The Resource Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource)
Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource)
Resource Information
The item Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- Summary
- This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.--
- Language
- eng
- Extent
- 1 online resource (X, 249 pages)
- Contents
-
- Chapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons
- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook
- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series
- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia
- Chapter5. Timelines of Prostate Cancer Biomarkers
- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks
- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach
- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services
- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics
- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation
- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition
- Isbn
- 9783319781969
- Label
- Social Network Based Big Data Analysis and Applications
- Title
- Social Network Based Big Data Analysis and Applications
- Statement of responsibility
- edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
- Language
- eng
- Summary
- This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.--
- Assigning source
- Provided by publisher
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- Day, Min-Yuh
- Kawash, Jalal
- Kaya, Mehmet
- Khoury, Suheil
- Series statement
-
- Springer eBooks
- Springer eBooks.
- Lecture Notes in Social Networks,
- http://library.link/vocab/subjectName
-
- Big data
- Data mining
- Social sciences—Computer programs
- Social sciences—Data processing
- Label
- Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Chapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons -- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook -- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series -- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia -- Chapter5. Timelines of Prostate Cancer Biomarkers -- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks -- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach -- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services -- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics -- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation -- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition
- Control code
- 978-3-319-78196-9
- Dimensions
- unknown
- Extent
- 1 online resource (X, 249 pages)
- Form of item
-
- online
- electronic
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9783319781969
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 89 illustrations, 77 illustrations in color.
- Specific material designation
- remote
- System control number
- (OCoLC)1035556248
- Label
- Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Chapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons -- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook -- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series -- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia -- Chapter5. Timelines of Prostate Cancer Biomarkers -- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks -- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach -- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services -- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics -- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation -- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition
- Control code
- 978-3-319-78196-9
- Dimensions
- unknown
- Extent
- 1 online resource (X, 249 pages)
- Form of item
-
- online
- electronic
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9783319781969
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 89 illustrations, 77 illustrations in color.
- Specific material designation
- remote
- System control number
- (OCoLC)1035556248
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Social-Network-Based-Big-Data-Analysis-and/QjNVJMNeSiw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Social-Network-Based-Big-Data-Analysis-and/QjNVJMNeSiw/">Social Network Based Big Data Analysis and Applications, edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
