The Marketing Approach To Profiting From Social Media Networks

When it comes to marketing online "There is always strength in numbers". If you are observant, there is also money and from experience, the bigger the numbers, the bigger the income! In 2020, there were 3.6 billion social media users worldwide! Nigeria alone had more than 25 million of this number. That is a world of possibilities too huge to ignore! Overlooking the potential of social media and its impact on your business in this age might be similar to committing oneself to the noose. Smart businesses understand that the marketplace is ever-evolving and that great content is the differentiator. At the heart of all great contents is remarkable storytelling, a unique art through which an intended message is brought alive. There are more than a billion active users on Facebook alone. Over 900 million active users are willing log on to Facebook, Instagram and Twitter daily; The average Facebook user spends more than 15-25 minutes a day on the Facebook. If Facebook were a country, it would be the 3rd largest in the world, after India and China.Youtube the Google owned Video website exceeds a billion views per day. If Youtube was Hollywood, they would have enough material to release a number of about 60,000 new films every week. Hours of video gets uploaded to YouTube every minute, It's now a free online learning university. 

It is said that the most popular video on YouTube has been viewed over 500 million times. So just Imagine, how valuable is all these web site traffic? Facebook has reported over 2 billion dollars income. Amazing! Farmville, about the most popular games on Facebook, has more than 55 million players. Zynga, the maker of Farmville, Mafia Wars, Candy Crush and Many other Facebook games, generates annual revenue of more than $400 million! There are more than 500,000 developers building applications for Facebook. Can you imagine, why would people spend their precious time and resources doing the Application thing? It’s simply Because they know that Facebook activities is where the money lies, I mean Advertising and Traffic , As when it comes to the internet, a website with traffic has Money! When you see nothing but "millions" and "billions" in the numbers you know there has to be a way to channel some of that money into your own account. You just have to get creative!  The two suggested ways you can approach this type of marketing, simple, yet incredibly ingenious way to make money are Viral Marketing and Direct Marketing. Use one approach individually or use them both. It doesn't matter. Either way you can make money. It’s really that simple! Facebook, the most well-known social networking site, has over 500 Million daily active members and industry experts predict it to still rapidly grow over the next few years. Some other social networks available and also have millions of Users are Linkedin, Pinterest, Instagram, Twitter, Apsense Ibotoolbox.You can join all of these networks for free. Chances are very good that 95% of the people in your daily life are a part of at least one of these popular networks. Thanks to social network web sites exploding across the web, friends and family are now connected more than ever. Even strangers are connecting through interest groups on these networks. Finding people you know, meeting new people, and communicating with them all has become a very simple process. And YES... You can figure out ways to make profits from these social networks by making entertaining videos, offering needed services, selling products, being an influencer marketer and much more. Wishing you a wonderful day.

A Review Of Journal Article On Search Engine Operations (Part 3)

You are welcome to my blog today. This is the third and final part of the post: A Review Of Journal Article On Search Engine Operations as you can read the previous part here, Enjoy reading and have a wonderful day.. Kumari, Gupta & Dixit (2014) in their research paper discussed the page rank algorithm.The paper highlights the strengths, weaknesses. They explained that the Page Rank algorithm uses link structure to determine the importance of web page. This algorithm is based on random surfer model. According to them, the random surfer model assumes that a user randomly keeps on clicking the links on a page and if she/he get bored of a page then switches to another page randomly. Thus, a user under this model shows no bias towards any page or link. Page Rank (PR) is the probability of a page being visited by such user under this model. Page Rank algorithm assumes that if a page has a link to another page then it votes for that page. Therefore, each in-link to a page raises its importance. Page Rank is a recursive algorithm in which the Page Rank of a page depends upon the Page Rank of the pages linking to it. Thus, not only the number of in-links of a page influences its ranking but also the page ranks of the pages linking to it. A page confers importance to the pages it references to by evenly distributing its Page Rank value among all its  out-links.  Kumari, Gupta & Dixit (2014) gave the working formula that the Page Rank algorithm uses to rank a page. The formula is stated as follows.
PR(P) = 1 – d + d
·        Where N0...Nn are the pages that point to page P.
·        O(Ni) is defined as the number of links going out of page P.
·        The parameter d is a Damping factor which can be set between 0 and 1.
They further explained that damping factor, d is the probability of user’s following the direct links and 1- d denotes the rank distribution from non– directly linked web pages. It is usually set to 0.85.
Kumari, Gupta & Dixit (2014) further outlined the strengths and weaknesses of the Page Rank algorithm. The strengths included:
·        Less Time consuming:- As Page Rank is a query independent algorithm i.e. it computes the rank score ahead, so it takes very less time .
·         Feasibility:-This algorithm is more feasible as it computes rank score at indexing time not at query time.
·        Importance: - It returns important pages as Rank is calculated on the basis of the popularity of a page.
·         Less susceptibility to localized links: - For calculating rank value of a page, it consider the entire web graph, rather than a small subset, it is less susceptible to localized link spam.
The weaknesses as highlighted by them include:
·        The main disadvantage is that it favors older pages, because a new page, even a very good one, will not have many links unless it is part of an existing web site.
·        Relevancy of the resultant pages to the user query is very less as it does not consider the content of web page.
·        Dangling link: This occurs when a page contains a link such that the hypertext points to a page with no outgoing links. Such a link is known as Dangling Link.
·        Rank Sinks: The Rank sinks problem occurs when in a network pages get in infinite link cycles.
·        Dead Ends: Dead Ends are simply pages with no outgoing links.
·        Spider Traps: Another problem in Page Rank is Spider Traps. A group of pages is a spider trap if there are no links from within the group to outside the group.
·        Circular References: If you have circle references in your website, then it will reduce your front page’s Page Rank.
Wenpu Xing and Ali Ghorbani projected a Weighted Page Rank (WPR) algorithm which is a modification to the Page Rank algorithm. This algorithm assigns a larger rank values to the more important pages rather than dividing the rank value of a page evenly among its outgoing linked pages. Each outgoing link gets a value proportional to its importance. The importance is assigned in terms of weight values to the incoming and outgoing links.  The strengths of the weighted page rank include:
·        Quality: Quality of the pages returned by this algorithm is high as compared to Page Rank algorithm.
·        Efficiency: It is more efficient than Page Rank because rank value of a page is divided among its out-link pages according to importance of that page.One noticeable weakness about this algorithm is that as this algorithm considers only link structure not the content of the page, it returns less relevant results to the user query. I have these posts series have given you a better understanding of search engine operations. Have a nice time and Thank you for reading.