//DONE
public List <IUser> PreliminaryFiltering(ITweet[] forFilter)
{
for (int i = 0; i < forFilter.Length; i++)
{
var followersCount = forFilter[i].CreatedBy.FollowersCount;
var friendsCount = forFilter[i].CreatedBy.FriendsCount;
var followerRank = (double)followersCount / (double)(followersCount + friendsCount);
if (followersCount > ProFeedApiParameters.ProFeedAlgParameters.MinFolowers && followersCount < ProFeedApiParameters.ProFeedAlgParameters.MaxFolowers && followerRank > ProFeedApiParameters.ProFeedAlgParameters.MinRankFirstStep)
{
if (!Influencers.Contains(forFilter[i].CreatedBy))
{
Influencers.Add(forFilter[i].CreatedBy);
InfluencersDagree.Add(1);
}
else
{
var index = Influencers.IndexOf(forFilter[i].CreatedBy);
InfluencersDagree[index]++;
}
Console.WriteLine(Influencers);
}
}
AlgoLevel++;
PotentialInfluencersFriend();
return(Influencers);
}
public async void Get()
{
var jData = await DataService.Get($"Influencer/{Preferences.Get("TeamId", "")}");
if (jData == "ConnectionError")
{
StandardMessagesDisplay.NoConnectionToast();
}
else if (jData == "null")
{
StandardMessagesDisplay.NoDataDisplayMessage();
}
else if (jData == "Error")
{
StandardMessagesDisplay.Error();
}
else if (jData == "ErrorTracked")
{
StandardMessagesDisplay.ErrorTracked();
}
else
{
try
{
var data = JsonConvert.DeserializeObject <Dictionary <string, InfluencerModel> >(jData);
if (data != null)
{
foreach (KeyValuePair <string, InfluencerModel> item in data)
{
Influencers?.Add(
new InfluencerModel
{
Id = item.Value.Id,
FId = item.Key.ToString(),
Name = item.Value.Name,
Contact = item.Value.Contact,
Position = item.Value.Position,
DoesHeProvidingSupport = item.Value.DoesHeProvidingSupport
}
);
}
}
}
catch (Exception ex)
{
Crashes.TrackError(ex);
StandardMessagesDisplay.InputToast(ex.Message);
}
}
}
public List <IUser> PreliminaryFiltering(IUser[] forFilter)
{
for (int i = 0; i < forFilter.Length; i++)
{
var followersCount = forFilter[i].FollowersCount;
var friendsCount = forFilter[i].FriendsCount;
var followerRank = (double)followersCount / (double)(followersCount + friendsCount);
if (followersCount > ProFeedApiParameters.ProFeedAlgParameters.MinFolowers && followersCount < ProFeedApiParameters.ProFeedAlgParameters.MaxFolowers && followerRank > ProFeedApiParameters.ProFeedAlgParameters.MinRankScondStep)
{
if (!Influencers.Contains(forFilter[i]))
{
Influencers.Add(forFilter[i]);
InfluencersDagree.Add(1);
}
else
{
var index = Influencers.IndexOf(forFilter[i]);
InfluencersDagree[index]++;
}
}
}
AlgoLevel++;
return(Influencers);
}