Predicting the future with social media (Twitter y Box Office)Gonzalo Martín
This document examines using social media content from Twitter to predict real-world outcomes, specifically box office revenues for movies. It finds that the rate at which tweets are created about movies can be used to build a predictive model that outperforms market-based predictors. Sentiment analysis of tweets is also found to improve predictive power, with positive tweets encouraging viewership after a movie's release. The study analyzes attention and popularity trends on Twitter for movies as well as how sentiments influence people and box office performance.
These slides were used for an internal presentation of the SoNet group - http://sonet.fbk.eu
Every week, one member of the SoNet group presents a research papers to the other members. The mentioned paper(s) are hence written by other researchers.
This the abstract of the original paper made by
Sitaram Asur, Bernardo A. Huberman
In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. In this paper, we demonstrate how social media content can be used to predict real-world outcomes. In particular, we use the chatter from Twitter.com to forecast box-office revenues for movies. We show that a simple model built from the rate at which tweets are created about particular topics can outperform market-based predictors. We further demonstrate how sentiments extracted from Twitter can be further utilized to improve the forecasting power of social media.
The dramatic rise in the use of Social Media (SM) platforms such as Facebook and Twitter provide access to an unprecedented amount of user data. Users may post reviews on products and services they bought, write about their interests, share ideas or give their opinions and views on political issues. There is a growing interest in the analysis of SM data from organisations for detecting new trends, obtaining user opinions on their products and services or finding out about their online reputations. A recent research trend in SM analysis is making predictions based on sentiment analysis of SM. Often indicators of historic SM data are represented as time series and correlated with a variety of real world phenomena like the outcome of elections, the development of financial indicators, box office revenue and disease outbreaks.
This document provides an introduction to social network analysis, including:
1. An overview of different types of networks, both social and non-social. Examples of networks in different domains are shown.
2. A discussion of fundamental concepts in social network analysis, including how networks can be analyzed at different levels from ego networks to global networks.
3. An outline of common research areas in social network analysis, such as research on network structure, actors, ties, and network dynamics.
4. An introduction to basic network measures that can be used to analyze whole networks, including density, average degree, average distance, and number of components. More advanced metrics are mentioned to be covered in the next session.
20100527 1400 1530_nia_정보사회와웹2.0세상_정보윤리교육기관강사대상_특강JM code group
This document contains the slides from a presentation on information society and Web 2.0 given on May 27, 2010. The presentation discusses topics like Twitter, semantic social networks, open data, and how technology and social media are transforming society and culture. It provides examples of how companies and governments can benefit from more open policies and APIs. The presentation aims to help understand new concepts of security and control in the networked era.
Bowling Alone and Trust Decline in Social Network SitesPaolo Massa
In this paper we analyze the community of a social network site, Advogato. The peculiar characteristics of Advogato is that users can explicitly express weighted trust relationships among themselves. We conduct a longitudinal analysis of the trust network over a time period of 4 years, exploring the community as it grew from a knit circle of 300 users to an society of almost 6500 individuals. We report the changes over time of standard indexes in social network analysis such as clustering and degrees of separation. We then focus on specific measures about trust such as reciprocity and changes over time of average trust. A decline in trust is observed as the community grows. Following what we believe to be the first empirical analysis of trust evolution over time in a real community, we conclude suggesting how the availability of data about human relationships in social network sites is opening up the possibility of monitoring changes in trust in real time. In order to foster this research line, we released the datasets and the code we used in our analysis.
This document summarizes a lecture on analyzing the structure and dynamics of social networks. The lecture will focus on reviewing classic papers on topics like how social networks form and evolve over time, how information spreads through social networks, and who is influential. It will assess papers on their main ideas, novelty, and impact. The objectives are to gain insights on network structure, dynamics, and potential research project ideas. The lecture will cover analyzing social networks as graphs and contrasting their properties to random graphs, as well as models for generating networks.
Predicting the future with social media (Twitter y Box Office)Gonzalo Martín
This document examines using social media content from Twitter to predict real-world outcomes, specifically box office revenues for movies. It finds that the rate at which tweets are created about movies can be used to build a predictive model that outperforms market-based predictors. Sentiment analysis of tweets is also found to improve predictive power, with positive tweets encouraging viewership after a movie's release. The study analyzes attention and popularity trends on Twitter for movies as well as how sentiments influence people and box office performance.
These slides were used for an internal presentation of the SoNet group - http://sonet.fbk.eu
Every week, one member of the SoNet group presents a research papers to the other members. The mentioned paper(s) are hence written by other researchers.
This the abstract of the original paper made by
Sitaram Asur, Bernardo A. Huberman
In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. In this paper, we demonstrate how social media content can be used to predict real-world outcomes. In particular, we use the chatter from Twitter.com to forecast box-office revenues for movies. We show that a simple model built from the rate at which tweets are created about particular topics can outperform market-based predictors. We further demonstrate how sentiments extracted from Twitter can be further utilized to improve the forecasting power of social media.
The dramatic rise in the use of Social Media (SM) platforms such as Facebook and Twitter provide access to an unprecedented amount of user data. Users may post reviews on products and services they bought, write about their interests, share ideas or give their opinions and views on political issues. There is a growing interest in the analysis of SM data from organisations for detecting new trends, obtaining user opinions on their products and services or finding out about their online reputations. A recent research trend in SM analysis is making predictions based on sentiment analysis of SM. Often indicators of historic SM data are represented as time series and correlated with a variety of real world phenomena like the outcome of elections, the development of financial indicators, box office revenue and disease outbreaks.
This document provides an introduction to social network analysis, including:
1. An overview of different types of networks, both social and non-social. Examples of networks in different domains are shown.
2. A discussion of fundamental concepts in social network analysis, including how networks can be analyzed at different levels from ego networks to global networks.
3. An outline of common research areas in social network analysis, such as research on network structure, actors, ties, and network dynamics.
4. An introduction to basic network measures that can be used to analyze whole networks, including density, average degree, average distance, and number of components. More advanced metrics are mentioned to be covered in the next session.
20100527 1400 1530_nia_정보사회와웹2.0세상_정보윤리교육기관강사대상_특강JM code group
This document contains the slides from a presentation on information society and Web 2.0 given on May 27, 2010. The presentation discusses topics like Twitter, semantic social networks, open data, and how technology and social media are transforming society and culture. It provides examples of how companies and governments can benefit from more open policies and APIs. The presentation aims to help understand new concepts of security and control in the networked era.
Bowling Alone and Trust Decline in Social Network SitesPaolo Massa
In this paper we analyze the community of a social network site, Advogato. The peculiar characteristics of Advogato is that users can explicitly express weighted trust relationships among themselves. We conduct a longitudinal analysis of the trust network over a time period of 4 years, exploring the community as it grew from a knit circle of 300 users to an society of almost 6500 individuals. We report the changes over time of standard indexes in social network analysis such as clustering and degrees of separation. We then focus on specific measures about trust such as reciprocity and changes over time of average trust. A decline in trust is observed as the community grows. Following what we believe to be the first empirical analysis of trust evolution over time in a real community, we conclude suggesting how the availability of data about human relationships in social network sites is opening up the possibility of monitoring changes in trust in real time. In order to foster this research line, we released the datasets and the code we used in our analysis.
This document summarizes a lecture on analyzing the structure and dynamics of social networks. The lecture will focus on reviewing classic papers on topics like how social networks form and evolve over time, how information spreads through social networks, and who is influential. It will assess papers on their main ideas, novelty, and impact. The objectives are to gain insights on network structure, dynamics, and potential research project ideas. The lecture will cover analyzing social networks as graphs and contrasting their properties to random graphs, as well as models for generating networks.
#y2soccomp week 1 - the emergence of web2.0dan mcquillan
The document outlines the weekly topics of a social computing course over two terms. In term 1, topics include the emergence of web 2.0 and social media, understanding social networks, programming and participatory culture, crowdsourcing, social business, analyzing data, and civic hacking. Term 2 topics are live streaming, critical theories, and collaborative project management techniques. Students will complete weekly readings, blog posts, participate in discussions, and work on individual and group assignments.
The document discusses the evolution of the web from read-only to read-write and participation through user-generated content and social media. It defines social media as people having conversations online and outlines how users interact by posting, sharing, tagging, and commenting on various types of content. The document also discusses emerging technologies like mobile social web, telepresence, and crowdsourcing as well as laws governing the growth of networks and bandwidth.
H. Purohit, Y. Ruan, A. Joshi, S. Parthasarathy, A. Sheth. Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter. in SoME 2011 (Workshop on Social Media Engagement, in conjunction with WWW 2011), March 29, 2011.
Paper: http://knoesis.org/library/resource.php?id=1095
More on Social Media @ Kno.e.sis at http://knoesis.org/research/semweb/projects/socialmedia/
Remixing Media on the Semantic Web (ISWC2014 Tutorial) Pt 2 Linked Media: An...LinkedTV
The second session looks at how using Linked Data principles for media fragment annotation publication and retrieval (Linked Media) can enable online media fragment re-use:
Introducing the Linked Media principles
Publishing Linked Media using dedicated multimedia RDF repositories
Retrieval of media resources that illustrate linked data concepts
Using the Linked Data graph to find relevant links between distinct media assets (examples with SPARQL)
Retrieval of links between annotated media to enable topical browsing (using the TVEnricher service)
Examples of Linked Media at scale: VideoLyzard and HyperTED
Henry Story: Philosophy and the Social WebPhiloWeb
1. The document discusses social networks and how they function similarly to Jeremy Bentham's Panopticon, with network operators able to see all user connections and data, while users only see a limited view of their own networks.
2. It notes how users can leave social networks, but at the cost of losing access to their data and connections with friends. Each social network operates as a "data silo" where information cannot be ported to other networks.
3. The document argues that a more open system is needed where users have portable profiles and globally unique identifiers, similar to systems used for telephone numbers, email addresses and web domains. This would allow borderless communication across networks.
This document discusses tools for tracking social media buzz and viral activity. It describes several platforms for monitoring mentions across social networks, including Social Mention, Mention.net, and Whostalkin.com. These tools aggregate posts from various sites to track topics and sentiment. Klout is also discussed as a service that measures online influence by analyzing reach and engagement on networks. Businesses are interested in these tools to understand which of their content and communications are most influential in order to improve marketing effectiveness.
The document discusses social systems for smaller communities. It provides an overview of key elements of social systems like user-generated content, shared resources, and comments/ratings. It also discusses challenges like participation levels decreasing significantly as community sizes increase. The goal is to explore how to design social systems that facilitate sharing and collaboration for smaller local communities like in Pittsburgh around events and research talks. Several existing systems for this are presented as examples.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Invited talk at Session on Semantic Knowledge for Commodity Computing, at Microsoft Research Faculty Summit 2011, July 19-20, 2011, Redmond, WA. http://research.microsoft.com/en-us/events/fs2011/default.aspx
Associated video at: https://youtu.be/HKqpuLiMXRs
Testing Vitality Ranking and Prediction in Social Networking Services With Dy...reshma reshu
Social networking services have been prevalent at many online communities such as Twitter.com and Weibo.com, where millions of users keep interacting with each other every day. One interesting and important problem in the social networking services is to rank users based on their vitality in a timely fashion. An accurate ranking list of user vitality could benefit many parties in social network services such as the ads providers and site operators. Although it is very promising to obtain a vitality-based ranking list of users, there are many technical challenges due to the large scale and dynamics of social networking data .
Traction User Group 2010 - Brian Tullis Presentationbtullis
Traction User Group 2010 meeting at Newport, RI. I gave this presentation on Observable Work, detailing my personal thoughts and showing examples within my organization. Be sure to view the speaker notes. Also check Twitter tags #Owork and #TUG2010.
Interactive Innovation Through Social Software And Web 2.0Thomas Ryberg
The document discusses key aspects of Web 2.0 and social software, including user-generated content, collaboration, sharing and folksonomies. It provides examples of popular Web 2.0 sites like YouTube, Flickr and Facebook that allow users to connect, share content and form online social networks. The conceptual perspective emphasizes interactive innovation through open architectures that support user participation, hacking and perpetual development.
Socialising in the Sun 245$a / Fred Guy, Suncat Service Manager, EDINACIGScotland
Fred Guy describes the part social media has played in the development of Suncat, the UK serials union cataloge. Presented at the 6th annual Metadata & Web 2.0 seminar organised by the Cataloguing and Indexing Group in Scotland, held at the National Library of Scotland, 21 June 2013
This document discusses the concept of "Web 2.0" and its implications for education. It separates Web 2.0 into discussions of technologies, applications/services, and underlying ideas. Key points include:
- Web 2.0 refers to both ongoing Web development as well as newer social applications like blogs and wikis that facilitate user participation and collaboration.
- Six "big ideas" underpin Web 2.0, including user-generated content, harnessing collective intelligence, vast amounts of accessible data, and architectures of participation.
- Libraries face questions around collecting and preserving user-generated Web 2.0 content.
- Emerging technologies like the semantic Web and issues around trust, privacy and security
Web 2.0: How have the Internet and learners changed and how can education res...Jason Neiffer
This document discusses how the internet and learners have changed with the emergence of Web 2.0 technologies, and how education can respond. It outlines how Web 2.0 enables collaboration, user-generated content, social networking and more interactive experiences compared to earlier versions of the internet. The document also reviews standards and research on emerging technology trends that will impact higher education in the coming years, such as social networking, virtual worlds and mobile devices.
This document discusses perspectives on net neutrality from various key players. It provides an overview of net neutrality and defines the internet. Supporters of net neutrality like Tim Wu and major websites argue that an open internet promotes innovation, while opponents like Verizon believe they have a right to prioritize traffic on networks they built. Government stances vary, with the EU supporting net neutrality, Brazil opposing prioritization, and the US debating the issue.
This document discusses perspectives on net neutrality from various key players. It begins by defining the internet and net neutrality. It then explores views from individual supporters like Tim Wu who coined the term, major websites who back an open internet, and internet service provider Verizon who supports prioritization. Government positions are also examined, including the EU, Brazil, and debates in the US between the FCC, Obama, and Republicans. The conclusion reiterates that net neutrality remains a highly debated issue with arguments on both sides.
Detecting and Resolving Privacy Conflicts in Online Social NetworksIRJET Journal
This document discusses privacy issues with sharing data on online social networks. It proposes an approach to enable collaborative privacy management of shared data between multiple users. The key issues are that current social networks only allow individual users to control privacy of their own data, but not over data involving multiple users. The proposed approach aims to provide a system and mechanisms for managing privacy of data associated with groups of users on social networks in a collaborative way.
ChatGPT 4o for social media step by step Guide.pdfalmutabbil
In this comprehensive guide, we'll delve into the exciting world of ChatGPT and explore
its practical applications for social media success. Learn how to craft captivating posts
that resonate with your audience, leverage automation to save precious time, and utilize
ChatGPT's analytical prowess to stay ahead of the curve.
#y2soccomp week 1 - the emergence of web2.0dan mcquillan
The document outlines the weekly topics of a social computing course over two terms. In term 1, topics include the emergence of web 2.0 and social media, understanding social networks, programming and participatory culture, crowdsourcing, social business, analyzing data, and civic hacking. Term 2 topics are live streaming, critical theories, and collaborative project management techniques. Students will complete weekly readings, blog posts, participate in discussions, and work on individual and group assignments.
The document discusses the evolution of the web from read-only to read-write and participation through user-generated content and social media. It defines social media as people having conversations online and outlines how users interact by posting, sharing, tagging, and commenting on various types of content. The document also discusses emerging technologies like mobile social web, telepresence, and crowdsourcing as well as laws governing the growth of networks and bandwidth.
H. Purohit, Y. Ruan, A. Joshi, S. Parthasarathy, A. Sheth. Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter. in SoME 2011 (Workshop on Social Media Engagement, in conjunction with WWW 2011), March 29, 2011.
Paper: http://knoesis.org/library/resource.php?id=1095
More on Social Media @ Kno.e.sis at http://knoesis.org/research/semweb/projects/socialmedia/
Remixing Media on the Semantic Web (ISWC2014 Tutorial) Pt 2 Linked Media: An...LinkedTV
The second session looks at how using Linked Data principles for media fragment annotation publication and retrieval (Linked Media) can enable online media fragment re-use:
Introducing the Linked Media principles
Publishing Linked Media using dedicated multimedia RDF repositories
Retrieval of media resources that illustrate linked data concepts
Using the Linked Data graph to find relevant links between distinct media assets (examples with SPARQL)
Retrieval of links between annotated media to enable topical browsing (using the TVEnricher service)
Examples of Linked Media at scale: VideoLyzard and HyperTED
Henry Story: Philosophy and the Social WebPhiloWeb
1. The document discusses social networks and how they function similarly to Jeremy Bentham's Panopticon, with network operators able to see all user connections and data, while users only see a limited view of their own networks.
2. It notes how users can leave social networks, but at the cost of losing access to their data and connections with friends. Each social network operates as a "data silo" where information cannot be ported to other networks.
3. The document argues that a more open system is needed where users have portable profiles and globally unique identifiers, similar to systems used for telephone numbers, email addresses and web domains. This would allow borderless communication across networks.
This document discusses tools for tracking social media buzz and viral activity. It describes several platforms for monitoring mentions across social networks, including Social Mention, Mention.net, and Whostalkin.com. These tools aggregate posts from various sites to track topics and sentiment. Klout is also discussed as a service that measures online influence by analyzing reach and engagement on networks. Businesses are interested in these tools to understand which of their content and communications are most influential in order to improve marketing effectiveness.
The document discusses social systems for smaller communities. It provides an overview of key elements of social systems like user-generated content, shared resources, and comments/ratings. It also discusses challenges like participation levels decreasing significantly as community sizes increase. The goal is to explore how to design social systems that facilitate sharing and collaboration for smaller local communities like in Pittsburgh around events and research talks. Several existing systems for this are presented as examples.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Invited talk at Session on Semantic Knowledge for Commodity Computing, at Microsoft Research Faculty Summit 2011, July 19-20, 2011, Redmond, WA. http://research.microsoft.com/en-us/events/fs2011/default.aspx
Associated video at: https://youtu.be/HKqpuLiMXRs
Testing Vitality Ranking and Prediction in Social Networking Services With Dy...reshma reshu
Social networking services have been prevalent at many online communities such as Twitter.com and Weibo.com, where millions of users keep interacting with each other every day. One interesting and important problem in the social networking services is to rank users based on their vitality in a timely fashion. An accurate ranking list of user vitality could benefit many parties in social network services such as the ads providers and site operators. Although it is very promising to obtain a vitality-based ranking list of users, there are many technical challenges due to the large scale and dynamics of social networking data .
Traction User Group 2010 - Brian Tullis Presentationbtullis
Traction User Group 2010 meeting at Newport, RI. I gave this presentation on Observable Work, detailing my personal thoughts and showing examples within my organization. Be sure to view the speaker notes. Also check Twitter tags #Owork and #TUG2010.
Interactive Innovation Through Social Software And Web 2.0Thomas Ryberg
The document discusses key aspects of Web 2.0 and social software, including user-generated content, collaboration, sharing and folksonomies. It provides examples of popular Web 2.0 sites like YouTube, Flickr and Facebook that allow users to connect, share content and form online social networks. The conceptual perspective emphasizes interactive innovation through open architectures that support user participation, hacking and perpetual development.
Socialising in the Sun 245$a / Fred Guy, Suncat Service Manager, EDINACIGScotland
Fred Guy describes the part social media has played in the development of Suncat, the UK serials union cataloge. Presented at the 6th annual Metadata & Web 2.0 seminar organised by the Cataloguing and Indexing Group in Scotland, held at the National Library of Scotland, 21 June 2013
This document discusses the concept of "Web 2.0" and its implications for education. It separates Web 2.0 into discussions of technologies, applications/services, and underlying ideas. Key points include:
- Web 2.0 refers to both ongoing Web development as well as newer social applications like blogs and wikis that facilitate user participation and collaboration.
- Six "big ideas" underpin Web 2.0, including user-generated content, harnessing collective intelligence, vast amounts of accessible data, and architectures of participation.
- Libraries face questions around collecting and preserving user-generated Web 2.0 content.
- Emerging technologies like the semantic Web and issues around trust, privacy and security
Web 2.0: How have the Internet and learners changed and how can education res...Jason Neiffer
This document discusses how the internet and learners have changed with the emergence of Web 2.0 technologies, and how education can respond. It outlines how Web 2.0 enables collaboration, user-generated content, social networking and more interactive experiences compared to earlier versions of the internet. The document also reviews standards and research on emerging technology trends that will impact higher education in the coming years, such as social networking, virtual worlds and mobile devices.
This document discusses perspectives on net neutrality from various key players. It provides an overview of net neutrality and defines the internet. Supporters of net neutrality like Tim Wu and major websites argue that an open internet promotes innovation, while opponents like Verizon believe they have a right to prioritize traffic on networks they built. Government stances vary, with the EU supporting net neutrality, Brazil opposing prioritization, and the US debating the issue.
This document discusses perspectives on net neutrality from various key players. It begins by defining the internet and net neutrality. It then explores views from individual supporters like Tim Wu who coined the term, major websites who back an open internet, and internet service provider Verizon who supports prioritization. Government positions are also examined, including the EU, Brazil, and debates in the US between the FCC, Obama, and Republicans. The conclusion reiterates that net neutrality remains a highly debated issue with arguments on both sides.
Detecting and Resolving Privacy Conflicts in Online Social NetworksIRJET Journal
This document discusses privacy issues with sharing data on online social networks. It proposes an approach to enable collaborative privacy management of shared data between multiple users. The key issues are that current social networks only allow individual users to control privacy of their own data, but not over data involving multiple users. The proposed approach aims to provide a system and mechanisms for managing privacy of data associated with groups of users on social networks in a collaborative way.
Similar to Predicting the future with social media (20)
ChatGPT 4o for social media step by step Guide.pdfalmutabbil
In this comprehensive guide, we'll delve into the exciting world of ChatGPT and explore
its practical applications for social media success. Learn how to craft captivating posts
that resonate with your audience, leverage automation to save precious time, and utilize
ChatGPT's analytical prowess to stay ahead of the curve.
Using Playlists to Increase YouTube Watch TimeSocioCosmos
Discover how to use playlists to keep viewers engaged and increase your watch time.
https://www.sociocosmos.com/product-category/youtube/youtube-comments/
TACKLING ILLEGAL LOGGING: PROBLEMS AND CHALLENGESAJHSSR Journal
ABSTRACT: Illegal logging poses significant environmental, economic, and social challenges worldwide. This
research explores the problems associated with illegal logging in the present and future, shedding light on the
multifaceted nature of this issue and the accompanying challenges faced by governments, organizations, and
communities. The study employs a comprehensive literature review to analyze the current state of illegal
logging, its causes, and its consequences. It examines the environmental impact of deforestation, including
biodiversity loss, habitat degradation, and climate change. The researchers identify the challenges faced in
combating illegal logging in the present and anticipate future obstacles. It considers illegal logging networks'
complex and elusive nature, the limited enforcement capacity, and the need for international cooperation and
coordination. The study also examines the adoption and effectiveness of policies, regulations, and technological
advancements in curbing illegal logging practices in Davao City.
Keywords -Problems and Challenges, Cultural Disruptions, Anticipate future problems.
CYBER SECURITY ENHANCEMENT IN NIGERIA. A CASE STUDY OF SIX STATES IN THE NORT...AJHSSR Journal
ABSTRACT: Security plays an important role in human life and endeavors. Securing information and
disseminating are critical challenges in the present day. This study aimed at identifying innovative technologies
that aid cybercrimes and can constitute threats to cybersecurity in North Central (Middle Belt) Nigeria covering
its six States and the FCT Abuja. A survey research design was adopted. The researchers employed the use of
Google form in administering the structured questionnaire. The instruments were faced validated by one expert
each from ICT and security. Cronbach Alpha reliability Coefficient was employed and achieved 0.83 level of
coefficient. The population of the study was 200, comprising 100 undergraduate students from computer science
and Computer/Robotics Education, 80 ICT instructors, technologists and lecturers in the University and
Technical Colleges in the Middle Belt Nigeria using innovative technologies for their daily jobs and 20 officers
of the crime agency such as: Independent Corrupt Practices Commission (ICPC) andEconomic and Financial
Crimes Commission (EFCC). Three research purposes and questions as well as the hypothesis guided the study
on Five (5) point Likert scale. Data collected were analyzed using mean and standard deviation for the three
research questions while three hypotheses were tested using t-test at 0.05 level of significance. Major findings
revealed that serious steps are needed to better secure the cybers against cybercrimes. Motivation, types, threats
and strategies for the prevention of cybercrimes were identified. The study recommends that government,
organizations and individuals should place emphasis on moral development, regular training of its employees,
regular update of software, use strong password, back up data and information, produce strong cybersecurity
policy, install antivirus soft and security surveillance (CCTV) in offices in order to safeguard its employees and
properties from being hacked and vandalized.
KEYWORDS: Cybersecurity, cybercrime, cyberattack, cybercriminal, computer virus, Virtual Private Networks
(VPN).
On Storytelling & Magic Realism in Rushdie’s Midnight’s Children, Shame, and ...AJHSSR Journal
ABSTRACT: Salman Rushdie’s novels are humorous books about serious times. His cosmopolitanism and
hybrid identity allowed him access to multiple cultures, religions, languages, dialects, and various modes of
writing. His style is often classified as magic realism, blending the imaginary with the real. He draws
inspiration from both English literature and Indian classical sources. Throughout his works, there is a lineage of
‘bastards of history’, a carnival of shameful characters scrolling all along his works. Rushdie intertwines fiction
with reality, incorporating intertextual references to Western literature in his texts, and frequently employing
mythology to explore history. This paper focuses on Rushdie’s three novels: Midnight’s Children, Shame, and
Haroun and the Sea of Stories, analyzing his postmodern storytelling techniques that aim to explore human
vices and follies while offering socio-political criticism.
KEYWORDS : Magic Realism, Rushdie, Satire, Storytelling, Transfictional Identities
Facebook Fan Page Profits to boost your profits today!Rohit Gupta
Discover how to turn your Facebook Fan Page into a powerful tool for generating profits! Whether you're an entrepreneur, marketer, or small business owner, learn proven strategies to engage your audience, increase followers, and monetize your fan page effectively. From content creation and engagement tactics to advertising and conversion optimization, unlock the secrets to maximizing your business's success on Facebook. Start leveraging your fan page to boost your profits today!
Discover essential SEO Google tools to boost your website's performance, from Google Analytics and Search Console to Keyword Planner and Page Speed Insights.
Learn more: https://elysiandigitalservices.com/seo-google-tools/
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA-❾❸❹❽❺❾❼❾❾⓿
1. Dynamics of Complex
Networks and Systems
Research Paper
Predicting The Future with Social Media
Okeke, Chukwuma SYSM 6302 FALL, 2015 Prof. Spong, Mark 12/19/2015
2.
3. AGENDA
11 What is Social Media/Network? Twitter
22 Social media feeds can be effective indicators of real-world performance
Social media to build powerful models to predict the future33
44 Perform some Analysis and show how they can improve future predictions
55 Q & A
4.
5. A social network is a social structure made up of a
set of social actors (such as individuals or
organizations), sets of dyadic ties, and other social
interactions between actors
Social Network
Social Media
Social media is defined as "a group of Internet-
based applications that build on the ideological and
technological foundations of Web 2.0, and that
allow the creation and exchange of user-generated
content.
6. Twitter is an online social networking
service that enables users to send and read
short 140-character messages called
"tweets"
Launched on July 13, 2006
Directed social network
Each user has a set of subscribers known as followers
320m Active monthly users
•Tweets - short
messages , news or
links to content such
as images, video and
articles
•retweet is a post
originally made by
one user that is
forwarded by
another user
7. Performance
Obtained data of all tweets referring to
a movie, we used keywords present in
the movie title as search arguments
2.89 million tweets referring to 24
different movies released over a
period of three months from 1.2
million users
8. Movie Release Date
Armored 2009-12-04
Avatar 2009-12-18
The Blind Side 2009-11-20
The Book of Eli 2010-01-15
Daybreakers 2010-01-08
Dear John 2010-02-05
Did You Hear About The Morgans 2009-12-18
Edge Of Darkness 2010-01-29
Extraordinary Measures 2010-01-22
From Paris With Love 2010-02-05
The Imaginarium of Dr Parnassus 2010-01-08
Invictus 2009-12-11
Leap Year 2010-01-08
Legion 2010-01-22
Twilight : New Moon 2009-11-20
Pirate Radio 2009-11-13
Princess And The Frog 2009-12-11
Sherlock Holmes 2009-12-25
Spy Next Door 2010-01-15
The Crazies 2010-02-26
Tooth Fairy 2010-01-22
Transylmania 2009-12-04
When In Rome 2010-01-29
Youth In Revolt 2010-01-08
9.
10. Distribution of total authors and the movies they comment on
Features Week 0 Week 1 Week 2
url 39.5 25.5 22.5
retweet 12.1 12.1 11.66
TABLE II URL AND RETWEET
2 4 6 8 10 12 14 16 18 20 22 24
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Tweetswithurls(percentage)
Week 0
Week 1
Week 2
Percentages of urls in tweets for different movies.
11. Features Adjusted R2
p-value
Avg Tweet-rate 0.80 3.65e-09
Tweet-rate timeseries 0.93 5.279e-09
Tweet-rate timeseries + thcnt 0.973 9.14e-12
HSX timeseries + thcnt 0.965 1.030e-10
COEFFICIENT OF DETERMINATION (R2
) VALUES USING DIFFERENT
PREDICTORS FOR MOVIE BOX-OFFICE REVENUE FOR THE FIRST
WEEKEND.
13. Conclusion
• social media can be utilized to forecast future outcomes.
Specifically, using the rate of chatter from almost 3 million tweets
from the popular site Twitter
• we constructed a linear regression model for predicting box-office
revenues of movies in advance of their release
• We then showed that the results outperformed in accuracy those of
the Hollywood Stock Exchange and that there is a strong correlation
between the amount of attention a given topic has (in this case a
forthcoming movie) and its ranking in the future
14. Conclusion/Recommendation
• This method can be extended to a large panoply of topics, ranging
from the future rating of products to agenda setting and election
outcomes.
• At a deeper level, this work shows how social media expresses a
collective wisdom which, when properly tapped, can yield an
extremely powerful and accurate indicator of future outcomes.