused on the prediction of the visible relationships between users, ignoring the existence of invisible relationships. The same as visible relationships, invisible relationships are also an indispensable part of social networks, and they can uncover more potential relationships between users. To better understand invisible relationship, definition, types, and characteristics of invisible relationship have been introduced in this paper. Also an influence algorithm is proposed to speculate on the existence of invisible edges between users. The algorithm is based on three indicators, namely, the occasional contact degree, interest coincidence degree, and the popularity of users, and it takes the influence as reference. By comparing with the threshold, Θ , defined in advance, users with relationships stronger than Θ are viewed as possessing invisible relationships. The feasibility and accuracy of the algorithm are proven by extensive numerical experiments compared with one well-known and widely used method, i.e., the common neighbors (CN).

Genetic Variability and Heritability Estimates Based on the F2 Generation from Crosses of Large-Seeded Virginia-Type Peanuts with Lines Resistant to Cylindrocladium Black Rot1

1983 ◽  
Vol 10 (1) ◽  
pp. 47-51 ◽  
Author(s):  
C. C. Green ◽  
J. C. Wynne ◽  
M. K. Beute
Keyword(s):  
Genetic Effects ◽  
Fruit Traits ◽  
Resistant Lines ◽  
The Common ◽  
Low Levels ◽  
Selection For ◽  
Heritability Estimates ◽  
F2 Generation ◽  
Additive Genetic Effects ◽  
Selection Of

Abstract Selection of large-fruited, high-yielding Cylindrocladium black rot — (CBR) resistant lines from two sets of crosses, each set consisting of crosses in F2 generation between a virginia and two CBR-resistant lines, was evaluated to determine the potential for selecting cultivars with these traits. Heritabilities, phenotypic and genotypic correlations and estimates of additive and nonadditive genetic effects were determined for yield and fruit traits at two locations and CBR resistance at one location. Crosses with NC 2 as a parent had higher levels of CBR resistance than those with Florigiant as the common virginia-type parent. Heritability estimates for the necrosis index (CBR resistance) were high while estimates for yield and fruit traits were variable over crosses and locations. The necrosis index was significantly and negatively correlated with all fruit and yield traits for three of the four crosses indicating it should be possible to select high-yielding, largefruited lines with low levels of disease from three crosses. Only significant additive genetic effects were found for CBR resistance. Significant additive and nonadditive genetic effects were found for the yield and fruit traits. Estimates of additive and non-additive genetic effects indicate that early generation selection for CBR resistance should be effective, whereas selection for yield and fruit traits would be more effective in later generations.

scholarly journals Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks

Information ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 214
Author(s):  
Pokpong Songmuang ◽  
Chainarong Sirisup ◽  
Aroonwan Suebsriwichai
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Network ◽  
Prediction Model ◽  
Link Prediction ◽  
Classification Model ◽  
Density Level ◽  
Missing Link ◽  
Common Features ◽  
The Common

The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents the use of information from non-overlapping users as additional features in training a prediction model using a machine-learning approach. The proposed features are designed to use together with the common features as extra features to help in tuning up for a better classification model. The social network data sources used in this paper are Twitter and Facebook where Twitter is a main data for prediction and Facebook is a supporting data. For evaluations, a comparison using different machine-learning techniques, feature settings, and different network-density level of data source is studied. The experimental results can be concluded that the prediction model using a combination of the proposed features and the common features with Random Forest technique gained the best efficiency using percentage amount of recovering missing links and F1 score. The model of combined features yields higher percentage of recovering link by an average of 23.25% and the F1-measure by an average of 19.80% than the baseline of multi-social network source.

Identifying Measurement Invariant Item Sets in Cross-Cultural Settings Using an Automated Item Selection Procedure

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid
Keyword(s):  
Measurement Invariance ◽  
Optimal Solution ◽  
Selection Procedure ◽  
Cross Cultural ◽  
Item Selection ◽  
Ant System ◽  
Item Quality ◽  
Ant System Algorithm ◽  
Selection For ◽  
Selection Of

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.

ESTIMASI NILAI HERITABILITAS BOBOT IKAN MAS VARIETAS PUNTEN DALAM PROGRAM SELEKSI INDIVIDU

2016 ◽  
Vol 11 (3) ◽  
pp. 217
Author(s):  
Estu Nugroho ◽  
Budi Setyono ◽  
Mochammad Su’eb ◽  
Tri Heru Prihadi
Keyword(s):  
Body Weight ◽  
Selection Response ◽  
Base Population ◽  
Breeding Programs ◽  
Male And Female ◽  
Body Weight Trait ◽  
Population Selection ◽  
Selection For ◽  
Weight Trait ◽  
Selection Of

Program pemuliaan ikan mas varietas Punten dilakukan dengan seleksi individu terhadap karakter bobot ikan. Pembentukan populasi dasar untuk kegiatan seleksi dilakukan dengan memijahkan secara massal induk ikan mas yang terdiri atas 20 induk betina dan 21 induk jantan yang dikoleksi dari daerah Punten, Kepanjen (delapan betina dan enam jantan), Kediri (tujuh betina dan 12 jantan), Sragen (27 betina dan 10 jantan), dan Blitar (15 betina dan 11 jantan). Larva umur 10 hari dipelihara selama empat bulan. Selanjutnya dilakukan penjarangan sebesar 50% dan benih dipelihara selama 14 bulan untuk dilakukan seleksi dengan panduan hasil sampling 250 ekor individu setiap populasi. Seleksi terhadap calon induk dilakukan saat umur 18 bulan pada populasi jantan dan betina secara terpisah dengan memilih berdasarkan 10% bobot ikan yang terbaik. Calon induk yang terseleksi kemudian dipelihara hingga matang gonad, kemudian dipilih sebanyak 150 pasang dan dipijahkan secara massal. Didapatkan respons positif dari hasil seleksi berdasarkan bobot ikan, yaitu 49,89 g atau 3,66% (populasi ikan jantan) dan 168,47 g atau 11,43% (populasi ikan betina). Nilai heritabilitas untuk bobot ikan adalah 0,238 (jantan) dan 0,505 (betina).Punten carp breeding programs were carried out by individual selection for body weight trait. The base population for selection activities were conducted by mass breeding of parent consisted of 20 female and 21 male collected from area Punten, eight female and six male (Kepanjen), seven female and 12 male (Kediri), 27 female and 10 male (Sragen), 15 female and 11 male (Blitar). Larvae 10 days old reared for four moths. Then after spacing out 50% of total harvest, the offspring reared for 14 months for selection activity based on the sampling of 250 individual each population. Selection of broodstock candidates performed since 18 months age on male and female populations separately by selecting based on 10% of fish with best body weight. Candidates selected broodstocks were then maintained until mature. In oder to produce the next generation 150 pairs were sets and held for mass spawning. The results revealed that selection response were positive, 49.89 g (3.66%) for male and 168.47 (11.43%) for female. Heritability for body weight is 0.238 (male) and 0.505 (female).

Kesulitan Mahasiswa Pembelajar Pemula Bahasa Perancis dalam Memahami Gramatika

Metahumaniora ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. 354
Author(s):  
Ferli Hasanah
Keyword(s):  
French Literature ◽  
French Language ◽  
First Year ◽  
The Common ◽  
French Grammar ◽  
Bahasa Indonesia ◽  
Selection Of

ABSTRAKGramatika pada setiap bahasa memiliki kekhasannya masing-masing.Mahasiswa Program Studi Sastra Perancis tahun pertama sebagai pembelajar pemulasering mengalami kesulitan dalam memahami gramatika bahasa. Kesulitan mereka tidakterlepas dari perbedaan-perbedaan mendasar pada struktur bahasa Indonesia sebagaibahasa ibu mereka dan bahasa Perancis yang tengah dipelajari. Penelitian ini dilaksanakandengan tujuan untuk mengetahui hambatan yang dimiliki mahasiswa pembelajar pemuladi Program Studi Sastra Perancis Universitas Padjadjaran dalam memahami gramatikabahasa Perancis. Metode yang digunakan dalam penelitian ini adalah metode simak dancatat. Hasil analisis ini menunjukkan bahwa kesalahan-kesalahan yang umum dilakukanpembelajar pemula ada pada penggunaan accent, konjugasi verba, partikel défini maupunindéfini, accord penanda feminin atau jamak, serta pemilihan preposisi.Kata kunci: gramatika, bahasa Perancis, konjugasiABST RACTThe grammar in every language has its own particularities. French literaturestudents in the first year as a beginner learners often have problem in understandingFrench grammar which is frequently considered difficult. Their struggle is inseparablefrom the fundamental differences between Indonesian structure as their mother tongueand the French language which being studied. This research aims to know the obstaclesof the students of beginner learners in the French Literature of Padjadjaran university inunderstanding the basic French grammar. The method used in this research is referringand taking notes method. The results of the analysis shows that the common mistakes oflearners are in the use of accents, verb conjugations, particles défini or indéfini, markeraccord feminine or plural, and the selection of prepositions.Keywords: grammar, French, conjugation

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