Showing posts with label Social Network. Show all posts
Showing posts with label Social Network. Show all posts

24 October 2013

Largest Scientific Study on Effectiveness of Online Video Advertising Presented at Internet Conference


University of Massachusetts Amherst presented a study on the effectiveness of video advertising as an economic, sustainable and profitable media platform. The study covered 275 million ads from in 367 million videos. With over 3,000 publishers and 65 million viewers, this study is the largest ever done on video advertising.

UMass researchers used Akamai's media analytics platform to study a 15 day period in April 2013 of anonymized viewer data to come up with their observation.

The study noted several factors such as the duration of the ad, where the ad is inserted, and viewer behavior while the ad is showing. It is even observed that weekend and evening viewing scored higher than regular days. Also, a 10 to 15 second fast loading video ad inserted in the middle of a video has a higher completion rate especially if the visitor is a repeat visitor on the site.

The findings of the study will be presented at the Association for Computing Machinery (ACM) Internet Measurement Conference in Barcelona.

Online video is one of the largest source of internet traffic and companies like YouTube are taking advantage of the opportunities it presents for advertising.

17 December 2012

Student Athletes At Risk Of Losing Scholarships Through Inappropriate Use of Social Media


A study by Baylor University and Clemson University state that student-athletes could lose athletic eligibility or a scholarship through inappropriate use of social media such as Twitter and Facebook. The study, "The Positives and Negatives of Twitter: Exploring How Student-Athletes Use Twitter and Respond to Critical Tweets." show that fans and critics would often vent their frustrations on a players performance through social media. These can be often be harshly critical and brutal.

Responding to these messages can be risky to their scholarship and athletic career if they respond wrongly to it. Some choose to shrug off or delete insults -- or even using them constructively as challenges to improve.

The emergence of social media allowed people to interact with others outside of their own social circles. It has given users a platform to share and discuss comments and opinions about anything they want to talk about.

Social media platforms like Twitter, Google+, and Facebook also allow everyone access to famous personalities and celebrities. It is common for these personalities to have a social media account to interact with their fans. They share their opinions, comment on current events or just inform their followers what they are doing at the moment.

Such a direct and real time connection with followers can benefit celebrities who need to be in the social radar regularly but it also has a downside. By being constantly accessible to followers exposes their comments and opinions regardless of impropriety.

It also works both ways, followers can also communicate their opinions back to the person, positive or not. This kind interaction although healthy among "real world" friends doesn't really translate well in the social media world where most of the followers are either anonymous or unknown.

11 August 2012

Algorithm Developed To Trace Source of Internet Rumor, Epidemic, or Terrorist Attack Within A Network


An algorithm is a an order of sequential procedures for performing calculations. It is a step-by-step series of procedures used for calculation, data processing, and automated decision making or reasoning.

Algorithms contain a finite list of well defined instructions that is used to calculate a function. Starting with the first step or state, the instructions describe a computation that, when executed, will proceed through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state.

The transition from one state to the next is not always fixed. Some algorithms incorporate random data or input; randomized algorithms.

Algorithms are used in computers to reach a decision (final ending state) based on available data. An example of a simple algorithm would be a "flip a coin" algorithm. Based on the outcome of a coin flip (heads or tails), the computer will perform a certain instruction.

Rooting out rumors, epidemics, and crime -- with math

Investigators are well aware of how difficult it is to trace an unlawful act to its source. The job was arguably easier with old, Mafia-style criminal organizations, as their hierarchical structures more or less resembled predictable family trees.

In the Internet age, however, the networks used by organized criminals have changed. Innumerable nodes and connections escalate the complexity of these networks, making it ever more difficult to root out the guilty party. EPFL researcher Pedro Pinto of the Audiovisual Communications Laboratory and his colleagues have developed an algorithm that could become a valuable ally for investigators, criminal or otherwise, as long as a network is involved. The team's research was published August 10, 2012, in the journal Physical Review Letters.

Finding the source of a Facebook rumor

"Using our method, we can find the source of all kinds of things circulating in a network just by 'listening' to a limited number of members of that network," explains Pinto. Suppose you come across a rumor about yourself that has spread on Facebook and been sent to 500 people – your friends, or even friends of your friends. How do you find the person who started the rumor? "By looking at the messages received by just 15 of your friends, and taking into account the time factor, our algorithm can trace the path of that information back and find the source," Pinto adds. This method can also be used to identify the origin of a spam message or a computer virus using only a limited number of sensors within the network.

Trace the propagation of an epidemic

Out in the real world, the algorithm can be employed to find the primary source of an infectious disease, such as cholera. "We tested our method with data on an epidemic in South Africa provided by EPFL professor Andrea Rinaldo's Ecohydrology Laboratory," says Pinto. "By modeling water networks, river networks, and human transport networks, we were able to find the spot where the first cases of infection appeared by monitoring only a small fraction of the villages."

05 April 2012

Users From Countries With High Gross Domestic Product (GDP) Use Google to Search More About Future Than The Past


Google Trends compares a search topic and its relevance to how the whole world searches for that particular topic. It shows how often it has been searched on Google over time. It shows how many times the topic has appeared in Google News and where in the world have people searched for it the most.

Google Trends accomplishes this by analyzing a portion of Google web searches to compute how many searches have been done for the terms entered, relative to the total number of searches done on Google over time.

Using Google Trends, researchers study the search behavior of countries based on their GDP.

Study links Google search behavior to GDP

Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past, a quantitative analysis of Google search queries has shown.

The findings, published today in the journal Scientific Reports, suggest there may be a link between online behaviour and real-world economic indicators.

"The Internet is becoming ever more deeply interwoven into the fabric of global society", said Helen Susannah Moat, research associate in UCL's Department of Mathematics and one of the authors of the study.

"Our use of this gigantic information resource is generating huge amounts of data on our current interests and concerns. We were interested in whether we could find cross-country differences in basic online search behaviour which could be linked to real world indicators of socio-economic wellbeing, such as per capita GDP," said Moat.

10 February 2012

Researchers Study Visual Intelligence Through Facebook Users


What is visual intelligence?

Visual intelligence put simply is being "picture smart". It is the ability to recreate and manipulate and modify ones perception of the world in one's mind visually.

It is the spatial understanding of shapes, patterns, designs, and colors. Visual intelligence refers to the ability to reproduce the outer world environment internally in one's mind through images. Chess players, painters, architects, sculptors, theoretical physicists, war strategists, navigators, illusionists, graphic artists, designers, cartographers, and film makers are said to have enhanced visual intelligence.

A team of researchers from the Spanish National Research Council (CSIC) have developed a web application to test the visual intelligence of Facebook users through the social network. The new platform will enable researchers to test different cognitive skills and to obtain large amounts of data that determine what parameters affect the brain's visual capacity.

Any Facebook user can download this application (available in both Spanish and English languages), which consists of different tests for measuring visual intelligence and calculation ability.

Gonzalo García de Polavieja, CSIC researcher and head of the enquiry who works for Cajal Institute states: "It is the first time that we use a social network for a cognitive research. This will enable us to obtain large amounts of information on the cognitive capacity of Internet users worldwide. Once we collect that information, we will analyze it in order to obtain innovative models and results on visual ability".

26 December 2011

Twitter Growth in US Aided By Other Social Networks


CAMBRIDGE, Mass. — We’ve all heard it: The Internet has flattened the world, allowing social networks to spring up overnight, independent of geography or socioeconomic status. Who needs face time with the people around you when you can email, text or tweet to and from almost anywhere in the world? Twitter, the social networking and microblogging site, is said to have more than 300 million users worldwide who follow, forward and respond to each other’s 140-character tweets about anything and everything, 24/7.

But MIT researchers who studied the growth of the newly hatched Twitter from 2006 to 2009 say the site’s growth in the United States actually relied primarily on media attention and traditional social networks based on geographic proximity and socioeconomic similarity. In other words, at least during those early years, birds of a feather flocked — and tweeted — together.

In their study of Twitter’s “contagion process,” the researchers looked at data from 16,000 U.S. cities, focusing on the 408 with the highest number of Twitter users and seeking to update traditional models of how information spreads and technology is adopted.

Just as marketing experts sometimes label consumers as early adopters, early majority adopters, late majority adopters or laggards, the researchers characterized cities in those terms, based on when Twitter accounts in a given city reached critical mass. Critical mass is generally defined as the point when something reaches 13.5 percent of the population, which for this study was 13.5 percent of the highest total number of Twitter users in a city through August 2009, the end of the study period.

Video: Follow Your Interests. Discover Your World. Twitter


As with most technologies, the growth in popularity initially spread via young, tech-savvy “innovators,” in this case from Twitter’s birthplace in San Francisco to greater Boston. But the site’s popularity then took a more traditional route of traveling only short distances, implying face-to-face interactions; this approach made early adopters of Somerville, Mass., and Berkeley, Calif. — cities close to Boston and San Francisco, respectively. Twitter use then spread through early majority cities such as Santa Fe and Los Angeles and late majority cities such as Baltimore and Las Vegas before reaching laggards such as Palm Beach, Fla., and Newark, N.J. All these cities ultimately ranked among the 408 nationwide with the largest numbers of Twitter accounts.

“Even on the Internet where we may think the world is flat, it’s not,” says Marta González, assistant professor of civil and environmental engineering and engineering systems at MIT, who is co-author of a paper on this subject appearing this month in the journal PLoS ONE. “The big question for people in industry is ‘How do we find the right person or hub to adopt our new app so that it will go viral?’ But we found that the lone tech-savvy person can’t do it; this also requires word of mouth. The social network needs geographical proximity. … In the U.S. anyway, space and similarity matter.”

For nearly 50 years, marketers have studied the “diffusion of innovations” (named by Everett Rogers in his 1962 book of the same title) to predict how the purchase of expensive, durable goods such as cars and refrigerators will spread. But the diffusion of high-tech websites and cheap smartphone apps is thought to occur in a very different way.

“Nobody has ever really looked at the diffusion among innovators of a no-risk, free or low-cost product that’s only useful if other people join you. It’s a new paradigm in economics: what to do with all these new things that are free and easy to share,” says MIT graduate student Jameson Toole, a co-author of the paper.

Meeyoung Cha of the Korea Advanced Institute of Science and Technology is the third co-author, and also the person who had the prescience to begin downloading Twitter-published user data (via Twitter API) in May 2006, when there were only a couple of hundred users. She downloaded data through August 2009, when user growth dropped off for a time.

Video: US Twitter Adoption

Each circle represents a U.S. city containing Twitter users. As time goes on, circles grow in size as more users sign up in that location. When a location has reached a 'critical mass' of users, or 13.5 percent of all eventual users have signed up, the location turns red. The line being drawn across the center of the screen is a time series of the number of new users that signed up across the whole country in a given week

González and Toole said their model of Twitter contagion didn’t fit Cha’s data until they added media influence, based on the number of news stories appearing weekly in Google News searches, data they acquired using Google Insights for Search, which provides historical search-engine data.

“Other studies have included news media in their models, but usually as a constant,” González says. “We saw that news media is not a constant. Instead, it’s media responding to people’s interest and vice versa, so we included it as random spikes.”

The study data include the growth spike that began April 15, 2009, when actor Ashton Kutcher challenged CNN to see who could first attract 1 million Twitter followers. Kutcher ultimately won, reaching the million mark in the wee hours of April 17, about half an hour before CNN. Popular talk-show host Oprah Winfrey invited Kutcher to appear on her show that same day; when she ceremoniously sent her first tweet, the pace of new news stories picked up again, and so did new Twitter accounts.

The Twitter bird was suddenly on all the wires, and Twitter’s user accounts increased fourfold because of the media attention, indicating that as recently as 2009, location-based social networks and media attention still held sway over computer-based social networks.

RELATED LINKS

Quantum Day Twitter Site
Project: Modeling the diffusion of social contagion
Department of Civil and Environmental Engineering
Engineering Systems Division
Marta González
Hackers Getting More Advanced and Dangerous
Nightwork: The MIT Hacker
Bartenders Use Physics in Mixing Cocktails
Understanding Consciousness: Types of Consciousness
The Science of Understanding Stress
The Tech of Storytelling